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Temporality as seen through translation: a case study on Hindi texts

Kamila, Sabyasachi, Sen, Sukanta, Hasanuzzaman, Mohammed ORCID: 0000-0003-1838-0091, Ekbal, Asif, Way, Andy ORCID: 0000-0001-5736-5930 and Bhattacharyya, Pushpak (2017) Temporality as seen through translation: a case study on Hindi texts. In: MT Summit XVI - 16th Machine Translation Summit, 18-22 Sept 2017, Nagoya, Japan.

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Abstract

Temporality has significantly contributed to various aspects of Natural Language Processing applications. In this paper, we determine the extent to which temporal orientation is preserved when a sentence is translated manually and automatically from the Hindi language to the English language. We show that the manually and automatically identified temporal orientation in English translated (both manual and automatic) sentences provides a good match with the temporal orientation of the Hindi texts. We also find that the task of manual temporal annotation becomes difficult in the translated texts while the automatic temporal processing system manages to correctly capture temporal information from the translations.

Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Subjects:Computer Science > Machine translating
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Research Initiatives and Centres > ADAPT
Published in: Kurohashi, Sadao and Fung, Pascale, (eds.) MT Summit XVI Proceedings. 1. Asia-Pacific Association for Machine Translation.
Publisher:Asia-Pacific Association for Machine Translation
Copyright Information:©2017 The Authors
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:ADAPT Centre for Digital Content Technology, funded under the SFI Research Centres Programme (Grant 13/RC/2106) and is cofunded under the European Regional Development Fund.
ID Code:23219
Deposited On:01 May 2019 15:32 by Thomas Murtagh . Last Modified 04 Jan 2021 16:56

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