Word association norms, mutual information, and lexicography
Computational Linguistics
Accurate methods for the statistics of surprise and coincidence
Computational Linguistics - Special issue on using large corpora: I
A freely available morphological analyzer, disambiguator and context sensitive lemmatizer for German
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
Automatic identification of word translations from unrelated English and German corpora
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
ACM SIGIR Forum
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It is shown that the behaviour of test persons as observed in association experiments can be simulated statistically on the basis of the common occurrences of words in large text corpora, thereby applying the law of association by contiguity which is well known from psychological learning theory. In particular, the focus of this work is on the prediction of the word associations as obtained from subjects on presentation of multiword stimuli. Results are presented for applications as diverse as crossword puzzle solving and the identification of word translations based on non-parallel texts.