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

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|align=center| {{sc|quality}} || 1. Easy || Improve English-Esperanto || Add 50 words you feel are missing in translations from [[apertium-eo-en|English to Esperanto]]. || 3—6 || [[User:Jacob Nordfalk|Jacob Nordfalk]]
 
|align=center| {{sc|quality}} || 1. Easy || Improve English-Esperanto || Add 50 words you feel are missing in translations from [[apertium-eo-en|English to Esperanto]]. || 3—6 || [[User:Jacob Nordfalk|Jacob Nordfalk]]
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|align=center| {{sc|quality}} || 1. Easy || Improve Spanish-Esperanto || Add 50 words you feel are missing in translations from [[apertium-eo-es|Spanish to Esperanto]]. || 3—6 || [[User:Hectoralos|Hectoralos]]
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|align=center| {{sc|quality}} || 1. Easy || Improve Catalan-Esperanto || Add 50 words you feel are missing in translations from [[apertium-eo-ca|Catalan to Esperanto]]. || 3—6 || [[User:Hectoralos|Hectoralos]]
 
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Revision as of 19:46, 29 October 2010

This is the task ideas page for Google Code-in (http://code.google.com/gci), 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. The time column gives the minimum estimated amount of time that should be spent on the task. It does not include time taken to install / set up apertium.

Task list

Area Difficulty Title Description Time
(hours)
People
code 2. Medium Cross a language pair: Occitan-French Using apertium-crossdics, build a dictionary for Occitan-French from Occitan-Catalan and Catalan-French, and clean up the result. 8—12 Mireia Ginestí
code 2. Medium Cross a language pair: Aragonese-Catalan Using apertium-crossdics, build a dictionary for Aragonese-Catalan from Aragonese-Spanish and Spanish-Catalan, and clean up the result. 8—12 Jimregan
code 2. Medium Cross a language pair: Romanian-French Using apertium-crossdics, build a dictionary for Romanian-French from Romanian-Spanish and Spanish-French, and clean up the result. 8—12 Gramirez
code 2. Medium Cross a language pair: Romanian-Italian Using apertium-crossdics, build a dictionary for Romanian-Italian from Romanian-Spanish and Spanish-Italian, and clean up the result. 8—12 Gramirez
code 1. Hard Convert existing resource: Urdu morphological analyser Take Muhammad Humayoun's Urdu Morphology and convert to lttoolbox format. 8—10 Francis Tyers
code 1. Hard Convert existing resource: Punjabi morphological analyser Take Muhammad Humayoun's Punjabi Morphology and convert to lttoolbox format. 8—10 Francis Tyers
code 1. Hard Convert existing resource: Kurdish morphological analyser Take the Alexina Kurdish Morphology and convert to lttoolbox format. 8—10 Francis Tyers
code 3. Easy Convert existing resource: Reta Vortaro Belarusian-Esperanto Take the Belarusian-Esperanto lexicon and convert to lttoolbox format. 2—4 Jimregan
code 3. Easy Convert existing resource: Reta Vortaro Breton-Esperanto Take the Breton-Esperanto lexicon and convert to lttoolbox format. 2—4 Jacob_Nordfalk
code 3. Easy Convert existing resource: Reta Vortaro Bulgarian-Esperanto Take the Bulgarian-Esperanto lexicon and convert to lttoolbox format. 2—4 Hectoralos
code 3. Easy Convert existing resource: Reta Vortaro Czech-Esperanto Take the Czech-Esperanto lexicon and convert to lttoolbox format. 2—4 Jimregan
code 3. Easy Convert existing resource: Reta Vortaro Finnish-Esperanto Take the Finnish-Esperanto lexicon and convert to lttoolbox format. 2—4 Hectoralos
code 3. Easy Convert existing resource: Reta Vortaro German-Esperanto Take the German-Esperanto lexicon and convert to lttoolbox format. 2—4 Hectoralos
code 3. Easy Convert existing resource: Reta Vortaro Greek-Esperanto Take the Greek-Esperanto lexicon and convert to lttoolbox format. 2—4 Jacob_Nordfalk
code 3. Easy Convert existing resource: Reta Vortaro Hebrew-Esperanto Take the Hebrew-Esperanto lexicon and convert to lttoolbox format. 2—4 Jacob_Nordfalk
code 3. Easy Convert existing resource: Reta Vortaro Hungarian-Esperanto Take the Hungarian-Esperanto lexicon and convert to lttoolbox format. 2—4 Jacob_Nordfalk
code 3. Easy Convert existing resource: Reta Vortaro Italian-Esperanto Take the Italian-Esperanto lexicon and convert to lttoolbox format. 2—4 Hectoralos
code 3. Easy Convert existing resource: Reta Vortaro Dutch-Esperanto Take the Dutch-Esperanto lexicon and convert to lttoolbox format. 2—4 Hectoralos
code 3. Easy Convert existing resource: Reta Vortaro Persian-Esperanto Take the Persian-Esperanto lexicon and convert to lttoolbox format. 2—4 Hectoralos
code 3. Easy Convert existing resource: Reta Vortaro Polish-Esperanto Take the Polish-Esperanto lexicon and convert to lttoolbox format. 2—4 Jimregan
code 3. Easy Convert existing resource: Reta Vortaro Portuguese-Esperanto Take the Portuguese-Esperanto lexicon and convert to lttoolbox format. 2—4 Hectoralos
code 3. Easy Convert existing resource: Reta Vortaro Russian-Esperanto Take the Russian-Esperanto lexicon and convert to lttoolbox format. 2—4 Jimregan
code 3. Easy Convert existing resource: Reta Vortaro Slovakian-Esperanto Take the Slovakian-Esperanto lexicon and convert to lttoolbox format. 2—4 Jimregan
code 3. Easy Convert existing resource: Reta Vortaro Swedish-Esperanto Take the Swedish-Esperanto lexicon and convert to lttoolbox format. 2—4 Jacob_Nordfalk
code 3. Easy Convert existing resource: Reta Vortaro Turkish-Esperanto Take the Turkish-Esperanto lexicon and convert to lttoolbox format. 2—4 Jimregan
code 2. Medium Convert Apertium resources: nn-nb for Freedict Apertium's lexicons would make an excellent start for bilingual dictionaries. FreeDict currently has no Nynorsk-Bokmal dictionary. 2—4 Piotr Bański
code 2. Medium Convert Apertium resources: es-ca for Freedict Apertium's lexicons would make an excellent start for bilingual dictionaries. FreeDict currently has no Spanish-Catalan dictionary. 2—4 Piotr Bański
code 2. Medium Convert Apertium resources: is-en for Freedict Apertium's lexicons would make an excellent start for bilingual dictionaries. FreeDict currently has no Icelandic-English dictionary. 2—4 Piotr Bański
code 2. Medium Convert Apertium resources: es-ast for Freedict Apertium's lexicons would make an excellent start for bilingual dictionaries. FreeDict currently has no Asturian-Spanish dictionary. 2—4 Piotr Bański
code 2. Medium Convert Apertium resources: oc-ca for Freedict Apertium's lexicons would make an excellent start for bilingual dictionaries. FreeDict currently has no Occitan-Catalan dictionary. 2—4 Piotr Bański
code 2. Medium Convert Apertium resources: mk-bg for Freedict Apertium's lexicons would make an excellent start for bilingual dictionaries. FreeDict currently has no Macedonian-Bulgarian dictionary. 2—4 Piotr Bański
code 2. Medium Convert Apertium resources: mk-en for Freedict Apertium's lexicons would make an excellent start for bilingual dictionaries. FreeDict currently has no Macedonian-English dictionary. 2—4 Piotr Bański
code 2. Medium Convert Apertium resources: nn-nb for Freedict Apertium's lexicons would make an excellent start for bilingual dictionaries. FreeDict currently has no Nynorsk-Bokmal dictionary. 2—4 Piotr Bański
code 3. Easy Convert existing resource: English-Slovakian dictionary Take MSAS/MASS and convert to lttoolbox format. 1—4 Zdenko Podobný
code 2. Medium Convert existing resource: Slovakian morphological analyser Take the morphological analyser distributed with LanguageTool and convert to lttoolbox format. 1—4 Zdenko Podobný
code 2. Medium Convert existing resource: Polish-Slovakian transfer rules Much of the existing rules in Apertium's pl-cs system originated in pl-sk. Take the new rules in pl-cs and apply them to pl-sk. No knowledge of Polish, Slovakian, or Czech is required, though it will help 1—4 Zdenko Podobný
outreach 3. Easy Apertium on Macedonian Wikipedia Bulgarian WP has 107,355 articles, Macedonian WP has 42,112, less than half as many. Translate some articles from Bulgarian Wikipedia to Macedonian Wikipedia using Apertium, and then postedit them. Explain to the local Wikipedia community what you are doing beforehand. 1—4 Francis Tyers
outreach 3. Easy Apertium on Occitan Wikipedia Catalan WP has 290,059 articles, Occitan WP has 22,579, less than a tenth as many. Translate some articles from Catalan Wikipedia to Occitan Wikipedia using Apertium, and then postedit them. Explain to the local Wikipedia community what you are doing beforehand. 1—4 Francis Tyers
outreach 3. Easy Apertium on Asturian Wikipedia Spanish WP has 663,567 articles, Asturian WP has 13,869, almost a fiftieth as few. Translate some articles from Spanish Wikipedia to Asturian Wikipedia using Apertium, and then postedit them. Explain to the local Wikipedia community what you are doing beforehand. 1—4 Francis Tyers
quality 3. Easy Thorough checkup of bn-en morphological analyser While the current bn-en morphological analyser has a pretty good coverage, it should have been higher. Part of the reason is that a lot of verbs have one/two slight different surface forms that differ from the regular ones and the analyser misses them. Using lt-expand it's possible to generate all forms of the verbs, then manually check these and using another script (already in the pair) rebuild the analyser file. This checking will require a native speaker/expert on Bengali language 2—4 Abu Zaher
code 2. Medium NSIS script Write an NSIS script to install the Cygwin version of Apertium on Windows. 2—6 Jimregan
code 2. Medium Dixtools: TEI export Take the code from Dix2CC.java or Dix2Tiny.java and adapt to export TEI P5 format dictionaries, suitable for FreeDict. This project is suitable for someone interested in learning Java. 2—4 Jimregan
research 2. Medium Contrastive analysis: Macedonian and Albanian Create a set of test sentences (see various pages of 'Pending tests' and 'Regression tests' on the Wiki) for translation between Macedonian and Albanian. The tests should cover as many features of the languages as possible. Some of the examples might be able to be found in a grammar, others might need to be invented. This will not involve programming, only grammatical analysis. 4—6 Francis Tyers
research 2. Medium Contrastive analysis: Kurdish and Persian Create a set of test sentences (see various pages of 'Pending tests' and 'Regression tests' on the Wiki) for translation between Kurdish and Persian. The tests should cover as many features of the languages as possible. Some of the examples might be able to be found in a grammar, others might need to be invented. This will not involve programming, only grammatical analysis. 4—6 Francis Tyers
research 2. Medium Contrastive analysis: Hindi and Urdu Create a set of test sentences (see various pages of 'Pending tests' and 'Regression tests' on the Wiki) for translation between Hindu and Urdu. The tests should cover as many features of the languages as possible. Some of the examples might be able to be found in a grammar, others might need to be invented. This will not involve programming, only grammatical analysis. 4—6 Francis Tyers
research 2. Medium Contrastive analysis: Finnish and Estonian Create a set of test sentences (see various pages of 'Pending tests' and 'Regression tests' on the Wiki) for translation between Finnish and Estonian. The tests should cover as many features of the languages as possible. Some of the examples might be able to be found in a grammar, others might need to be invented. This will not involve programming, only grammatical analysis. 4—6 Francis Tyers
research 2. Medium Contrastive analysis: Spanish and Italian Create a set of test sentences (see various pages of 'Pending tests' and 'Regression tests' on the Wiki) for translation between Spanish and Italian. The tests should cover as many features of the languages as possible. Some of the examples might be able to be found in a grammar, others might need to be invented. This will not involve programming, only grammatical analysis. 4—6 Gramirez
research 2. Medium Contrastive analysis: Catalan and Sardinian Create a set of test sentences (see various pages of 'Pending tests' and 'Regression tests' on the Wiki) for translation between Catalan and Sardinian. The tests should cover as many features of the languages as possible. Some of the examples might be able to be found in a grammar, others might need to be invented. This will not involve programming, only grammatical analysis. 4—6 Francis Tyers
research 2. Medium Contrastive analysis: Italian and Sardinian Create a set of test sentences (see various pages of 'Pending tests' and 'Regression tests' on the Wiki) for translation between Italian and Sardinian. The tests should cover as many features of the languages as possible. Some of the examples might be able to be found in a grammar, others might need to be invented. This will not involve programming, only grammatical analysis. 4—6 Deadbeef
research 3. Easy Catalogue resources: Aromanian Catalogue all the available resources (grammatical descriptions, wordlists, dictionaries, spellcheckers, papers, corpora, etc.) for Aromanian, along with the licences they are under. Francis Tyers
translation 2. Medium Translate the HOWTO: Polish Translate the new language pair HOWTO into Polish. 5—8 Jimregan
translation 2. Medium Translate the HOWTO: Slovakian Translate the new language pair HOWTO into Slovakian. 5—8 Jimregan
translation 2. Medium Translate the HOWTO: Italian Translate the new language pair HOWTO into Italian. 5—8 Deadbeef
translation 2. Medium Translate the HOWTO: Norwegian Translate the new language pair HOWTO into Nynorsk. 5—8 Unhammer
translation 2. Medium Translate the HOWTO: Norwegian Translate the new language pair HOWTO into Bokmål. 5—8 Unhammer
quality 3. Easy Quality evaluation: Spanish and French Perform a human post-edition evaluation of the Spanish and French language pair. 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. The minimum amount of text should be 2,000 words. 4—8 Francis Tyers
quality 3. Easy Quality evaluation: Spanish and Occitan Perform a human post-edition evaluation of the Spanish and Occitan language pair. 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. The minimum amount of text should be 2,000 words. 4—8 Mireia Ginestí
quality 3. Easy Quality evaluation: Spanish and Asturian Perform a human post-edition evaluation of the Spanish and Asturian language pair. 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. The minimum amount of text should be 2,000 words. 4—8 Francis Tyers
user interface 1. Hard Design a user-friendly interface for Apertium Apertium does not currently have a friendly user interface for translators. Look at other translation software on the market, and sketch out some ideas for how to design a user interface. This will not require programming, but could, for example involve using Glade to demonstrate the ideas. Jimregan
training 3. Easy Step-by-step "become a developer" guide Write 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 make a single change in a language pair. This should include everything, from checking out with SVN to requesting committer access on SourceForge. Document everything you do! 2—3 Mikel L. Forcada
training 3. Easy Step-by-step "constraint grammar" guide Write a simple step-by-step guide (on the wiki) for pre-university students (of varying levels of computer literacy) to install Constraint Grammar and fix 5 disambiguation problems in a single sentence, then committing to the incubator. This should include everything, from checking out with SVN to requesting committer access on SourceForge. Document everything you do! 2—3 Unhammer
quality 3. Easy Release freshness Go through all the 25 released pairs and note down their date of last release and how many dictionary entries and rules they have. Then go to SVN and look at the module for the released pair and find out how many dictionary entries and rules it has. Put this into a spreadsheet and email the mailing list. Why? Our release cycle is very slow, and often we get pairs in trunk which have substantial improvements but have not been released. 2—4 Francis Tyers
outreach 3. Easy Translate the Wikipedia article on Apertium: Macedonian Translate the article on Apertium into Macedonian for the Macedonian Wikipedia 30m-1h Francis Tyers
outreach 3. Easy Translate the Wikipedia article on Apertium: Aragonese Translate the article on Apertium into Aragonese for the Aragonese Wikipedia 30m-1h Jimregan
documentation 3. Easy Create a dictionary crossing guide Create a full guide to crossing dictionaries, using notes that will be provided. 2—3 Jimregan
outreach 3. Easy Writing a quick guide on 'What Apertium can and cannot do to help you with your homework'. Students around the world use Apertium (and other MT systems) to do their second-language homework. The documents would summarize the do's and don'ts, and could even elaborate on how students using Apertium for their homework could discover ways in which Apertium could be improved. 2—3 Mikel L. Forcada
documentation 3. Easy Document undocumented features: manpages Work through each of the manpages in apertium and lttoolbox, checking that each of the options listed by --help is documented. 2—4 Jimregan
research 3. Easy Create manually tagged corpora: Occitan Fix tagging errors in a piece of analysed text, for use in tagger training. This will involve taking some free text (such as from Wikipedia), running it through the analyser and tagger, and replacing incorrect analyses with the correct one. 2—4 Mireia Ginestí
research 3. Easy Create manually tagged corpora: Italian Fix tagging errors in a piece of analysed text, for use in tagger training. This will involve taking some free text (such as from Wikipedia), running it through the analyser and tagger, and replacing incorrect analyses with the correct one. 2—4 Mireia Ginestí
research 3. Easy Create manually tagged corpora: Catalan Fix tagging errors in a piece of analysed text, for use in tagger training. This will involve taking the corpus in the es-ca package, and adapting it in terms of the multiwords present in en-ca, but absent in es-ca. 2—4 Mireia Ginestí
research 3. Easy Create manually tagged corpora: Polish Fix tagging errors in a piece of analysed text, for use in tagger training. This will involve taking some free text (such as from Wikipedia), running it through the analyser and tagger, and replacing incorrect analyses with the correct one. It may be preferable to use LanguageTool's tagger. 2—4 Jimregan
research 3. Easy Create manually tagged corpora: Czech Fix tagging errors in a piece of analysed text, for use in tagger training. This will involve taking some free text (such as from Wikipedia), running it through the analyser and tagger, and replacing incorrect analyses with the correct one. It may be preferable to use LanguageTool's tagger. 2—4 Jimregan
research 3. Easy Create manually tagged corpora: Slovakian Fix tagging errors in a piece of analysed text, for use in tagger training. This will involve taking some free text (such as from Wikipedia), running it through the analyser and tagger, and replacing incorrect analyses with the correct one. It may be preferable to use LanguageTool's tagger. 2—4 Jimregan
research 3. Easy Create manually tagged corpora: Russian Fix tagging errors in a piece of analysed text, for use in tagger training. This will involve taking some free text (such as from Wikipedia), running it through the analyser and tagger, and replacing incorrect analyses with the correct one. It may be preferable to use LanguageTool's tagger. 2—4 Jimregan
research 3. Easy Create manually tagged corpora: Ukrainian Fix tagging errors in a piece of analysed text, for use in tagger training. This will involve taking some free text (such as from Wikipedia), running it through the analyser and tagger, and replacing incorrect analyses with the correct one. It may be preferable to use LanguageTool's tagger. 2—4 Jimregan
quality 1. Hard Improve a language pair: Welsh-English Find some faults in Welsh-English and fix them. 8—12 Francis Tyers
quality 1. Hard Improve a language pair: Breton-French Find some faults in Breton-French and fix them. 8—12 Francis Tyers
quality 1. Hard Improve a language pair: Basque-Spanish Find some faults in Basque-Spanish and fix them. 8—12 Mireia Ginestí
documentation 2. Medium Document undocumented features: cascaded interchunk Update the Apertium manual to document cascaded interchunk. 4—8 Mikel L. Forcada
documentation 2. Medium Document undocumented features: transliteration Update the Apertium manual to document the transliteration features in lttoolbox. 4—8 Francis Tyers
quality 1. Hard Fix some tagger errors in Swedish->Danish apertium-sv-da could be improved with a Constraint Grammar. Find 10 sentences that get wrong translations due to tagging, and write CG rules to fix them. The student should have good knowledge of Swedish, or at least some Scandinavian language. 8—12 Unhammer
quality 1. Easy Improve Swedish-Danish Add 50 nouns you feel are missing in translations from Swedish to Danish. 3—6 Jacob Nordfalk
quality 1. Easy Improve English-Esperanto Add 50 words you feel are missing in translations from English to Esperanto. 3—6 Jacob Nordfalk
quality 1. Easy Improve Spanish-Esperanto Add 50 words you feel are missing in translations from Spanish to Esperanto. 3—6 Hectoralos
quality 1. Easy Improve Catalan-Esperanto Add 50 words you feel are missing in translations from Catalan to Esperanto. 3—6 Hectoralos