Difference between revisions of "Task ideas for Google Code-in"
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An informal spot for outlining ideas for the [[Google Code-in]] (GCI). |
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{{TOCD}} |
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==Task list== |
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This is the task ideas page for [https://developers.google.com/open-source/gci/ Google Code-in], here you can find ideas on interesting tasks that will improve your knowledge of Apertium and help you get into the world of open-source development. |
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The people column lists people who you should get in contact with to request further information. All tasks are 2 hours maximum estimated amount of time that would be spent on the task by an experienced developer, however: |
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{|class="wikitable sortable" |
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! Area !! Difficulty !! Title !! Description !! People |
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<!--# '''this does not include time taken to [[Minimal installation from SVN|install]] / set up apertium (and relevant tools)'''.--> |
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# this is the time expected to take by an experienced developer, you may find that you spend more time on the task because of the learning curve. |
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<!--Если ты не понимаешь английский язык или предпочитаешь работать над русским языком или другими языками России, смотри: [[Task ideas for Google Code-in/Russian]]--> |
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'''Categories:''' |
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* {{sc|code}}: Tasks related to writing or refactoring code |
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* {{sc|documentation}}: Tasks related to creating/editing documents and helping others learn more |
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* {{sc|research}}: Tasks related to community management, outreach/marketting, or studying problems and recommending solutions |
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* {{sc|quality}}: Tasks related to testing and ensuring code is of high quality. |
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* {{sc|design}}: Tasks related to user experience research or user interface design and interaction |
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'''Clarification of "multiple task" types''' |
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* multi = number of students who can do a given task (GCI's "max instances") |
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* dup = number of times a student can do the same task |
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You can find descriptions of some of the mentors [[List_of_Apertium_mentors | here]]. |
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== Task ideas == |
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'''The current task ideas here are for 2019.''' See [[Talk:Task ideas for Google Code-in]] for task ideas from previous years. |
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<table class="sortable wikitable" style="display: none"> |
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<tr><th>type</th><th>title</th><th>description</th><th>tags</th><th>mentors</th><th>bgnr?</th><th>multi?</th><th>duplicates</th></tr> |
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{{Taskidea |
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|type=research, quality, documentation |
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|title=Adopt a Wiki page |
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|description=Request an Apertium wiki account and adopt a wiki page by updating and fixing any issues with it. Examples of things to update might be documentation that still refers to our SVN repo (we're on GitHub now), documentation of new features, clarification of unclear things, indicating that a page no longer reflects how things are done, "archiving" a page that represents deprecated information, or updating documentation to reflect the current options and defaults of various tools. |
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|tags=wiki |
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|mentors=* |
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|multi=150 |
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|beginner=yes |
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}} |
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{{Taskidea |
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|type=research, quality, documentation |
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|title=Test instructions on Apertium wiki |
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|description=Find a page on the Apertium wiki that documents how to do something (hint: check the [http://wiki.apertium.org/wiki/Category:Documentation Documentation] category). Then try to follow the instructions. Check with your mentor when you get stuck. Modify the instructions as necessary. If the instructions are for something that is deprecated or no longer used by the community, either mark them as deprecated (category, banner at top of page, fix links to page) and/or modify them to match current practices. |
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|tags=wiki |
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|mentors=* |
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|multi=150 |
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|beginner=yes |
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}} |
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{{Taskidea |
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|type=research, code |
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|title=expand coverage of Kyrgyz to English structural transfer |
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|description=Find a sentence in Kyrgyz that once the lexical items are added to the bilingual dictionary is not fully (or correctly) parsed by the <tt>kir-eng-transfer</tt> Apertium mode. Determine what rule(s) need(s) to be added (or fixed) to cover this structure, and update <tt>apertium-eng-kir.kir-eng.rtx</tt> accordingly. You will first want to clone and compile [https://github.com/apertium/apertium-eng-kir apertium-eng-kir]. |
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|tags=Kyrgyz, English, recursive transfer, pairs |
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|mentors=JNW, popcorndude |
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|multi=150 |
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|dup=10 |
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}} |
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{{Taskidea |
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|type=code |
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|title=Add recursive transfer support to a language pair that doesn't support it |
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|description=Make a branch of an Apertium language pair that doesn't support recursive transfer and call it "recursive transfer". Add vanilla <tt>.rtx</tt> files for both directions, and modify <tt>Makefile.am</tt> and <tt>modes.xml</tt> so that the branch compiles and runs. See [http://wiki.apertium.org/wiki/Apertium-recursive#Incorporating_Into_a_Pair this page] for instructions on how to do this. |
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|tags=recursive transfer, pairs |
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|mentors=JNW, popcorndude |
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|multi=150 |
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|dup=10 |
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|beginner=yes |
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}} |
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{{Taskidea |
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|type=code |
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|title=Add 2 recursive transfer rules to a language pair |
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|description=Add two recursive transfer rules to an Apertium language pair. These rules consist of, at minimum, a syntactic pattern to match, a phrase to combine them into, and an output pattern ([http://wiki.apertium.org/wiki/Apertium-recursive#Further_Documentation more documentation here]). If the language pair does not support recursive transfer, make sure [http://wiki.apertium.org/wiki/Apertium-recursive#Incorporating_Into_a_Pair to set it up] first. Submit your work as a pull request to a new branch ("recursive", "rtx", or similar) of the repository on GitHub. |
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|tags=recursive transfer, pairs |
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|mentors=JNW, popcorndude |
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|multi=150 |
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|dup=20 |
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}} |
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{{Taskidea |
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|type=code |
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|mentors=JNW, wei2912, padth4i, popcorndude |
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|title=Use apertium-init to bootstrap a new language pair |
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|description=Use the [[Apertium-init]] script to bootstrap a new translation pair between two languages which have monolingual modules already in Apertium. To see if a translation pair has already been made, search our repositories on [https://github.com/apertium/ github], and especially ask on IRC. Add 100 common stems to the dictionary. Your submission should be in the form of a repository on github that we can fork to the Apertium organisation. |
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|tags=languages, bootstrap, dictionaries, translators |
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|beginner=yes |
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|multi=25 |
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}} |
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{{Taskidea |
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|type=code |
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|mentors=JNW, wei2912, padth4i, popcorndude |
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|title=Use apertium-init to bootstrap a new language module |
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|description=Use the [[Apertium-init]] script to bootstrap a new language module that doesn't currently exist in Apertium. To see if a language is available, search our repositories on [https://github.com/apertium/ github], and especially ask on IRC. Add enough stems and morphology to the module so that it analyses and generates at least 100 correct forms. Your submission should be in the form of a repository on github that we can fork to the Apertium organisation. [[Task ideas for Google Code-in/Add words from frequency list|Read more about adding stems...]] |
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|tags=languages, bootstrap, dictionaries |
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|beginner=yes |
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|multi=25 |
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}} |
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{{Taskidea |
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|type=code |
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|mentors=JNW, sevilay, Unhammer, marcriera, padth4i, Oguz, popcorndude |
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|title=Write 10 lexical selection for an existing translation pair |
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|description=Add 10 lexical selection rules to an existing translation pair. Submit your work as a github pull request to that pair. [[Task ideas for Google Code-in/Add lexical-select rules|Read more...]] |
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|tags=languages, bootstrap, lexical selection, translators |
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|multi=25 |
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|dup=5 |
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}} |
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{{Taskidea |
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|type=code |
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|mentors=JNW, Unhammer, padth4i, Oguz, popcorndude |
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|title=Write 10 constraint grammar rules for an existing language module |
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|description=Add 10 constraint grammar rules to an existing language module for a language that you know. Submit your work as a github pull request to that pair. [[Task ideas for Google Code-in/Add constraint-grammar rules|Read more...]] |
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|tags=languages, bootstrap, constraint grammar |
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|multi=25 |
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|dup=5 |
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}} |
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{{Taskidea |
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|type=research |
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|mentors=anakuz, fotonzade |
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|title=Syntactic annotation of text |
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|description=Pick a text of about 200 words and make a syntactic annotation for it according to the Universal Dependencies treebank. UD Annotatrix can be used for visualisation. Consult with your mentor about the language. |
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|tags=UD, trees, annotation |
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}} |
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{{Taskidea |
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|type=research |
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|mentors=JNW,ftyers, fotonzade, anakuz, Oguz |
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|title=Create a UD-Apertium morphology mapping |
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|description=Choose a language that has a Universal Dependencies treebank and tabulate a potential set of Apertium morph labels based on the (universal) UD morph labels. See Apertium's [[list of symbols]] and [http://universaldependencies.org/ UD]'s POS and feature tags for the labels. |
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|tags=morphology, ud, dependencies |
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|beginner= |
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|multi=5 |
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}} |
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{{Taskidea |
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|type=research |
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|mentors=JNW, ftyers, fotonzade, anakuz |
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|title=Create an Apertium-UD morphology mapping |
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|description=Choose a language that has an Apertium morphological analyser and adapt it to convert the morphology to UD morphology |
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|tags=morphology, ud, dependencies |
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|beginner= |
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|multi=5 |
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}} |
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{{Taskidea |
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|type=quality |
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|title=Install Apertium and verify that it works |
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|description=See [[Installation]] for instructions and if you encounter any issues along the way, document them and/or improve the wiki instructions! |
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|tags=bash |
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|mentors=ftyers, JNW, Unhammer, anakuz, Josh, fotonzade, sevilay, eirien, wei2912, padth4i, jjjppp |
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|multi=150 |
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|beginner=yes |
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}} |
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{{Taskidea |
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|type=research |
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|title=Write a contrastive grammar |
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|description=Document 6 differences between two (preferably related) languages and where they would need to be addressed in the [[Apertium pipeline]] (morph analysis, transfer, etc). Use a grammar book/resource for inspiration. Each difference should have no fewer than 3 examples. Put your work on the Apertium wiki under [[Language1_and_Language2/Contrastive_grammar]]. See [[Farsi_and_English/Pending_tests]] for an example of a contrastive grammar that a previous GCI student made. |
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|mentors=mlforcada, JNW, Josh, xavivars, fotonzade, sevilay, khannatanmai, dolphingarlic, padth4i |
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|tags=wiki, languages |
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|beginner=yes |
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|multi=40 |
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}} |
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{{Taskidea |
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|type=quality |
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|mentors=mlforcada, anakuz, xavivars, fotonzade, sevilay, Unhammer, eirien, dolphingarlic, wei2912, marcriera, padth4i, Oguz, JNW, jjjppp |
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|tags=xml, dictionaries |
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|title=Identify and add 100 new entries to the bilingual dictionary for the %AAA%-%BBB% language pair |
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|description=Our translation systems require large lexicons so as to provide production-quality coverage of any input data. This task requires the student to add 100 new words to a bidirectional dictionary. With the help of your mentor, identify some text in either %AAA% or %BBB% and run it through Apertium's %AAA%-%BBB% translator to identify 50 unknown forms. Add the stems of these forms to the analyser in an appropriate way so that these words are analysed correctly. Your submission should be in the form of a pull request to each of the appropriate repositories on GitHub. [http://wiki.apertium.org/wiki/Task_ideas_for_Google_Code-in/Grow_bilingual More instructions for this task here]... |
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|multi=40 |
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|beginner=yes |
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}} |
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{{Taskidea |
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|type=quality |
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|mentors=mlforcada, anakuz, xavivars, fotonzade, ftyers, sevilay, eirien, dolphingarlic, wei2912, marcriera, padth4i, Oguz, JNW |
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|tags=xml, dictionaries |
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|title=Identify and add 250 new entries to the bilingual dictionary for the %AAA%-%BBB% language pair |
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|description=Our translation systems require large lexicons so as to provide production-quality coverage of any input data. This task requires the student to add 250 new words to a bidirectional dictionary. With the help of your mentor, identify some text in either %AAA% or %BBB% and run it through Apertium's %AAA%-%BBB% translator to identify 50 unknown forms. Add the stems of these forms to the analyser in an appropriate way so that these words are analysed correctly. Your submission should be in the form of a pull request to each of the appropriate repositories on GitHub. [http://wiki.apertium.org/wiki/Task_ideas_for_Google_Code-in/Grow_bilingual More instructions for this task here]... |
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|dup=20 |
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|beginner=no |
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}} |
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{{Taskidea |
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|type=quality |
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|mentors=fotonzade, JNW, ftyers, anakuz, xavivars, mlforcada, shardulc, sevilay, Unhammer, dolphingarlic, wei2912, marcriera |
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|tags=xml, dictionaries |
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|title=Post-edit 500 sentences of any public domain text from %AAA% to %BBB% |
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|description=Many of our systems benefit from statistical methods used with (ideally public domain) bilingual data. For this task, you need to translate a public domain text from %AAA% to %BBB% using any available machine translation system and clean up the translations yourself manually. Commit the post-edited texts (in plain text format) to an existing (via pull request) or if needed new github repository for the language pair in dev/ or texts/ folder. The texts are subject to mentor approval. |
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|multi=10 |
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|beginner=yes |
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}} |
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{{Taskidea |
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|type=quality |
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|mentors=mlforcada, anakuz, xavivars, fotonzade, sevilay, dolphingarlic, wei2912, marcriera, padth4i |
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|tags=disambiguation |
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|title=Disambiguate 500 tokens of text in %AAA% |
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|description=Run some text through a morphological analyser and disambiguate the output. Discuss with the mentor beforehand to approve the choice of language and text. [http://wiki.apertium.org/wiki/Task_ideas_for_Google_Code-in/Manually_disambiguate_text Read more]... |
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|multi=yes |
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}} |
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{{Taskidea |
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|type=research |
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|mentors=eirien, anakuz, marcriera, padth4i |
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|tags=dictionaries |
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|title=Categorise 100 words from frequency list in %AAA% |
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|description=Categorise words by frequency into one of the major part-of-speech categories. You will receive a frequency list. Work from top to bottom. At the beginning of each line you should put a letter which categorises the word form by its part-of-speech. For example n for noun, v for verb, etc. [http://wiki.apertium.org/wiki/Task_ideas_for_Google_Code-in/Categorise_words_from_frequency_list Read more]... <!-- Wouldn't it be better for them to to add directly to the analyser? Easier for us, and more educational for them! -JNW --> |
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|multi=yes |
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|beginner=yes |
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}} |
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{{Taskidea |
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|type=research |
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|mentors=eirien, anakuz, sevilay, marcriera |
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|tags=dictionaries |
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|title=Categorise 500 words from frequency list in %AAA% |
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|description=Categorise words by frequency into one of the major part-of-speech categories. You will receive a frequency list. Work from top to bottom. At the beginning of each line you should put a letter which categorises the word form by its part-of-speech. For example n for noun, v for verb, etc. [http://wiki.apertium.org/wiki/Task_ideas_for_Google_Code-in/Categorise_words_from_frequency_list Read more]... <!-- Wouldn't it be better for them to to add directly to the analyser? Easier for us, and more educational for them! -JNW --> |
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|multi=yes |
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}} |
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{{Taskidea |
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|type=research |
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|mentors=khannatanmai, sevilay, padth4i |
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|tags=evaluation |
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|title=Evaluate an existing apertium pair %AAA% to %BBB% on a text |
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|description= Pick an existing apertium pair and get a parallel text for that language pair. Translate %AAA% to %BBB% and evaluate the translation using an automatic evaluation metric like BLEU or/and evaluate it manually. [http://wiki.apertium.org/wiki/Task_ideas_for_Google_Code-in/Evaluation_of_translation_of_an_existing_pair Read more]... |
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}} |
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{{Taskidea |
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|type=code, research |
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|title=Add apertium-anaphora support to a new language pair |
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|description=Make a branch of an Apertium language pair that doesn't use apertium-anaphora yet, and call it "anaphora". Manually add the correct antecedent to side ref of the anaphors in the output of biltrans, and modify t1x to change the anaphor based on its antecedent. Verify that it runs and gives the correct anaphor. See the [http://wiki.apertium.org/wiki/Anaphora_Resolution_Module documentation] of the apertium-anaphora module for help. |
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|tags=apertium-anaphora, transfer |
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|mentors=khannatanmai |
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}} |
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{{Taskidea |
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|type=code, research |
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|title=Add one markable to the arx file for a language pair |
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|description=The arx file is where we tell the anaphora resolution algorithm which patterns to detect and score, when we want to find the antecedent of an anaphor. Add one rule in this file which can help the algorithm find out the antecedent of an anaphor - specify the pattern to detect and the positive or negative score you want to give to the noun in this pattern. See the [http://wiki.apertium.org/wiki/Anaphora_Resolution_Module documentation] of the apertium-anaphora module for help. |
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|tags=apertium-anaphora, anaphora resolution |
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|mentors=khannatanmai, popcorndude |
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}} |
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{{Taskidea |
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|type=code |
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|title=Write a TextMate grammar for CG-3 syntax highlighting |
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|description=We want CG-3 files to be syntax highlighted in Github. They use TextMate-compatible grammars. See [https://github.com/TinoDidriksen/cg3/issues/48 issue 48] in the CG-3 repo. |
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|tags=cg, editors, tools |
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|mentors=Unhammer |
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}} |
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{{Taskidea |
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|type=code |
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|title=Make Apertium IRC bot's messaging system case-insensitive |
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|description=[[Begiak]] is Apertium's IRC bot. It has a messaging system, where you can say e.g. "begiak, tell randomuser thanks for the tip!" or "begiak: ask randomuser where they filed that issue", and the bot will deliver the message next time it sees randomuser say something. There's been [https://github.com/apertium/phenny/issues/488 a request] for begiak to recognise case-insensitive commands. Your job is to create a fix for this and submit a pull request to the repository with the fix. |
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|tags=python, irc |
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|beginner=yes |
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|mentors=JNW, popcorndude |
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}} |
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{{Taskidea |
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|type=code |
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|title=Make Apertium's IRC bot's updating of Apertium's wiki format numbers better |
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|description=[[Begiak]] is Apertium's IRC bot. It has a module that allows users on IRC to trigger a script that updates the Apertium wiki with statistics about Apertium modules. There have been [https://github.com/apertium/phenny/issues/485 complaints about the formatting of the numbers it writes]. Your job is to create a fix for this and submit a pull request to the repository with the fix. |
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|tags=python, irc, wiki |
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|beginner=yes |
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|mentors=JNW, popcorndude |
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}} |
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{{Taskidea |
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|type=code |
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|title=Create a new init script for Apertium's IRC bot |
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|description=[[Begiak]] is Apertium IRC bot. It runs on a low-power server that runs Debian. Sometimes that server is reset, and we have to manually restart begiak. The init script that used to control begiak no longer seems to work. Your task is to create a new init script that supports the normal sort of actions that init scripts do, and also the following options for begiak: the specific path to run it from, the user to run it as, miscellaneous arguments, and a log file to log its output. This init script should live in the repository in a reasonable place. There is a [https://github.com/apertium/phenny/issues/484 github issue describing this task]. |
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|tags=python, debian, init, irc |
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|mentors=JNW |
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}} |
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{{Taskidea |
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|type=documentation |
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|mentors=JNW, flammie, popcorndude |
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|title=Add comments to a dictionary defining the symbols used in it |
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|description=Add comments to a monolingual or bilingual dictionary file (.lexc/.dix, .dix) in the symbol definitions area that clarify what each symbol stands for. Also direct the comment reader to the Apertium wiki page on symbol definitions for more information. |
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|tags=dictionaries |
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|dup=10 |
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}} |
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{{Taskidea |
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|type=documentation |
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|mentors=JNW, popcorndude |
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|title=find symbols that aren't on the list of symbols page |
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|description=Go through the symbol definitions in Apertium dictionaries on GitHub (.lexc and .dix format), and document any symbols you don't find on the [[List of symbols]] page. This task is fulfilled by adding at least one class of related symbols (e.g., xyz_*) or one major symbol (e.g., abc), along with notes about what it means. |
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|tags=wiki,dictionaries |
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}} |
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{{Taskidea |
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|type=documentation |
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|title=document usage of the apertium-separable module |
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|mentors=JNW, khannatanmai, popcorndude |
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|description=Document which language pairs have included the [[apertium-separable]] module in its package, which have beta-tested the lsx module, and which are good candidates for including support for lsx. Add to [[Lsx_module/supported_languages|this wiki page]] |
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|tags=lsx, dictionaries, wiki |
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}} |
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{{Taskidea |
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|type=quality |
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|title=Beta-test the apertium-separable module |
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|mentors=JNW, ftyers, wei2912, khannatanmai, dolphingarlic, popcorndude |
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|description= [[Lsx_module#Creating_the_lsx-dictionary|create an lsx dictionary]] in both directions for any relevant and existing language pair that doesn't yet support it (as a "separable" branch in its GitHub repository), adding 10-30 entries to it in one or both directions. Thoroughly test to make sure the output is as expected. Report bugs/non-supported features and add them to [[Lsx_module#Future_work| future work]]. Document your tested language pair by listing it under [[Lsx_module#Beta_testing]] and in [[Lsx_module/supported_languages|this wiki page]] |
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|tags=lsx, dictionaries |
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|multi=yes |
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|dup=20 |
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}} |
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{{Taskidea |
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|type=code, quality |
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|title=script to test coverage of analyser over corresponding wikipedia corpus |
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|mentors=JNW, wei2912 |
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|description=Write a script (in python or ruby) that tests coverage of an Apertium analyser over the latest Wikipedia corpus in that language. One mode of this script should check out a specified language module to a given directory, compile it (or updates it if already existant), and then get the most recently Wikipedia nightly archive for that language and run coverage over it (as much in RAM if possible). In another mode, it should compile the language pair in a docker instance that it then disposes of after successfully running coverage. Scripts exist in Apertium already for finding where a Wikipedia is, extracting a Wikipedia archive into a text file, and running coverage. Ask a mentor for help finding these scripts. |
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|tags=python, ruby, wikipedia |
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}} |
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{{Taskidea |
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|type=code, design |
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|title=Make source browser headings sticky at bottom of window |
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|description=Make headings that are out of view (either below when at the top, or above when scrolled down) sticky on [https://apertium.github.io/apertium-on-github/source-browser.html Apertium source browser], so that it's clear what other headings exist. There is a [https://github.com/apertium/apertium-on-github/issues/22 github issue for this]. |
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|tags=css, javascript, html, web |
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|mentors=sushain, JNW, xavivars |
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|multi= |
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|beginner=no |
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}} |
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{{Taskidea |
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|type=code, design |
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|mentors=JNW, jjjppp, sushain, dolphingarlic |
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|tags=d3, javascript |
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|title=Integrate globe viewer into language family visualiser interface |
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|description=The [https://github.com/apertium/family-visualizations family visualiser interface] has four info boxes when a language is clicked on, and one of those boxes is empty. The [https://github.com/jonorthwash/Apertium-Global-PairViewer globe viewer] provides a globe visualisation of languages that we can translate a given language to and from. This task is to integrate the globe viewer for a specific language into the fourth box in the family visualiser. There is an [https://github.com/jonorthwash/Apertium-Global-PairViewer/issues/32 associated GitHub issue]. |
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|multi=no |
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|beginner=no |
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}} |
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{{Taskidea |
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|type=code |
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|mentors=JNW, jjjppp, dolphingarlic |
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|tags=d3, javascript |
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|title=Change hard-coded values to dynamic in the globe viewer's code |
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|description=The [https://github.com/jonorthwash/Apertium-Global-PairViewer globe viewer] provides a globe visualisation of languages that we can translate a given language to and from. This task is to clean up its source code by changing hard-coded values (e.g. scales and object sizes) to dynamic values so that the code will be easier to maintain in the future. There is an [https://github.com/jonorthwash/Apertium-Global-PairViewer/issues/24 associated GitHub issue]. |
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|multi=no |
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|beginner=no |
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}} |
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{{Taskidea |
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|type=code |
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|mentors=JNW, jjjppp, dolphingarlic |
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|tags=d3, javascript |
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|title=Fix fading for flyers in globe viewer |
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|description=The [https://github.com/jonorthwash/Apertium-Global-PairViewer globe viewer] provides a globe visualisation of languages that we can translate a given language to and from. Currently, the flyers, which are the 3D colored connections, fade as either end of the connection goes out of the current scope of the globe. However, this causes flyers that connect two far away languages to be invisible (see issue for example). This task is to change the current fading function to account for far away connections and allow them to stay visible. There is an [https://github.com/jonorthwash/Apertium-Global-PairViewer/issues/22 associated GitHub issue]. |
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|multi=no |
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|beginner=yes |
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}} |
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{{Taskidea |
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|type=design |
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|mentors=JNW, ftyers |
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|tags=UD, design, svg |
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|title=Design a logo for UD Annotatrix |
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|description=UD Annotatrix needs a better logo, or set of logos. Have a look at the [https://github.com/jonorthwash/ud-annotatrix/tree/master/server/public current logos] and [https://jonorthwash.github.io/ud-annotatrix/ see them in use]. Design a potential replacement logo that meets the following requirements: somehow incorporates what UD Annotatrix is / is for, is not "cluttered" (like the current cat logo), and can be used at different sizes. |
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|multi=yes |
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|beginner=no |
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}} |
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{{Taskidea |
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|type=quality, documentation, design |
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|mentors=* |
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|tags=video, tutorial |
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|title=Video tutorial: installing Apertium, adding to dictionary, and submitting a PR |
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|description=Post a video online that (1) demonstrates how to install Apertium on an operating system of your choice, (2) demonstrates how to clone and compile an Apertium translation pair of your choice, (3) shows how to add a new word to the dictionary (categorised correctly), and (4) shows how to submit the updated dictionary as a pull request to Apertium's git repository. Add a link to the video on the [http://wiki.apertium.org/wiki/Installation#Installation_Videos installation videos page] of the Apertium wiki.<br/>The title of the video should make it easy to find, and so should probably be similar to the title of this task. We recommend a screencast with voice-over posted to YouTube, but the format and venue are up to you as long as it is publicly accessible for long term. Here are [https://www.youtube.com/playlist?list=PLHldb9r6QkVFsuxlAoVS-OL32aurUOZLC some example videos] that are relevant but that could probably be improved upon.<br/>The video **does not have to be in English**; we can evaluate it in any of the following languages: %ZZZ%. Please let us know when you claim the task what language you plan to create the video in, so that we know which mentor(s) should primarily work to evaluate your task. |
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|multi=200 |
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|beginner=yes |
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}} |
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{{Taskidea |
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|type=quality |
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|mentors=mlforcada, anakuz, xavivars, fotonzade, sevilay, Unhammer, eirien, dolphingarlic, wei2912, marcriera, padth4i, Oguz, JNW, jjjppp |
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|tags=xml, dictionaries |
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|title=Identify and add 100 new entries to a bilingual dictionary |
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|description=Our translation systems require large lexicons so as to provide production-quality coverage of any input data. This task requires the student to add 100 new words to a bidirectional dictionary. Choose one of the language pairs listed below, and with the help of your mentor, identify some text in one of the two languages, and run the text through Apertium's translator for that language pair to identify 100 unknown forms. As needed, add the stems of these forms to the individual languages' analysers in an appropriate way so that these words are analysed correctly. Your submission should be in the form of a pull request to each of the appropriate repositories on GitHub.<br/>The language pairs we can mentor for this task are the following: %ALLPAIRS%.<br/> [http://wiki.apertium.org/wiki/Task_ideas_for_Google_Code-in/Grow_bilingual More instructions for this task here]... |
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|multi=40 |
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|dup=10 |
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|beginner=yes |
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}} |
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{{Taskidea |
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|type=quality |
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|mentors=mlforcada, anakuz, xavivars, fotonzade, ftyers, sevilay, eirien, dolphingarlic, wei2912, marcriera, padth4i, Oguz, JNW |
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|tags=xml, dictionaries |
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|title=Identify and add 250 new entries to a bilingual dictionary |
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|description=Our translation systems require large lexicons so as to provide production-quality coverage of any input data. This task requires the student to add 250 new words to a bidirectional dictionary. Choose one of the language pairs listed below, and with the help of your mentor, identify some text in one of the two languages, and run the text through Apertium's translator for that language pair to identify 250 unknown forms. As needed, add the stems of these forms to the individual languages' analysers in an appropriate way so that these words are analysed correctly. Your submission should be in the form of a pull request to each of the appropriate repositories on GitHub.<br/>The language pairs we can mentor for this task are the following: %ALLPAIRS%.<br/> [http://wiki.apertium.org/wiki/Task_ideas_for_Google_Code-in/Grow_bilingual More instructions for this task here]... |
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|multi=40 |
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|dup=10 |
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|beginner=no |
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}} |
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{{Taskidea |
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|type=quality |
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|mentors=fotonzade, JNW, ftyers, anakuz, xavivars, mlforcada, shardulc, sevilay, Unhammer, dolphingarlic, wei2912, marcriera |
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|tags=xml, dictionaries |
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|title=Post-edit 500 sentences of a public domain text |
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|description=Many of our systems benefit from statistical methods used with (ideally public domain) bilingual data. For this task, you need to translate a public domain text using an available machine translation system (Apertium preferred) and clean up the translation yourself manually. Commit the source text and post-edited translation (in plain text format) to an existing (via pull request) or if needed new github repository for the language pair in dev/ or texts/ folder. The texts are subject to mentor approval.<br/>The language pairs we can hypothetically mentor for this task (pending their existence) are the following: %ALLPAIRS%. |
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|multi=40 |
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|dup=10 |
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|beginner=yes |
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}} |
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{{Taskidea |
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|type=research |
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|mentors=khannatanmai, sevilay, padth4i |
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|tags=evaluation |
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|title=Evaluate an existing Apertium translation pair on a text |
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|description= Pick an existing Apertium language pair and get a parallel text for that language pair. Translate the text using the Apertium translation pair and evaluate the translation using an automatic evaluation metric like BLEU and/or evaluate it manually.<br/>The language pairs we can mentor for this task (pending their existence) are the following: %ALLPAIRS%.<br/>[http://wiki.apertium.org/wiki/Task_ideas_for_Google_Code-in/Evaluation_of_translation_of_an_existing_pair Read more]... |
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|multi=40 |
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|dup=10 |
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}} |
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<!-- {{Taskidea |
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|type=quality |
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|mentors=* |
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|tags=localisation |
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|title=Complete website localisation in a language not fully localised |
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|description= |
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|multi= |
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}} --> |
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<!-- NEW TASKS BELOW --> |
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</table> |
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==Mentors== |
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These are languages that can be substituted for AAA and/or BBB for tasks each mentor is listed to mentor above. |
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If you do not see your language here, ask. We may be able to mentor or find you a mentor. |
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{|class=wikitable |
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! Mentor !! Languages |
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|- |
|- |
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| ftyers || eng, spa, cat, fra, nor, rus, por, swe, tur, gag, aze |
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|align=center| <code>CODE</code> || 2. Medium || Cross a language pair || Take two language pairs, use [[apertium-crossdics]] and clean up the resulting bilingual dictionary. For instance, build Occitan-French from Occitan-Catalan and Catalan-French. || [[User:Francis Tyers|Francis Tyers]] |
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|- |
|- |
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| JNW || eng, spa, fra, rus, tur, gag, aze, kaz, kir, kaa, tat, bak, kum, nog, kaa, uzb, uig, crh, khk, yid |
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|align=center| {{sc|code}} || 1. Hard || Convert existing resource || Take an existing linguistic resource and adapt it to be used in Apertium. For example, take a morphological analyser for Punjabi in Functional Morphology and convert it to [[lttoolbox]]. || [[User:Francis Tyers|Francis Tyers]] |
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|- |
|- |
||
| anakuz || grn, spa, por, rus |
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|align=center| {{sc|quality}} || 3. Easy || Quality evaluation || Perform a human post-edition evaluation of one of our non-evaluated pairs. This will involve taking some free text (e.g. from Wikipedia or Wikinews), running it through the translator and then altering the output to be correct. Then using apertium-eval-translator to calculate the Word Error Rate. || [[User:Francis Tyers|Francis Tyers]] |
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|- |
|- |
||
| fotonzade || eng, tur, aze, uig, tat, crh, kmr, ckb, fas |
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|align=center| {{sc|research}} || 3. Easy || Catalogue resources || Pick an under-resourced language (e.g. Chechen, Guaraní, Aromanian, Chuvash, Swazi, ...) and catalogue all the available resources (grammatical descriptions, wordlists, dictionaries, spellcheckers, corpora, etc.) for it along with the licences they are under. || [[User:Francis Tyers|Francis Tyers]] |
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|- |
|- |
||
| xavivars || cat, spa, eng, fra |
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|align=center| {{sc|quality}} || 1. Hard || Improve a language pair || Find some faults in an existing language pair and fix them. In particular minor→major pairs, e.g. Welsh-English, Basque-Spanish, Breton-French. || [[User:Francis Tyers|Francis Tyers]] |
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|- |
|- |
||
| Unhammer || nno, nob, swe, dan, fao, sme, ovd |
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|align=center| {{sc|translation}} || 2. Medium || Translate the HOWTO || Translate the [[new language pair HOWTO]] into another language, and go through it for a new pair of languages. When finished, upload to the [[Incubator]]. || [[User:Francis Tyers|Francis Tyers]] |
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|- |
|- |
||
| shardulc || eng, fra, mar, hin, urd, kan |
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|align=center| {{sc|documentation}} || 2 Medium || Document undocumented features || Find a feature that can't be found in the existing documentation (e.g. cascaded interchunk transfer), and write about it. || |
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|- |
|- |
||
| m-alpha || eng, fra, byv |
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|- |
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| popcorndude || eng, spa, cym, heb |
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|- |
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| sevilay || eng, ara, tur, kaz, aze, tat, gag, uig, uzb, crh, kum |
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|- |
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| eirien || sah, rus, eng |
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|- |
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| khannatanmai || eng, hin |
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|- |
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| flammie || fin, krl, olo, hun, nio, kpv, mdf, tlh, fra, swe, eng, est, ekk, vro |
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|- |
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| dolphingarlic || afr, deu, eng |
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|- |
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| wei2912 || eng, zho |
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|- |
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| marcriera|| cat, spa, eng, ron |
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|- |
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| padth4i|| eng, mal, hin |
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|- |
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| Oguz|| eng, tur, uig, aze, crh |
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|- |
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| mlforcada || eng, cat, eus, fra, por, glg, spa, gle, bre |
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|- |
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| ayushjain || eng, hin |
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|- |
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| jjjppp || eng, lat |
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|} |
|} |
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==Other== |
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== Counts == |
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Last updated by [[User:Firespeaker|Firespeaker]] ([[User talk:Firespeaker|talk]]) 07:30, 28 October 2019 (CET). |
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# '''Outreach''' Writing a quick guide on 'What Apertium can and cannot do to help you with your homework'. |
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# '''Quality Assurance''' Make some concrete improvements in a language pair. This might be disambiguation, transfer or vocabulary (in particular, minor-major language pairs would appreciate input: Welsh-English, Basque-Spanish, Breton-French). |
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{| class="sortable wikitable" |
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# '''Training''' Writing up a simple step-by-step guide (on the wiki) for pre-university students (of varying levels of computer literacy) to install a development version of Apertium and start doing development or polishing tasks like the ones above, to become a young Apertium developer. This may reuse or link existing material. |
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|- |
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# '''User interface''' Update [[apertium-tolk]] and [[apertium-dbus]] |
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! scope="col" | Category |
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! scope="col" | Count |
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|- |
|||
|{{sc|code}} |
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|align="right"|16 |
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|- |
|||
|{{sc|documentation}} |
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|align="right"|4 |
|||
|- |
|||
|{{sc|research}} |
|||
|align="right"|11 |
|||
|- |
|||
|{{sc|quality}} |
|||
|align="right"|8 |
|||
|- |
|||
|{{sc|design}} |
|||
|align="right"|2 |
|||
|- class="sortbottom" |
|||
!Total |
|||
|align="right"|33 |
|||
|} |
|||
[[Category:Google Code-in]] |
[[Category:Google Code-in]] |
Latest revision as of 06:23, 5 December 2019
Contents |
This is the task ideas page for Google Code-in, here you can find ideas on interesting tasks that will improve your knowledge of Apertium and help you get into the world of open-source development.
The people column lists people who you should get in contact with to request further information. All tasks are 2 hours maximum estimated amount of time that would be spent on the task by an experienced developer, however:
- this is the time expected to take by an experienced developer, you may find that you spend more time on the task because of the learning curve.
Categories:
- code: Tasks related to writing or refactoring code
- documentation: Tasks related to creating/editing documents and helping others learn more
- research: Tasks related to community management, outreach/marketting, or studying problems and recommending solutions
- quality: Tasks related to testing and ensuring code is of high quality.
- design: Tasks related to user experience research or user interface design and interaction
Clarification of "multiple task" types
- multi = number of students who can do a given task (GCI's "max instances")
- dup = number of times a student can do the same task
You can find descriptions of some of the mentors here.
Task ideas[edit]
The current task ideas here are for 2019. See Talk:Task ideas for Google Code-in for task ideas from previous years.
Mentors[edit]
These are languages that can be substituted for AAA and/or BBB for tasks each mentor is listed to mentor above.
If you do not see your language here, ask. We may be able to mentor or find you a mentor.
Mentor | Languages |
---|---|
ftyers | eng, spa, cat, fra, nor, rus, por, swe, tur, gag, aze |
JNW | eng, spa, fra, rus, tur, gag, aze, kaz, kir, kaa, tat, bak, kum, nog, kaa, uzb, uig, crh, khk, yid |
anakuz | grn, spa, por, rus |
fotonzade | eng, tur, aze, uig, tat, crh, kmr, ckb, fas |
xavivars | cat, spa, eng, fra |
Unhammer | nno, nob, swe, dan, fao, sme, ovd |
shardulc | eng, fra, mar, hin, urd, kan |
m-alpha | eng, fra, byv |
popcorndude | eng, spa, cym, heb |
sevilay | eng, ara, tur, kaz, aze, tat, gag, uig, uzb, crh, kum |
eirien | sah, rus, eng |
khannatanmai | eng, hin |
flammie | fin, krl, olo, hun, nio, kpv, mdf, tlh, fra, swe, eng, est, ekk, vro |
dolphingarlic | afr, deu, eng |
wei2912 | eng, zho |
marcriera | cat, spa, eng, ron |
padth4i | eng, mal, hin |
Oguz | eng, tur, uig, aze, crh |
mlforcada | eng, cat, eus, fra, por, glg, spa, gle, bre |
ayushjain | eng, hin |
jjjppp | eng, lat |
Counts[edit]
Last updated by Firespeaker (talk) 07:30, 28 October 2019 (CET).
Category | Count |
---|---|
code | 16 |
documentation | 4 |
research | 11 |
quality | 8 |
design | 2 |
Total | 33 |