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Assessing the influence of structural ambiguity in technical translation with special reference to administrative documents in Sri Lanka

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dc.contributor.author Sewwand, N.
dc.contributor.author Amarasinghe, H.
dc.contributor.editor Thayasivam, U
dc.contributor.editor Rathnayaka, C
dc.date.accessioned 2025-01-23T07:29:06Z
dc.date.available 2025-01-23T07:29:06Z
dc.date.issued 2020
dc.identifier.uri http://dl.lib.uom.lk/handle/123/23259
dc.description.abstract Ambiguity is a crucial problem that translators often encounter when translate documents from Source language (SL) to Target language (TL). Each language is comprised of system of linguistic elements (phonology, morphology, syntax and semantics) which arranged to a proper sequence in a way that a clear meaning is derived by the users. However, due to some improper arrangements of these linguistic elements, perhaps the message intended to be delivered can be misinterpreted in several ways. In the context of structural ambiguity, Tuggy (1993) defines it as a “result of two or more syntactic structures that can be attributed to one string of word or sentence.” This research aimed to assess the influence of structural ambiguity in technical translation with special reference to administrative documents in Sri Lanka. The study was conducted in line with qualitative approaches observing English version of administrative documents including the gazettes, circulars, and amendments. The results indicated that the ambiguity was associated by 2% out of all the selected text, and 80% of which has appeared as a result of modification while the rest has come in the form of co-ordination. en_US
dc.language.iso en en_US
dc.subject Translation en_US
dc.subject Ambiguity, en_US
dc.subject Modification en_US
dc.subject Co-ordination en_US
dc.title Assessing the influence of structural ambiguity in technical translation with special reference to administrative documents in Sri Lanka en_US
dc.type Conference-Abstract en_US
dc.identifier.year 2020 en_US
dc.identifier.conference Symposium on Natural Language Processing 2020 en_US
dc.identifier.place University of Moratuwa en_US
dc.identifier.pgnos p.16 en_US
dc.identifier.proceeding Proceedings of Symposium on Natural Language Processing 2020 en_US


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