This paper addresses the problem of developing a large semantic lexicon for natural language processing. The increas~g availability of machine.

This paper addresses the problem of developing a large semantic lexicon for natural language processing. The increasing availability of machine readable ...

The system presented hereafter, PETRARCA, detects word cooccurrences from a large sample of press agency releases on finance and economics, and uses these ...

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COMPUTER AIDED INTERPRETATION OF LEXICAL COOCCURRENCES. Paola Velardi | Maria Teresa Pazienza |. Paper Details: Month: June Year: 1989

With corpus-linguistic techniques, lexical patterns can be identified, quantified and compared across large samples to find commonalities. Alternatively, such ...

This article argues that the systemic study of the realisational rela- tionship which holds between “meaning” and “form” could benefit from.

In two studies we compare a distributional semantic model derived from word co-occurrences and a word association based model in their ability to predict ...

This means that individual texts are interpreted against an intertextual background of norms of language use. These norms, which are expressed largely in.

A model and implementation of lexis for text generation is described that has the goal of providing motivated choice within the lexical component.