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, or updating documentation to reflect the current options and defaults of various tools.	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.	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	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	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		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		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		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	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	Mikel, JNW, Josh, xavivars, fotonzade, sevilay, khannatanmai	yes	40
quality	Add 200 new entries to the bilingual dictionary of language pair %AAA%-%BBB%	Our translation systems require large lexicons so as to provide production-quality coverage of any input data. This task requires the student to add 200 new words to a bidirectional dictionary. Read more...	xml, dictionaries, svn	Mikel, anakuz, xavivars, fotonzade, sevilay, Unhammer, eirien	yes	40
quality	Add 500 new entries to the bilingual dictionary of language pair %AAA%-%BBB%	Our translation systems require large lexicons so as to provide production-quality coverage of any input data. This task requires the student to add 500 new words to a bidirectional dictionary. Read more...	xml, dictionaries, svn	Mikel, anakuz, xavivars, fotonzade, ftyers, sevilay, eirien	no		10
quality	Post-edit 100 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 pair in dev/ or texts/ folder. The texts are subject to mentor approval.	xml, dictionaries, svn	fotonzade, JNW, ftyers, anakuz, xavivars, Mikel, shardulc, sevilay, Unhammer, khannatanmai	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, svn	Mikel, anakuz, xavivars, fotonzade, sevilay, khannatanmai		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	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		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
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". Assume that the anaphora algorithm adds the correct antecedent to side ref of an anaphor, and modify t1x to change the anaphor based on its antecedent. Modify transfer input manually and verify that it runs. 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

Mentors

These are languages that can be substituted for AAA and/or BBB for tasks each mentor is listed to mentor above.

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	tur, kaz, aze, tat, gag, eng
eirien	sah, rus, eng
khannatanmai	eng, hin
flammie	fin, krl, olo, hun, nio, kpv, mdf, tlh, fra, swe, eng, est, ekk, vro

Counts

Last updated by Eirien (talk) 22:29, 24 October 2019 (UTC+3).

Category	Count
code	35
documentation	5
research	11
quality	10
design	5
Total	66