Multilingual Subjectivity Analysis Using Machine Translation

Description:

This paper discusses multilingual subjectivity analysis using machine translation.

Creator(s):
Creation Date: October 2008
Partner(s):
UNT College of Engineering
Collection(s):
UNT Scholarly Works
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Creator (Author):
Banea, Carmen

University of North Texas

Creator (Author):
Mihalcea, Rada, 1974-

University of North Texas

Creator (Author):
Wiebe, Janyce M.

University of Pittsburgh

Creator (Author):
Hassan, Samer

University of North Texas

Date(s):
  • Creation: October 2008
Description:

This paper discusses multilingual subjectivity analysis using machine translation.

Degree:
Note:

Abstract: Although research in other languages is increasing, much of the work in subjectivity analysis has been applied to English data, mainly due to the large body of electronic resources and tools that are available for this language. In this paper, the authors propose and evaluate methods that can be employed to transfer a repository of subjectivity resources across languages. Specifically, the authors attempt to leverage on the resources available for English and, by employing machine translation, generate resources for subjectivity analysis in other languages. Through comparative evaluations on two different languages (Romanian and Spanish), the authors show that automatic translation is a viable alternative for the construction of resources and tools for subjectivity analysis in a new target language.

Physical Description:

9 p.

Language(s):
Subject(s):
Keyword(s): subjectivity analysis | machine translations | automatic translation
Source: Conference on Empirical Methods in Natural Language Processing (EMNLP), 2008, Honolulu, Hawaii, United States
Contributor(s):
Partner:
UNT College of Engineering
Collection:
UNT Scholarly Works
Identifier:
  • ARK: ark:/67531/metadc31007
Resource Type: Paper
Format: Text
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Access: Public