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Bridging the “gApp”: improving neural machine translation systems for multiword expression detection
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In: 11 ; 1 ; 61 ; 80 (2020)
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Register-Specific Collocational Constructions in English and Spanish: A Usage-Based Approach
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In: 11 ; 3 ; 139 ; 151 (2015)
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Abstract:
Constructions are usage-based, conventionalised pairings of form and function within a cline of complexity and schematisation. Most research within Construction Grammar has focused on the monolingual description of schematic constructions: Mainly in English, but to a lesser extent in other languages as well. By contrast, very little constructional analyses have been carried out across languages. In this study we will focus on a type of partially substantive construction from the point of view of contrastive analysis and translation which, to the best of our knowledge, is one of the first studies of this kind. The first half of the article lays down the theoretical foundations of the study and introduces Construction Grammar as well as other formalisms used in literature in order to provide a construal account of collocations, a pervasive phenomenon in language. The experimental part describes the case study of V NP collocations with disease/enfermedad in comparable corpora in English and Spanish, both in the general domain and in the specialised medical domain. It is provided a comparative analysis of these constructions across domains and languages in terms of token-type ratio (constructional restriction-rate), lexical function, type of determiner, frequency ranking of the verbal collocate and domain specificity of collocates, among others. New measures to assess construal bondness will be put forward (lexical filledness rate and individual productivity rate) and special attention will be paid to register-dependent equivalent semantic-functional counterparts in English and Spanish and mismatches. ; Published version
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Keyword:
collocations; construction grammar; corpus linguistics; phraseology; translation
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URL: http://hdl.handle.net/2436/622556
https://doi.org/10.3844/jssp.2015.139.151
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Mutual terminology extraction using a statistical framework
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In: 41 ; 107 ; 112 (2008)
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