TExSIS
Bilingual terminology extraction from parallel corpora using chunk-based alignment
We report on TExSIS, a flexible bilingual terminology extraction system that uses a sophisticated chunk-based alignment method for the generation of candidate terms, after which the specificity of the candidate terms is determined by combining several statistical filters. Although the set-up of the architecture is largely language-independent, we present terminology extraction results for four different languages and three language pairs. Gold standard data sets were created for French-Italian, French-English and French-Dutch, which allowed us not only to evaluate precision, which is common practice, but also recall. We compared the TExSIS approach, which takes a multilingual perspective from the start, with the more commonly used approach of first identifying term candidates monolingually and then aligning the source and target terms. A comparison of our system with the LUIZ approach described by Vintar (2010) reveals that TExSIS outperforms LUIZ both for monolingual and bilingual terminology extraction. Our results also clearly show that the precision of the alignment is crucial for the success of the terminology extraction. Furthermore, based on the observation that the precision scores for bilingual terminology extraction outperform those of the monolingual systems, we conclude that multilingual evidence helps to determine unithood in less related languages.
Keywords: automatic term extraction, bilingual term extraction, chunks, alignment, parallel corpora
Published online: 29 April 2013
https://doi.org/10.1075/term.19.1.01mac
https://doi.org/10.1075/term.19.1.01mac
Cited by
Cited by other publications
Croijmans, Ilja, Iris Hendrickx, Els Lefever, Asifa Majid & Antal Van Den Bosch
2020. Uncovering the language of wine experts.
Natural Language Engineering 26:5 ► pp. 511 ff. 
Dash, Niladri Sekhar & L. Ramamoorthy
2019.
In Utility and Application of Language Corpora,
► pp. 193 ff.
Desmet, Bart & Véronique Hoste
2018. Online suicide prevention through optimised text classification.
Information Sciences 439-440 ► pp. 61 ff.
Hanoulle, Sabien, Véronique Hoste & Aline Remael
2015. The efficacy of terminology-extraction systems for the translation of documentaries.
Perspectives 23:3 ► pp. 359 ff.
Horák, Aleš, Vít Baisa, Adam Rambousek & Vít Suchomel
2019. A New Approach for Semi-Automatic Building and Extending a Multilingual Terminology Thesaurus.
International Journal on Artificial Intelligence Tools 28:02 ► pp. 1950008 ff.
Hoste, Veronique, Klaar Vanopstal, Ayla Rigouts Terryn & Els Lefever
2019. The Trade-off between Quantity and Quality. Comparing a Large Crawled Corpus and a Small Focused Corpus for Medical Terminology Extraction.
Across Languages and Cultures 20:2 ► pp. 197 ff.
Kessler, Remy, Nicolas Bechet & Giuseppe Berio
2019.
In 2019 First International Conference on Digital Data Processing (DDP),
► pp. 22 ff.
Lefever, Els
2016. A hybrid approach to domain-independent taxonomy learning.
Applied Ontology 11:3 ► pp. 255 ff.
Lefever, Els, Marjan Van de Kauter & Véronique Hoste
2014. HypoTerm.
Terminology. International Journal of Theoretical and Applied Issues in Specialized Communication 20:2 ► pp. 250 ff.
Li, Bin & Jianmin Yao
2019. Study on Unknown Term Translation Mining from Google Snippets.
Information 10:9 ► pp. 267 ff.
Macken, Lieve & Arda Tezcan
2018.
In Multiword Units in Machine Translation and Translation Technology [Current Issues in Linguistic Theory, 341],
► pp. 148 ff.
Martinez-Rodriguez, Jose L., Aidan Hogan, Ivan Lopez-Arevalo & Andreas Hotho
2020. Information extraction meets the Semantic Web: A survey.
Semantic Web 11:2 ► pp. 255 ff.
Mennes, Julie
2018. SenseDisclosure: A new procedure for dealing with problematically ambiguous terms in cross-disciplinary communication.
Language Sciences 69 ► pp. 57 ff.
Mennes, Julie, Ted Pedersen & Els Lefever
2019. Approaching terminological ambiguity in cross-disciplinary communication as a word sense induction task: a pilot study.
Language Resources and Evaluation 53:4 ► pp. 889 ff.
Ngo, The Quyen, My Linh Ha, Thi Minh Huyen Nguyen, Thi Mai Huong Hoang & Viet Hung Nguyen
2020.
In Computational Linguistics [Communications in Computer and Information Science, 1215],
► pp. 388 ff.
Oliver, Antoni
2017. A system for terminology extraction and translation equivalent detection in real time.
Machine Translation 31:3 ► pp. 147 ff.
Repar, Andraž, Matej Martinc & Senja Pollak
2020. Reproduction, replication, analysis and adaptation of a term alignment approach.
Language Resources and Evaluation 54:3 ► pp. 767 ff.
Repar, Andraž, Vid Podpečan, Anže Vavpetič, Nada Lavrač & Senja Pollak
2019. TermEnsembler.
Terminology. International Journal of Theoretical and Applied Issues in Specialized Communication 25:1 ► pp. 93 ff.
Rigouts Terryn, Ayla, Véronique Hoste & Els Lefever
2020. In no uncertain terms: a dataset for monolingual and multilingual automatic term extraction from comparable corpora.
Language Resources and Evaluation 54:2 ► pp. 385 ff.
Tien, Ha Nguyen, Quyen Ngo The, Huyen Nguyen Thi Minh & Linh Ha My
2019.
In Proceedings of the Tenth International Symposium on Information and Communication Technology - SoICT 2019,
► pp. 56 ff.
Xiong, Deyi, Fandong Meng & Qun Liu
2016. Topic-based term translation models for statistical machine translation.
Artificial Intelligence 232 ► pp. 54 ff.
Zhao, Chongchong, Chao Dong & Xiaoming Zhang
2018. ROCP: A Rapid Ontology Construction Platform from Unstructured Data.
Data Science Journal 17
This list is based on CrossRef data as of 22 november 2020. Please note that it may not be complete. Sources presented here have been supplied by the respective publishers. Any errors therein should be reported to them.