Heuristics-based replenishment of collocation databases

Igor A. Bolshakov; Alexander Gelbukh

doi:10.1007/3-540-45433-0_5

Heuristics-based replenishment of collocation databases

Igor A. Bolshakov, Alexander Gelbukh

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

9 Scopus citations

Abstract

Collocations are defmed as syntactically linked and semantically plausible combinations of content words. Since collocations constitute a bulk of common texts and depend on the language, creation of collocation databases (CBD5) is important. However, manual compilation of such databases is prohibitively expensive. We present heuristics for automatic generation of new Spanish collocations based on those already present in a CBD, with the help of WordNet-like thesaurus: If a word A is semantically "similar" to a word B and a collocation B + C is known, then A + C presumably is a collocation of the same type given certain conditions are met.

Original language	English
Title of host publication	Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
Pages	25-32
Number of pages	8
Volume	2389
DOIs	https://doi.org/10.1007/3-540-45433-0_5
State	Published - 2002
Externally published	Yes

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Heuristics-based replenishment of collocation databases

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