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Cognitive and Probabilistic Approaches to Computational Linguistics
What are We Modelling?
Probabilistic Approaches to Computational Linguistics
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achieved adjective analysis anglicised application approach argument artificial intelligence associated atom attribute augmented transition network BCM hypothesis BCM thesis Brown corpus chapter CLAWS cognitive communication computational linguistics conflict set corpus database developed diagram error example frame function given grammar Grice Halle's model hearer Hence heuristics Hierophant holistic human computer interaction information content information theory input instance instantiated knowledge base knowledge representation lexicography lexicon machine Markov model Markov process memory modular programming modularity module morpheme morphology natural language interface natural language processing node noun noun-phrase object occurring operation output parameter list parse parser person phase Pi(j plural polysemy possible predicate presented probabilistic probability problem produced PROLOG query recursive relevant sentence sequence simple speaker specified speech speech processing stored super slot symbol syntactic tagset techniques transition network triple tuples UCREL utterance variable verb WORDTAG