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How much context span is enough? Examining context-related issues for document-level MT
In: Castilho, Sheila orcid:0000-0002-8416-6555 (2022) How much context span is enough? Examining context-related issues for document-level MT. In: 13th Language Resources and Evaluation Conference, 21-23 June 2022, Marseille, France. (In Press) (2022)
Abstract: This paper analyses how much context span is necessary to solve different context-related issues, namely, reference, ellipsis, gender, number, lexical ambiguity, and terminology when translating from English into Portuguese. We use the DELA corpus, which consists of 60 documents and six different domains (subtitles, literary, news, reviews, medical, and legislation). We find that the shortest context span to disambiguate issues can appear in different positions in the document including preceding, following, global, world knowledge; and that the average length depends on the issue types as well as the domain. Additionally, we show that the standard approach of relying on only two preceding sentences as context might not be enough depending on the domain and issue types.
Keyword: Computational linguistics; context span; document-level; Language; Linguistics; Machine translating; Translating and interpreting
URL: http://doras.dcu.ie/27009/
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2
An investigation of English-Irish machine translation and associated resources
Dowling, Meghan. - : Dublin City University. School of Computing, 2022. : Dublin City University. ADAPT, 2022
In: Dowling, Meghan orcid:0000-0003-1637-4923 (2022) An investigation of English-Irish machine translation and associated resources. PhD thesis, Dublin City University. (2022)
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3
The role of machine translation in translation education: A thematic analysis of translator educators’ beliefs
In: Translation and Interpreting : the International Journal of Translation and Interpreting Research, Vol 14, Iss 1, Pp 177-197 (2022) (2022)
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