Work

Temporality as Seen through Translation: A Case Study on Hindi Texts

Year: 2017

Type: conference-paper

Abstract: Temporality hassignificantly 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.

Source: Edinburgh Research Explorer (University of Edinburgh)

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

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W2943474412

FWCI:

Cites: 29

Cited by:

Related to: 10