Task ideas for Google Code-in

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:

1. 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
• dup = number of times a student can do the same task

You can find descriptions of some of the mentors here.

Task ideas

The current task ideas here are for 2019. See Talk:Task ideas for Google Code-in for task ideas from previous years.

type	title	description	tags	mentors	bgnr?	multi?	duplicates
research, quality, documentation	Adopt a Wiki page	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.	wiki	*	yes	150
research, quality, documentation	Test instructions on Apertium wiki	Find a page on the Apertium wiki that documents how to do something (hint: check the 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.	wiki	*	yes	150
research, code	expand coverage of Kyrgyz to English structural transfer	Find a sentence in Kyrgyz that once the lexical items are added to the bilingual dictionary is not fully (or correctly) parsed by the kir-eng-transfer Apertium mode. Determine what rule(s) need(s) to be added (or fixed) to cover this structure, and update apertium-eng-kir.kir-eng.rtx accordingly. You will first want to clone and compile apertium-eng-kir.	Kyrgyz, English, recursive transfer, pairs	JNW, popcorndude		150	10
code	Add recursive transfer support to a language pair that doesn't support it	Make a branch of an Apertium language pair that doesn't support recursive transfer and call it "recursive transfer". Add vanilla .rtx files for both directions, and modify Makefile.am and modes.xml so that the branch compiles and runs. See this page for instructions on how to do this.	recursive transfer, pairs	JNW, popcorndude	yes	150	10
code	Add 2 recursive transfer rules to a language pair	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 (more documentation here). If the language pair does not support recursive transfer, make sure 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.	recursive transfer, pairs	JNW, popcorndude		150	20
code	Use apertium-init to bootstrap a new language pair	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 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.	languages, bootstrap, dictionaries, translators	JNW, wei2912, padth4i	yes	25
code	Use apertium-init to bootstrap a new language module	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 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. Read more about adding stems...	languages, bootstrap, dictionaries	JNW, wei2912, padth4i	yes	25
code	Write 10 lexical selection for an existing translation pair	Add 10 lexical selection rules to an existing translation pair. Submit your work as a github pull request to that pair. Read more...	languages, bootstrap, lexical selection, translators	JNW, sevilay, Unhammer, marcriera, padth4i, Oguz		25	5
code	Write 10 constraint grammar rules for an existing language module	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. Read more...	languages, bootstrap, constraint grammar	JNW, Unhammer, padth4i, Oguz		25	5
research	Syntactic annotation of text	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.	UD, trees, annotation	anakuz, fotonzade, khannatanmai
research	Create a UD-Apertium morphology mapping	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 UD's POS and feature tags for the labels.	morphology, ud, dependencies	JNW,ftyers, fotonzade, khannatanmai, anakuz, Oguz		5
research	Create an Apertium-UD morphology mapping	Choose a language that has an Apertium morphological analyser and adapt it to convert the morphology to UD morphology	morphology, ud, dependencies	JNW, ftyers, fotonzade, khannatanmai, anakuz		5
quality	Install Apertium and verify that it works	See Installation for instructions and if you encounter any issues along the way, document them and/or improve the wiki instructions!	bash	ftyers, JNW, Unhammer, anakuz, Josh, fotonzade, sevilay, eirien, wei2912, padth4i	yes	150
research	Write a contrastive grammar	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.	wiki, languages	mlforcada, JNW, Josh, xavivars, fotonzade, sevilay, khannatanmai, dolphingarlic, padth4i	yes	40
quality	Identify and add 100 new entries to the bilingual dictionary for the %AAA%-%BBB% language pair	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. More instructions for this task here...	xml, dictionaries	mlforcada, anakuz, xavivars, fotonzade, sevilay, Unhammer, eirien, dolphingarlic, wei2912, marcriera, padth4i, Oguz, JNW	yes	40
quality	Identify and add 250 new entries to the bilingual dictionary for the %AAA%-%BBB% language pair	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. More instructions for this task here...	xml, dictionaries	mlforcada, anakuz, xavivars, fotonzade, ftyers, sevilay, eirien, dolphingarlic, wei2912, marcriera, padth4i, Oguz, JNW	no		20
quality	Post-edit 500 sentences of any public domain text from %AAA% to %BBB%	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.	xml, dictionaries	fotonzade, JNW, ftyers, anakuz, xavivars, mlforcada, shardulc, sevilay, Unhammer, khannatanmai, dolphingarlic, wei2912, marcriera	yes	10
quality	Disambiguate 500 tokens of text in %AAA%	Run some text through a morphological analyser and disambiguate the output. Discuss with the mentor beforehand to approve the choice of language and text. Read more...	disambiguation	mlforcada, anakuz, xavivars, fotonzade, sevilay, khannatanmai, dolphingarlic, wei2912, marcriera, padth4i		yes
research	Categorise 100 words from frequency list in %AAA%	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. Read more...	dictionaries	eirien, khannatanmai, anakuz, marcriera, padth4i	yes	yes
research	Categorise 500 words from frequency list in %AAA%	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. Read more...	dictionaries	eirien, anakuz, sevilay, marcriera		yes
research	Evaluate an existing apertium pair %AAA% to %BBB% on a text	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 (?) Read more...	evaluation	khannatanmai, sevilay, padth4i
code, research	Add apertium-anaphora support to a new language pair	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 documentation of the apertium-anaphora module for help.	apertium-anaphora, transfer	khannatanmai
code, research	Add one markable to the arx file for a language pair	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 documentation of the apertium-anaphora module for help.	apertium-anaphora, anaphora resolution	khannatanmai
code	Write a TextMate grammar for CG-3 syntax highlighting	We want CG-3 files to be syntax highlighted in Github. They use TextMate-compatible grammars. See issue 48 in the CG-3 repo.	cg, editors, tools	Unhammer
code	Make Apertium IRC bot's messaging system case-insensitive	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 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.	python, irc	JNW	yes
code	Make Apertium's IRC bot's updating of Apertium's wiki format numbers better	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 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.	python, irc, wiki	JNW	yes
code	Create a new init script for Apertium's IRC bot	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 github issue describing this task.	python, debian, init, irc	JNW
documentation	Add comments to a dictionary defining the symbols used in it	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.	dictionaries	JNW, flammie			10
documentation	find symbols that aren't on the list of symbols page	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.	wiki,dictionaries	JNW
documentation	document usage of the apertium-separable module	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 this wiki page	C++, transducers, lsx	JNW, khannatanmai
quality	Beta-test the apertium-separable module	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 future work. Document your tested language pair by listing it under Lsx_module#Beta_testing and in this wiki page	C++, transducers, lsx	JNW, ftyers, wei2912, khannatanmai		yes	yes
code, quality	script to test coverage of analyser over corresponding wikipedia corpus	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.	python, ruby, wikipedia	JNW, wei2912
code, design	Make source browser headings sticky at bottom of window	Make headings that are out of view (either below when at the top, or above when scrolled down) sticky on Apertium source browser, so that it's clear what other headings exist. There is a github issue for this.	css, javascript, html, web	sushain, JNW, xavivars	no
code, design	Integrate globe viewer into language family visualiser interface	The family visualiser interface has four info boxes when a language is clicked on, and one of those boxes is empty. The 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 associated GitHub issue.	d3, javascript	JNW, jjjppp, sushain	no	no
design	Design a logo for UD Annotatrix	UD Annotatrix needs a better logo, or set of logos. Have a look at the current logos and 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.	UD, design, svg	JNW, ftyers	no	yes

Mentors

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
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

Counts

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