Conference Proceedings


Pushpak Bhattacharyya
Andy Way
Asif Ekbal
Mohammed Hasanuzzaman
Sukanta Sen
Sabyasachi Kamila



machine translating hindi english language natural language processing translation orientation temporality automatic

Temporality as seen through translation: a case study on Hindi texts (2017)

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.
Collections Ireland -> Dublin City University -> Publication Type = Conference or Workshop Item
Ireland -> Dublin City University -> DCU Faculties and Centres = DCU Faculties and Schools: Faculty of Engineering and Computing: School of Computing
Ireland -> Dublin City University -> DCU Faculties and Centres = Research Initiatives and Centres: ADAPT
Ireland -> Dublin City University -> Status = Published
Ireland -> Dublin City University -> Subject = Computer Science: Machine translating

Full list of authors on original publication

Pushpak Bhattacharyya, Andy Way, Asif Ekbal, Mohammed Hasanuzzaman, Sukanta Sen, Sabyasachi Kamila

Experts in our system

Andy Way
Dublin City University
Total Publications: 229
Mohammed Hasanuzzaman
Dublin City University
Total Publications: 9
Sabyasachi Kamila
Dublin City University
Total Publications: 3