Domain-specific term extraction from free texts

2012 ◽  
Author(s):  
Chunxia Zhang ◽  
Zhendong Niu ◽  
Peng Jiang ◽  
Hongping Fu
Keyword(s):  
Domain Specific ◽  
Term Extraction ◽  
Specific Term

scholarly journals The underpinnings of a composite measure for automatic term extraction

Terminology ◽  
2015 ◽  
Vol 21 (2) ◽  
pp. 151-179 ◽  
Author(s):  
Carlos Periñán-Pascual
Keyword(s):  
Complex Task ◽  
Composite Measure ◽  
Domain Specific ◽  
Term Extraction ◽  
Automatic Term Extraction ◽  
Three Components

The corpus-based identification of those lexical units which serve to describe a given specialized domain usually becomes a complex task, where an analysis oriented to the frequency of words and the likelihood of lexical associations is often ineffective. The goal of this article is to demonstrate that a user-adjustable composite metric such as SRC can accommodate to the diversity of domain-specific glossaries to be constructed from small- and medium-sized specialized corpora of non-structured texts. Unlike for most of the research in automatic term extraction, where single metrics are usually combined indiscriminately to produce the best results, SRC is grounded on the theoretical principles of salience, relevance and cohesion, which have been rationally implemented in the three components of this metric.

scholarly journals DEXTER: A workbench for automatic term extraction with specialized corpora

2017 ◽  
Vol 24 (2) ◽  
pp. 163-198 ◽  
Author(s):  
CARLOS PERIÑAN-PASCUAL
Keyword(s):  
Frequency Distribution ◽  
Extensive Literature ◽  
Design And Development ◽  
Priority Area ◽  
Domain Specific ◽  
Term Extraction ◽  
Automatic Term Extraction ◽  
A Priority ◽  
Support Research

AbstractAutomatic term extraction has become a priority area of research within corpus processing. Despite the extensive literature in this field, there are still some outstanding issues that should be dealt with during the construction of term extractors, particularly those oriented to support research in terminology and terminography. In this regard, this article describes the design and development of DEXTER, an online workbench for the extraction of simple and complex terms from domain-specific corpora in English, French, Italian and Spanish. In this framework, three issues contribute to placing the most important terms in the foreground. First, unlike the elaborate morphosyntactic patterns proposed by most previous research, shallow lexical filters have been constructed to discard term candidates. Second, a large number of common stopwords are automatically detected by means of a method that relies on the IATE database together with the frequency distribution of the domain-specific corpus and a general corpus. Third, the term-ranking metric, which is grounded on the notions of salience, relevance and cohesion, is guided by the IATE database to display an adequate distribution of terms.

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