Difference between revisions of "Task ideas for Google Code-in"

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{{Taskidea
{{Taskidea
|type=research
|type=research
|mentors=anakuz, fotonzade, khannatanmai
|mentors=anakuz, fotonzade
|title=Syntactic annotation of text
|title=Syntactic annotation of text
|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.
|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.
Line 131: Line 131:
{{Taskidea
{{Taskidea
|type=research
|type=research
|mentors=JNW,ftyers, fotonzade, khannatanmai, anakuz, Oguz
|mentors=JNW,ftyers, fotonzade, anakuz, Oguz
|title=Create a UD-Apertium morphology mapping
|title=Create a UD-Apertium morphology mapping
|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.
|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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{{Taskidea
{{Taskidea
|type=research
|type=research
|mentors=JNW, ftyers, fotonzade, khannatanmai, anakuz
|mentors=JNW, ftyers, fotonzade, anakuz
|title=Create an Apertium-UD morphology mapping
|title=Create an Apertium-UD morphology mapping
|description=Choose a language that has an Apertium morphological analyser and adapt it to convert the morphology to UD morphology
|description=Choose a language that has an Apertium morphological analyser and adapt it to convert the morphology to UD morphology
Line 191: Line 191:
{{Taskidea
{{Taskidea
|type=quality
|type=quality
|mentors=fotonzade, JNW, ftyers, anakuz, xavivars, mlforcada, shardulc, sevilay, Unhammer, khannatanmai, dolphingarlic, wei2912, marcriera
|mentors=fotonzade, JNW, ftyers, anakuz, xavivars, mlforcada, shardulc, sevilay, Unhammer, dolphingarlic, wei2912, marcriera
|tags=xml, dictionaries
|tags=xml, dictionaries
|title=Post-edit 500 sentences of any public domain text from %AAA% to %BBB%
|title=Post-edit 500 sentences of any public domain text from %AAA% to %BBB%
Line 201: Line 201:
{{Taskidea
{{Taskidea
|type=quality
|type=quality
|mentors=mlforcada, anakuz, xavivars, fotonzade, sevilay, khannatanmai, dolphingarlic, wei2912, marcriera, padth4i
|mentors=mlforcada, anakuz, xavivars, fotonzade, sevilay, dolphingarlic, wei2912, marcriera, padth4i
|tags=disambiguation
|tags=disambiguation
|title=Disambiguate 500 tokens of text in %AAA%
|title=Disambiguate 500 tokens of text in %AAA%
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{{Taskidea
{{Taskidea
|type=research
|type=research
|mentors=eirien, khannatanmai, anakuz, marcriera, padth4i
|mentors=eirien, anakuz, marcriera, padth4i
|tags=dictionaries
|tags=dictionaries
|title=Categorise 100 words from frequency list in %AAA%
|title=Categorise 100 words from frequency list in %AAA%

Revision as of 22:09, 24 November 2019

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.

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
ayushjain eng, hin
jjjppp eng, lat

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