Automatically Merging Lexicons that have Incompatible Part-of-Speech Categories

@inproceedings{Chan1999AutomaticallyML,
  title={Automatically Merging Lexicons that have Incompatible Part-of-Speech Categories},
  author={Daniel Ka-Leung Chan and Dekai Wu},
  booktitle={EMNLP},
  year={1999}
}
We present a new method to automatically merge lexicons that employ different incompatible POS categories. Such incompatibilities have hindered efforts to combine lexicons to maximize coverage with reasonable human effort. Given an "original lexicon", our method is able to merge lexemes from an "additional lexicon" into the original lexicon, converting lexemes from the additional lexicon with about 89% precision. This level of precision is achieved with the aid of a device we introduce called… CONTINUE READING