Difference between revisions of "Task ideas for Google Code-in/Add transfer rule"

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#* and/or get [http://wiki.apertium.org/wiki/Apertium_VirtualBox Apertium VirtualBox] and update, check out & compile the language pair.
 
#* and/or get [http://wiki.apertium.org/wiki/Apertium_VirtualBox Apertium VirtualBox] and update, check out & compile the language pair.
 
# Using a large enough corpus of the source language (e.g. plain text taken from Wikipedia), detect one structural transfer rule (.t1x, .t2x, .t3x) that is wrong or missing (local agreement, gender, number, etc. is inadequate, local word order in a phrase is inadequate, there is a word too much or a word missing, etc.).
 
# Using a large enough corpus of the source language (e.g. plain text taken from Wikipedia), detect one structural transfer rule (.t1x, .t2x, .t3x) that is wrong or missing (local agreement, gender, number, etc. is inadequate, local word order in a phrase is inadequate, there is a word too much or a word missing, etc.).
  +
#* In other words, run a bunch of text in L₂ through the pair and find a consistent error in the output text in L₁ that isn't grammatical.
 
# Write a new rule or correct an existing rule.
 
# Write a new rule or correct an existing rule.
 
# Compile and test again.
 
# Compile and test again.
# Submit a patch to your mentor (or commit it if you have already gained developer access).
+
# Submit a pull request on github and submit the url of the PR to your mentor.
   
 
[[Category:Tasks for Google Code-in|Add transfer rule]]
 
[[Category:Tasks for Google Code-in|Add transfer rule]]

Revision as of 02:14, 21 October 2018

  1. select a language pair, ideally such that the source language is a language you know (L₂) and the target language a language you use every day (L₁).
  2. Install Apertium locally; install the language pair; make sure that it works.
  3. Using a large enough corpus of the source language (e.g. plain text taken from Wikipedia), detect one structural transfer rule (.t1x, .t2x, .t3x) that is wrong or missing (local agreement, gender, number, etc. is inadequate, local word order in a phrase is inadequate, there is a word too much or a word missing, etc.).
    • In other words, run a bunch of text in L₂ through the pair and find a consistent error in the output text in L₁ that isn't grammatical.
  4. Write a new rule or correct an existing rule.
  5. Compile and test again.
  6. Submit a pull request on github and submit the url of the PR to your mentor.