User:Qfeng1/Final project

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Our project is to expand what we have accomplished in class, the monolingual transducer for the Chechen language. The main goal is to increase the coverage rate of the transducer over a large corpus (we have a large corpus extracted from Wikipedia with all pages in Chechen and therefore there is a wide range of vocabularies included).

Major Steps

  • To expand the morphology (in lexc and towl files)
  • To generate the top list of unknown words in corpus and add more word stems to lexc file

Code at GitHub

Corpus For Evaluation

  • Wikipedia Corpus: It is the large corpus that we run coverage test on.
  • Hand Annotated Corpus: This corpus is what we run precisionRecall test on. It consists example sentences that have been glossed in the grammar book we use for this project as main consulting resource.


# of stems in transducer # of words in Wiki corpus Coverage Rate Precision Recall
608 14,093,835 ~80.10% ~75.34% ~56.97%

Further Improvement

  • more verb morphology needs to be added:
  • proverb
  • deictic
  • agreement on noun class (when happen and when do not)