The Lexicon and MT: a position paper
نویسنده
چکیده
The recent trend towards developing the lexical component of NLP systems has focussed attention on two potentially valuable sources of lexical data: printed dictionaries for humans and large text corpora. This presentation considers the types of information that might be required by MT researchers and the extent to which this information can be derived from these two sources. This raises a number of questions, among which are the following. What type of information should be recorded in the lexicon? Dictionaries are quite comprehensive in their coverage of lexical items but how reliable are they? How can the information from a dictionary be represented in a form which is appropriate for NLP systems? Text corpora can provide a statistical basis for probabilistic models of language: what are the requirements with respect to size and composition of text corpora for deriving lexical data? Can the manual effort which is currently directed towards the compilation of printed dictionaries provide spin-off benefits for those who need lexical databases for MT? 1. What type of information should be recorded in the lexi-
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