none 10.1075/hot.1.aut1 John Benjamins Publishing Company John Benjamins Publishing Company 1757 74302086 1673454 1673455 202507022148000049 10.1075 2025-07-02T15:48:04Z 2015-03-16T08:38:13Z 19 2352-1821 10.1075/hot https://benjamins.com/ online/hot Hendrik J. Kockaert KU Leuven https://ror.org/05f950310 University of the Free State https://ror.org/009xwd568 https://orcid.org/0000-0002-9574-1498 Frieda Steurs KU Leuven https://ror.org/05f950310 University of the Free State https://ror.org/009xwd568 Université Catholique de l'Ouest https://ror.org/00jzv1t04 https://orcid.org/0000-0002-2884-5713 Volume 1 Terminology has started to explore unbeaten paths since Wüster, and has nowadays grown into a multi-facetted science, which seems to have reached adulthood, thanks to integrating multiple contributions not only from different linguistic schools, including computer, corpus, variational, socio-cognitive and socio-communicative linguistics, and frame-based semantics, but also from engineering and formal language developers. In this ever changing and diverse context, Terminology offers a wide range of opportunities ranging from standardized and prescriptive to prototype and user-based approaches. At this point of its road map, Terminology can nowadays claim to offer user-based and user-oriented, hence user-friendly, approaches to terminological phenomena, when searching, extracting and analysing relevant terminology in online corpora, when building term bases that contribute to efficient communication among domain experts in languages for special purposes, or even when proposing terms and definitions formed on the basis of a generally agreed consensus in international standard bodies. Terminology is now ready to advance further, thanks to the integration of meaning description taking into account dynamic natural language phenomena, and of consensus-based terminology management in order to help experts communicate in their domain-specific languages. In this Handbook of Terminology ( HoT ), the symbiosis of Terminology with Linguistics allows a mature and multi-dimensional reflection on terminological phenomena, which will eventually generate future applications which have not been tested yet in natural language. The HoT aims at disseminating knowledge about terminology (management) and at providing easy access to a large range of topics, traditions, best practices, and methods to a broad audience: students, researchers, professionals and lecturers in Terminology, scholars and experts from other disciplines (among which linguistics, life sciences, metrology, chemistry, law studies, machine engineering, and actually any expert domain). In addition, the HoT addresses any of those with a professional or personal interest in (multilingual) terminology, translation, interpreting, localization, editing, etc., such as communication specialists, translators, scientists, editors, public servants, brand managers, engineers, (intercultural) organization specialists, and experts in any field. Moreover, the HoT offers added value, in that it is the first handbook with this scope in Terminology which has both a print edition (also available as a PDF e-book) and an online version. For access to the Handbook of Terminology Online , please visit https://benjamins.com/online/hot/ . The HoT is linked to the Handbook of Translation Studies , not in the least because of its interdisciplinary approaches, but also because of the inevitable intertwining between translation and terminology. All chapters are written by specialists in the different subfields and are peer-reviewed. 1 3 13 2015 3 16 2015 9789027257772 9789027269560 John Benjamins Publishing Company Amsterdam 10.1075/hot.1 http://www.jbe-platform.com/content/books/9789027269560 https://www.degruyter.com/document/doi/10.1075/hot.1/html https://www.jbe-platform.com/deliver/fulltext/9789027269560.pdf Kris Heylen KU Leuven https://ror.org/05f950310 Dirk De Hertog KU Leuven https://ror.org/05f950310 3 13 2015 3 16 2015 203 221 10.1075/hot.1.aut1 https://benjamins.com/online/hot/articles/aut1 https://www.degruyter.com/document/doi/10.1075/hot.1.aut1/html The 8th Text Retrieval Conference Ahmad 717 1999 10.6028/NIST.SP.500-246.adhoc-city-pliers “Weirdness Indexing for Logical Document Extrapolation and Retrieval (WILDER).” A methodology for automatic term recognition Ananiadou 1034 1994 Acquisition et modélisation des connaissances à partir de textes: outils informatiques et éléments méthodologiques Assadi 505 1996 Proceedings of the 5th international conference on Advances in Natural Language Processing Aubin 380 2006 “Improving term extraction with terminological resources.” Proceedings of the Fourth International Conference On Language Resources And Evaluation Baroni 1313 2004 “BootCaT: Bootstrapping Corpora and Terms from the Web.” Proceedings of Recent Advances in Natural Language Processing Basili 28 2001 Modelling Syntactic Context in Automatic Term Extraction 10.1093/llc/8.4.243 Language and Computers Biber 26 181 1999 “Lexical bundles in conversation and academic prose.” 10.3115/992383.992415 Term extraction + term clustering: An integrated platform for computer-aided terminology Bourigault 15 1999 10.1075/nlp.2.04cab 10.1075/term.9.2.05chu Computational Linguistics Church 16 1 22 1990 “Word association norms, mutual information, and lexicography.” Proceedings of the 9th Portuguese Conference on Artificial Intelligence: Progress in Artificial Intelligence Da Silva 113 1999 “Using LocalMaxs Algorithm for the Extraction of Contiguous and Non-contiguous Multiword Lexical Units.” Study and Implementation of Combined Techniques for Automatic Extraction of Terminology Daille 29 1994 The Balancing Act: Combining Symbolic and Statistical Approaches to Language Daille 49 1996 “Study and Implementation of Combined Techniques for Automatic Extraction of Terminology.” 10.1075/term.11.1.08dai Towards automatic extraction of monolingual and bilingual terminology Daille 515 1994 10.1075/term.9.1.06dro Studies in Language and Communication Drouin 36 375 2006 “Termhood: Quantifying the Relevance of a Candidate Term.” Linguistic Insights Quantifying Termhood Through Corpus Comparison Drouin 191 2008 Computational Linguistics Dunning 19 1 61 1993 “Accurate methods for the statistics of surprise and coincidence.” NIST Special Publication 500-236 Evans 305 1995 Clarit TREC-4 Experiments “The Statistics of Word Cooccurrences: Word Pairs and Collocations. Evert 2004 10.1007/s007999900023 “Computational Terminology: Exploring Bilingual and Monolingual Term Extraction. Foo 2012 10.1075/tlrp.13.12foo Proceedings of the International Conference on Web Intelligence and Intelligent Agent Technology Groc 497 2011 “Babouk: Focused Web Crawling for Corpus Compilation and Automatic Terminology Extraction.” 10.1017/S1351324900000048 10.2201/NiiPi.2009.6.6 10.1075/term.3.2.03kag Corpus tools for retrieving and deriving termhood evidence Kit 69 2002 10.1075/term.14.2.05kit Proceedings of the 6th International Conference on Natural Language Processing Korkontzelos 248 2008 “Reviewing and Evaluating Automatic Term Recognition Techniques.” Statistical termhood measurement for mono-word terms via corpus comparison Liu 3499 2009 Foundations of Statistical Natural Language Processing Manning 1999 10.1142/S0218213004001466 Proceedings of the TKE ‘99 International Congress on Terminology and Knowledge Engineering Maynard 212 1999 “Identifying Contextual Information for Multi-Word Term Extraction.” Corpus-based Language Studies: An Advanced Resource Book McEnery 2006 10.1145/1141753.1141819 10.1075/term.6.2.05nak Proceedings of the First Workshop on Computational Terminology Nakagawa 64 1998 “Nested collocation and compound noun for term recognition.” A simple but powerful automatic term extraction method Nakagawa 1 2002 Enhancing automatic term recognition through recognition of variation Nenadic 2004 Proceedings of the 14th Biennial Conference of the Canadian Society on Computational Studies of intelligence: Advances in Artificial intelligence Pantel 36 2001 “A Statistical Corpus-Based Term Extractor” “Terminology extraction: an analysis of linguistic and statistical approaches.” Pazienza 2005 Combining association measures for collocation extraction Pecina 651 2006 English for Specific Purposes World Rizzo 9 27 1 2010 “Getting on with corpus compilation: from theory to practice.” Actes Table Ronde sur les Problèmes du Découpage du Terme Sager 39 1978 Commentary by Prof. Juan Carlos Sager 10.1145/361219.361220 Termextractor: a web application to learn the common terminology of interest groups and research communities Sclano 2007 AAA - Arbeiten aus Anglistik und Amerikanistik Scott 22 2 239 1997 “The Right Word in the Right Place: Key Word Associates in Two Languages.” 10.1093/applin/amp058 Making Term Extraction Tools Usable Thurmair 2003 10.1075/term.13.2.06viv “Improving Term Extraction by System Combination Using Boosting.” Vivaldi 515 2001 Paradigmatic Modifiability Statistics for the Extraction of Complex Multi-Word Terms Wermter 843 2005 10.1515/CLLT.2008.011 Proceedings of the Sixth Australasian Conference on Data Mining and Analytics Wong 47 2007 Determining termhood for learning domain ontologies using domain prevalence and tendency.” A Comparative Evaluation of Term Recognition Algorithms Zhang 2008