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Lexical uncertainties confronted by government translators when translating legal documents from Sinhala to English

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dc.contributor.author Hansani, J.A.M
dc.contributor.editor Thayasivam, U
dc.contributor.editor Rathnayaka, C
dc.date.accessioned 2025-01-23T07:11:18Z
dc.date.available 2025-01-23T07:11:18Z
dc.date.issued 2020
dc.identifier.uri http://dl.lib.uom.lk/handle/123/23257
dc.description.abstract The objective of the present study is to find the lexical uncertainties confronted by government translators who have less than one- year experience in their profession. The mixed methodology was employed to gather the primary data. An error analysis was done after having asked 25 selected translators to translate different legal documents. It is found out that ambiguity, vagueness, lack of knowledge of context, vagueness and legal terminology have mostly caused producing non or less acceptable translation. Out of those five lexical uncertainties, the researcher has found legal terminology as the lexical uncertainty most frequently confronted by translators in translating legal documents. To collect more data, a questionnaire was also distributed to the sample population. As recommendations to solve these issues, the research suggests the use and the maintenance of legal glossaries, meeting law experts, gathering legal knowledge, extensive reading and getting help from online sources and books. en_US
dc.language.iso en en_US
dc.publisher National Language Processing Centre University of Moratuwa Sri Lanka en_US
dc.subject Legal Translation en_US
dc.subject Lexical Uncertainty en_US
dc.subject Government Translators en_US
dc.subject Terminology en_US
dc.title Lexical uncertainties confronted by government translators when translating legal documents from Sinhala to English 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. 18 en_US
dc.identifier.proceeding Proceedings of Symposium on Natural Language Processing 2020 en_US
dc.identifier.email madukahansani89@gmail.com en_US


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