Proceedings of the 2015 International Conference on Artificial Intelligence and Industrial Engineering

Effective Recognition and Statistic of Engagement Resources in Persian Discourses

Authors
W. Li, W.Y. Liu, M.Z. Yi
Corresponding Author
W. Li
Available Online July 2015.
DOI
10.2991/aiie-15.2015.5How to use a DOI?
Keywords
appraisal theory; engagement; automatic recognition and statistic; Persian discourses
Abstract

Appraisal theory has been focused on by more and more scholars because of its powerful function of analyzing interpersonal meanings, which not only pays attention to the contents and structure of discourses, but attaches more importance to speakers’ or writers’ attitude, stance and emotional tendency as well. Engagement, as one system of appraisal theory, is concerned with the sources of attitudes and different Engagement resources imply different attitudes and ideas of speakers or writers. Therefore, through interpreting the texts of different genres by means of Engagement, we can reveal the purpose and emotional tendency hidden behind the language. The paper offers an effective way of recognizing and calculating Engagement resources in Persian discourses in order to help the researchers in that field improve the efficiency of analysis.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2015 International Conference on Artificial Intelligence and Industrial Engineering
Series
Advances in Intelligent Systems Research
Publication Date
July 2015
ISBN
10.2991/aiie-15.2015.5
ISSN
1951-6851
DOI
10.2991/aiie-15.2015.5How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - W. Li
AU  - W.Y. Liu
AU  - M.Z. Yi
PY  - 2015/07
DA  - 2015/07
TI  - Effective Recognition and Statistic of Engagement Resources in Persian Discourses
BT  - Proceedings of the 2015 International Conference on Artificial Intelligence and Industrial Engineering
PB  - Atlantis Press
SP  - 13
EP  - 16
SN  - 1951-6851
UR  - https://doi.org/10.2991/aiie-15.2015.5
DO  - 10.2991/aiie-15.2015.5
ID  - Li2015/07
ER  -