Primitive Part-of-Speech Tagging using Word Length and Sentential Structure

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dc.creatorCozens, Simon
dc.date1998-08-23
dc.date.accessioned2026-07-07T02:36:21Z
dc.date.available2026-07-07T02:36:21Z
dc.descriptionIt has been argued that, when learning a first language, babies use a series of small clues to aid recognition and comprehension, and that one of these clues is word length. In this paper we present a statistical part of speech tagger which trains itself solely on the number of letters in each word in a sentence.
dc.description6 pages
dc.identifierhttps://arxiv.org/abs/cmp-lg/9808011
dc.identifierhttp://arxiv.org/abs/cmp-lg/9808011
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/15886
dc.subjectComputation and Language
dc.titlePrimitive Part-of-Speech Tagging using Word Length and Sentential Structure
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