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- Volume 9, Issue, 2003
Terminology. International Journal of Theoretical and Applied Issues in Specialized Communication - Volume 9, Issue 2, 2003
Volume 9, Issue 2, 2003
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Theories of terminology: Their description, prescription and explanation
Author(s): M. Teresa Cabré Castellvípp.: 163–199 (37)More LessDuring the past decade, the theory of terminology has been a subject of debate in various circles. This article examines some of the reasons why this topic has been receiving so much interest lately. I will first discuss the theory developed by Wüster and analyse the motivations behind his model. Then, I will explain why the Wüsterian theory was not questioned or challenged for a long time. This will lead us to the reasons why so many critical voices have been raised recently, both from inside traditional viewpoints and outside. I will also look at the reception these new ideas have had in terminology circles. Finally, I will present my own definition of a theory of terminology, by examining important issues such a theory should take into account and see what I can offer to this debate.
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Automatic term recognition based on statistics of compound nouns and their components
Author(s): Hirosi Nakagawa and Tatsunori Moripp.: 201–219 (19)More LessIn this paper, we propose a new approach to enhance automatic recognition systems for domain-specific terms. The approach is based on the statistics about the relation between a compound noun and its constituents that are simple nouns. More precisely, we focus on how many nouns adjoin the noun in question to form compound nouns. We propose several scoring methods based on this approach and experimentally evaluate them on the NTCIR1 TMREC test collection. The results are very promising, especially in low and high recall.
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A corpus comparison approach for terminology extraction
Author(s): Teresa Mihwa Chungpp.: 221–246 (26)More LessThis article examines one of the possible approaches to identifying technical terms: a corpus comparison approach using the range and frequency of word forms. In order to identify terms using the corpus comparison approach, a ratio is used as a tool based on the comparative range and frequency of word forms between a technical corpus and a comparison corpus. A rating scale approach is used as the basis for evaluating the corpus comparison approach.The analysis shows that the corpus comparison approach works reasonably well with around 86% overlap with the results from the rating scale approach. It also shows that the corpus comparison approach using word types is a reasonably simple and practical way of identifying terms.
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Intralinguistic analysis of medical research papers and abstracts: Rhetorical and phraseological devices in scientific information
Author(s): Beatriz Méndez-Cendón and Belén López Arroyopp.: 247–268 (22)More LessStudies related to ESP genres have been carried out lately focusing on different levels of analysis, such as internal ordering, lexico-grammatical patterns or terminology. However, there are not many studies combining different levels of analysis so as to observe how information is rendered in scientific genres. The present study intends to offer a description of rhetorical and phraseological patterns observed in medical research papers and abstracts using a semantic and functional approach. Our methodology is descriptively performed on a comparable corpus composed of research papers and abstracts in the field of diagnostic imaging and published in esteemed journals. We will determine composition strategies by means of the description of the authors’ favourite structures found in our corpus. Once these favourite structures have been obtained for every genre, we will proceed with semantic analysis so as to establish their similarities and differences. Our results will, primarily, help translators, technical writers and ESP students to infer discursive strategies in these genres, as well as to better understand some of the discourse aspects of rendering scientific information in general.
Volumes & issues
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Volume 30 (2024)
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Volume 29 (2023)
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Volume 28 (2022)
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Volume 27 (2021)
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Volume 26 (2020)
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Volume 25 (2019)
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Volume 24 (2018)
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Volume 23 (2017)
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Volume 22 (2016)
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Volume 21 (2015)
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Volume 20 (2014)
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Volume 19 (2013)
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Volume 18 (2012)
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Volume 17 (2011)
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Volume 16 (2010)
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Volume 15 (2009)
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Volume 14 (2008)
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Volume 13 (2007)
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Volume 12 (2006)
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Volume 11 (2005)
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Volume 10 (2004)
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Volume 9 (2003)
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Volume 8 (2002)
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Volume 7 (2001)
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Volume 6 (2000)
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Volume 5 (1998)
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Volume 4 (1997)
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Volume 3 (1996)
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Volume 2 (1995)
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Volume 1 (1994)
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Methods of automatic term recognition: A review
Author(s): Kyo Kageura and Bin Umino
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