Automatic Comparable Web Corpora Collection and Bilingual Terminology Extraction for Specialized Dictionary Making

Improvement of Terminology Extraction Method for Specific Patent Search

Procedia Computer Science ◽

10.1016/j.procs.2014.08.255 ◽

2014 ◽

Vol 35 ◽

pp. 879-885

Author(s):

Kyoko Yanagihori ◽

Koji Tanaka ◽

Kazuhiko Tsuda

Keyword(s):

Extraction Method ◽

Terminology Extraction ◽

Patent Search

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The automatic identification of lexical variation between language varieties

Natural Language Engineering ◽

10.1017/s1351324910000161 ◽

2010 ◽

Vol 16 (4) ◽

pp. 469-491 ◽

Cited By ~ 10

Author(s):

YVES PEIRSMAN ◽

DIRK GEERAERTS ◽

DIRK SPEELMAN

Keyword(s):

High Frequency ◽

Automatic Identification ◽

Distributional Semantics ◽

Terminology Extraction ◽

Lexical Variation ◽

Language Varieties ◽

Automatic Retrieval ◽

Research Questions ◽

Ideal Framework ◽

The Ideal

AbstractLanguages are not uniform. Speakers of different language varieties use certain words differently – more or less frequently, or with different meanings. We argue that distributional semantics is the ideal framework for the investigation of such lexical variation. We address two research questions and present our analysis of the lexical variation between Belgian Dutch and Netherlandic Dutch. The first question involves a classic application of distributional models: the automatic retrieval of synonyms. We use corpora of two different language varieties to identify the Netherlandic Dutch synonyms for a set of typically Belgian words. Second, we address the problem of automatically identifying words that are typical of a given lect, either because of their high frequency or because of their divergent meaning. Overall, we show that distributional models are able to identify more lectal markers than traditional keyword methods. Distributional models also have a bias towards a different type of variation. In summary, our results demonstrate how distributional semantics can help research in variational linguistics, with possible future applications in lexicography or terminology extraction.

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Predicting Degrees of Technicality in Automatic Terminology Extraction

10.18653/v1/2020.acl-main.258 ◽

2020 ◽

Author(s):

Anna Hätty ◽

Dominik Schlechtweg ◽

Michael Dorna ◽

Sabine Schulte im Walde

Keyword(s):

Terminology Extraction

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Automating the construction of bilingual terminology lexicons

Terminology ◽

10.1075/term.4.2.02hul ◽

1997 ◽

Vol 4 (2) ◽

pp. 225-244 ◽

Cited By ~ 2

Author(s):

David A. Hull

Keyword(s):

Word Alignment ◽

Heuristic Methods ◽

Sentence Pair ◽

Terminology Extraction ◽

Single Sentence ◽

General Methodology ◽

Simple Heuristic ◽

Depth Analysis

Translation is a labor intensive process. We propose a general methodology for automatic terminology extraction and alignment which could substantially reduce the translator's workload. The goal is to take advantage of existing technology in terminology extraction and statistical word alignment to automatically construct a bilingual terminology lexicon by exploiting bilingual parallel aligned corpora. This paper introduces the technology in each area and discusses some simple heuristic methods for using the output from each component to build a bilingual terminology lexicon. The process is illustrated by an in-depth analysis of a single sentence pair.

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