User:Francis Tyers/An MT system in one thousand steps

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The idea of this page is to split the creation of a new language pair into bite-sized chunks that could be done in around two-hours or less by an experienced developer. One use of the page might be to organise work into tasks for the Google Code-in or to parallelise development between multiple people.

[edit] Research

  • Amass resources (1 task)
    • Find a grammar of language X and of language Y
    • Find a bilingual dictionary X-Y
    • Find bilingual dictionaries X-Z and Y-Z
    • Find 1-3 large monolingual corpora of language X and language Y
    • Find a parallel corpus of language X and language Y

[edit] Morphological analysers (~200 tasks)

For languages X and Y:

  • Add closed categories
    • Add adpositions and conjunctions (1 task)
    • Add determiners (1 task)
    • Add pronouns (1 task)
    • Add numerals (1 task)
      • At least 1-100 leaving out compositional numerals
  • Categorise and lemmatise words by frequency
    • Create frequency lists from your corpora
    • Categorise words (15 tasks) read more
    • Lemmatise words (15 tasks) read more
  • Add open categories by frequency
    • Add nouns (26 tasks) read more
    • Add proper nouns (16 tasks)
    • Add adjectives (15 tasks)
    • Add adverbs (3 tasks)
    • Add verbs (20 tasks)

For adding the open categories, we assume around 100 words per task.

[edit] Bilingual dictionary

  • Add closed categories (1 task)
  • Morphologically analyse and word align parallel corpus
    • Extract bilingual dictionary candidates
    • Proofread and add open category candidates by frequency
  • Take freely available dictionaries online
    • Convert to lttoolbox format
      • Add and check nouns (2 tasks)
      • Add and check verbs (2 tasks)
      • Add and check adjectives (2 tasks)
      • Add and check adverbs (2 tasks)
  • Add entries manually by frequency
    • Add nouns (10 tasks)
    • Add verbs (10 tasks)
    • Add adjectives (10 tasks)
    • Add adverbs (10 tasks)

[edit] Disambiguation

  • Make a list of most frequent ambiguities (both lemma ambiguities and POS ambiguities) (1 task)
  • Write disambiguation rules for most frequent POS+lemma ambiguities (15 tasks)
  • Write disambiguation rules for most frequent POS ambiguities (15 tasks)
  • Hand-annotate 500 words of running text (20 tasks) read more
  • Train statistical POS tagger (1 task)
  • Find bad POS disambiguation leading to bad translation (15 tasks)
  • Write rules to fix bad POS disambiguation (15 tasks)

[edit] Lexical selection

  • POS tag and word align parallel corpus (1 task)
  • Extract default translation rules (1 task)
  • Extract context rules (maximum entropy) (1 task)
  • Make a list of most frequent ambiguities (both lemma ambiguities and POS ambiguities) (1 task)
  • Write lexical selection rules for frequent ambiguities (10 tasks)

[edit] Transfer rules

  • Write a contrastive grammar

[edit] Testvoc

[edit] Evaluation

  • Translate 500 words of text, postedit and calculate WER (4 tasks)
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