Word Sense Disambiguation using Optimised Combinations of Knowledge Sources
Word sense disambiguation algorithms, with few exceptions, have made use of only one lexical knowledge source. We describe a system
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Word Study and English Grammar A Primer of Information about Words, Their Relations and Their Uses
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Bok building's 1st floor fills up through word of mouth: 'They came to us'
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A Delco firefighter was convicted of making racist threats for calling a woman the N-word during an argument
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How to Master the Spoken Word Designed as a Self-Instructor for all who would Excel in the Art of Public Speaking
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Word Sense Disambiguation by Web Mining for Word Co-occurrence Probabilities
This paper describes the National Research Council (NRC) Word Sense Disambiguation (WSD) system, as applied to the English Lexical Sample
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Word Portraits of Famous Writers
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Word Clustering and Disambiguation Based on Co-occurrence Data
We address the problem of clustering words (or constructing a thesaurus) based on co-occurrence data, and using the acquired word
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Word Length Frequency and Distribution in English: Observations, Theory, and Implications for the Construction of Verse Lines
Recent observations in the theory of verse and empirical metrics have suggested that constructing a verse line involves a pattern-matching
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A Word, Only a Word — Volume 05
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Word-to-Word Models of Translational Equivalence
Parallel texts (bitexts) have properties that distinguish them from other kinds of parallel data. First, most words translate to only
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