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Terminology extraction and term ranking for standardizing term banks
Linköping University, The Institute of Technology. Linköping University, Department of Computer and Information Science, NLPLAB - Natural Language Processing Laboratory.
Linköping University, The Institute of Technology. Linköping University, Department of Computer and Information Science, NLPLAB - Natural Language Processing Laboratory.
2007 (English)In: Proceedings of 16th Nordic Conference of Computational Linguistics Nodalida,2007 / [ed] Joakim Nivre, Heiki-Jaan Kaalep, Kadri Muischnek and Mare Koit, Tartu, Estonia: University of Tartu , 2007, 349-354 p.Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents how word alignment techniques could be used for building standardized term banks. It is shown that time and effort could be saved by a relatively simple evaluation metric based on frequency data from term pairs, and source and target distributions inside the alignment results. The proposed Q-value metric is shown to outperform other tested metrics such as Dice's coefficient, and simple pair frequency.

 

Place, publisher, year, edition, pages
Tartu, Estonia: University of Tartu , 2007. 349-354 p.
Keyword [en]
terminology extraction, metric, word alignment
National Category
Computer Science
Identifiers
URN: urn:nbn:se:liu:diva-41011Local ID: 54924ISBN: 978-9985-4-0513-0 (electronic)OAI: oai:DiVA.org:liu-41011DiVA: diva2:261861
Conference
NODALIDA 2007, 16th Nordic Conference of Computational Linguistics, 24-26 May 2007, University of Tartu, Estonia
Available from: 2010-09-29 Created: 2009-10-10 Last updated: 2012-03-07Bibliographically approved
In thesis
1. Computational Terminology: Exploring Bilingual and Monolingual Term Extraction
Open this publication in new window or tab >>Computational Terminology: Exploring Bilingual and Monolingual Term Extraction
2012 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

Terminologies are becoming more important to modern day society as technology and science continue to grow at an accelerating rate in a globalized environment. Agreeing upon which terms should be used to represent which concepts and how those terms should be translated into different languages is important if we wish to be able to communicate with as little confusion and misunderstandings as possible.

Since the 1990s, an increasing amount of terminology research has been devoted to facilitating and augmenting terminology-related tasks by using computers and computational methods. One focus for this research is Automatic Term Extraction (ATE).

In this compilation thesis, studies on both bilingual and monolingual ATE are presented. First, two publications reporting on how bilingual ATE using the align-extract approach can be used to extract patent terms. The result in this case was 181,000 manually validated English-Swedish patent terms which were to be used in a machine translation system for patent documents. A critical component of the method used is the Q-value metric, presented in the third paper, which can be used to rank extracted term candidates (TC) in an order that correlates with TC precision. The use of Machine Learning (ML) in monolingual ATE is the topic of the two final contributions. The first ML-related publication shows that rule induction based ML can be used to generate linguistic term selection patterns, and in the second ML-related publication, contrastive n-gram language models are used in conjunction with SVM ML to improve the precision of term candidates selected using linguistic patterns.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2012. 68 p.
Series
Linköping Studies in Science and Technology. Thesis, ISSN 0280-7971 ; 1523
Keyword
terminology, automatic term extraction, automatic term recognition, computational terminology, terminology management
National Category
Language Technology (Computational Linguistics)
Identifiers
urn:nbn:se:liu:diva-75243 (URN)978-91-7519-944-3 (ISBN)
Presentation
2012-04-04, Alan Turing, Hus E, Campus Valla, Linköpings universitet, Linköping, 13:15 (English)
Opponent
Supervisors
Available from: 2012-03-07 Created: 2012-02-23 Last updated: 2012-03-07Bibliographically approved

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