A statistical model for near-synonym choice
نویسندگان
چکیده
منابع مشابه
Near-Synonym Choice using a 5-gram Language Model
In this work, an unsupervised statistical method for automatic choice of near-synonyms is presented and compared to the stateof-the-art. We use a 5-gram language model built from the Google Web 1T data set. The proposed method works automatically, does not require any human-annotated knowledge resources (e.g., ontologies) and can be applied to different languages. Our evaluation experiments sho...
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We present Xenon, a natural language generation system capable of distinguishing between nearsynonyms. It integrates a near-synonym choice module with an existing sentence realization module. We evaluate Xenon using English and French nearsynonyms.
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An intelligent thesaurus assists a writer with alternative choices of words and orders them by their suitability in the writing context. In this paper we focus on methods for automatically choosing nearsynonyms by their semantic coherence with the context. Our statistical method uses the Web as a corpus to compute mutual information scores. Evaluation experiments show that this method performs ...
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Near-synonym sets represent groups of words with similar meaning, which are useful knowledge resources for many natural language applications such as query expansion for information retrieval (IR) and computer-assisted language learning. However, near-synonyms are not necessarily interchangeable in contexts due to their specific usage and syntactic constraints. Previous studies have developed v...
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One of the least-understood aspects of lexical choice in Natural Language Generation is choosing between near-synonyms. Previous studies of this issue, such as Edmonds and Hirst [4], have focused on semantic differences between near-synonyms, as analysed by lexicographers. Our empirical analysis of near-synonym choice in weather forecasts, however, suggests that other factors are probably more ...
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ژورنال
عنوان ژورنال: ACM Transactions on Speech and Language Processing
سال: 2007
ISSN: 1550-4875,1550-4883
DOI: 10.1145/1187415.1187417