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

Sabyasachi Kamila; Sukanta Sen; Mohammad Hasanuzzaman; Asif Ekbal; Andy Way; Pushpak Bhattacharyya

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

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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.

Original language	English
Title of host publication	Proceedings of MT Summit XVI: Vol.1 Research Track
Editors	Sadao Kurohashi, Pascale Fun
Pages	324-336
Number of pages	13
Publication status	Published - 18 Sep 2017
Event	Machine Translation Summit XVI 2017 - Nagoya University, Nagoya, Japan Duration: 18 Sep 2017 → 22 Sep 2017 http://www.eamt.org/news/news_cfp_mts2017.php

Conference

Conference	Machine Translation Summit XVI 2017
Abbreviated title	MT XVI 2017
Country/Territory	Japan
City	Nagoya
Period	18/09/17 → 22/09/17
Internet address	http://www.eamt.org/news/news_cfp_mts2017.php

Access to Document

Temporality as Seen_KAMILA_DOA10072017_VOR_CC-BY-NDFinal published version, 645 KBLicence: Creative Commons: Attribution No Derivatives (CC-BY-ND)

http://aamt.info/app-def/S-102/mtsummit/2017/conference-proceedings/Licence: Creative Commons: Attribution No Derivatives (CC-BY-ND)

Cite this

@inproceedings{ae777e48af274829863197fcb645d454,

title = "Temporality as Seen through Translation: A Case Study on Hindi Texts",

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.",

author = "Sabyasachi Kamila and Sukanta Sen and Mohammad Hasanuzzaman and Asif Ekbal and Andy Way and Pushpak Bhattacharyya",

year = "2017",

month = sep,

day = "18",

language = "English",

pages = "324--336",

editor = "Sadao Kurohashi and Pascale Fun",

booktitle = "Proceedings of MT Summit XVI: Vol.1 Research Track",

note = "Machine Translation Summit XVI 2017, MT XVI 2017 ; Conference date: 18-09-2017 Through 22-09-2017",

url = "http://www.eamt.org/news/news_cfp_mts2017.php",

}

Kamila, S, Sen, S, Hasanuzzaman, M, Ekbal, A, Way, A & Bhattacharyya, P 2017, Temporality as Seen through Translation: A Case Study on Hindi Texts. in S Kurohashi & P Fun (eds), Proceedings of MT Summit XVI: Vol.1 Research Track. pp. 324-336, Machine Translation Summit XVI 2017, Nagoya, Japan, 18/09/17. <http://aamt.info/app-def/S-102/mtsummit/2017/conference-proceedings/>

TY - GEN

T1 - Temporality as Seen through Translation: A Case Study on Hindi Texts

AU - Kamila, Sabyasachi

AU - Sen, Sukanta

AU - Hasanuzzaman, Mohammad

AU - Ekbal, Asif

AU - Way, Andy

AU - Bhattacharyya, Pushpak

PY - 2017/9/18

Y1 - 2017/9/18

N2 - 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.

AB - 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.

M3 - Conference contribution

SP - 324

EP - 336

BT - Proceedings of MT Summit XVI: Vol.1 Research Track

A2 - Kurohashi, Sadao

A2 - Fun, Pascale

T2 - Machine Translation Summit XVI 2017

Y2 - 18 September 2017 through 22 September 2017

ER -