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IDENTIFYING AND GROUPING VARIANTS OF TECHNICAL TERMS ON THE BASIS OF TEXT CORPORA Poster + Demo
BibTeX
@MISC{Weller_identifyingand,
author = {Marion Weller and Anita Gojun and Ulrich Heid and Helena Blancafort and Béatrice Daille},
title = {IDENTIFYING AND GROUPING VARIANTS OF TECHNICAL TERMS ON THE BASIS OF TEXT CORPORA Poster + Demo},
year = {}
}
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Abstract
In the TTC project 1, monolingual term candidate extraction tools are being developed, as a basis for later term alignment, using comparable corpora. TTC covers English, German, French, Spanish, Latvian, Russian and Chinese. In the poster, we address the extraction of morphological and syntactic term variants of the first four languages. The term extraction pipeline is aimed at texts of technical domains (e.g. wind energy), which are obtained by a thematic web-crawler and then are POS-tagged and lemmatized. We extract multiword term candidates by POS-patterns (e.g. adjective+noun) and statistically filter domain-relevant terms. In a second step, morpho-syntactic term variants are grouped into sets: (1) metallhaltiger Abfall ↔ Abfall aus Metall We use the typology of term variation proposed by (Daille, 2005). Certain types of variation are captured by expanding basic POS-patterns; for modifications (adjectives, embedding under genitive or of–phrases), additional distributional data are used, e.g. the frequency of modifiers in particular constructions. For morphological variation, we experiment with a simple stemming-based approach and a
Keyphrases
morpho-syntactic term variant syntactic term variant additional distributional data monolingual term candidate extraction tool thematic web-crawler filter domain-relevant term certain type technical domain second step ttc project metallhaltiger abfall abfall morphological variation basic pos-patterns multiword term candidate term extraction pipeline particular construction comparable corpus term alignment adjective noun simple stemming-based approach term variation
