Statistical Language Learning
Nymble: a high-performance learning name-finder
ANLC '97 Proceedings of the fifth conference on Applied natural language processing
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Names can serve several purposes in the field of Machine Translation. The problems range from identifying to processing the various types of names. The paper begins with a short description of the search strategy and then continues with the classification of types into a typology.We present our findings according to degrees of translation from which we highlight clues. These clues indicate a first step towards formalization.