Anaphora Resolution in Arabic/English Machine Translation Systems: A Statistical, Knowledge-Poor Approach to Arabic Pronominal Anaphora Resolution - Softcover

Al-Sabbagh, Rania

Softcover

ISBN 10: 3838386841 ISBN 13: 9783838386843

Publisher: LAP LAMBERT Academic Publishing, 2010

Synopsis

Anaphora Resolution (AR) is the process of determining the antecedent of a given anaphor. The present book focuses on pronominal AR in Modern Standard Arabic (MSA) which is a crucially required task for many Natural Language Processing (NLP) applications, including but not limited to Machine Translation (MT). Current MT systems poorly handle anaphora resolution when working on Arabic-English translation or vice versa, given that anaphora resolution is one of the least studied issues in Arabic NLP due to the fact that AR requires many NLP morphological, semantic and syntactic tools and resources; many of which are not available for MSA. Motivated by the poor performance of current MT systems in terms of Arabic AR and the lack of sufficient NLP research on the issue, this book proposes a statistical, corpus-based approach to AR in MSA that successfully overcomes the major bottleneck of Arabic NLP, namely the lack of basic language processing tools and resources. Such an approach achieves a promising performance rate of 87.6% and sheds light on further future work which can significantly improve performance.

About this title

About the Author

Rania Al-Sabbagh is a PhD student at the Department of Linguistics, University of Illinois at Urbana-Champaign (UIUC). She is a winner of the Artificial Intelligence/Cognitive Science Award for 2010, the Beckman Institute, UIUC. Her research interests include computational semantics, pragmatics and discourse analysis for Arabic and its dialects.

Edition details

• Publisher: LAP LAMBERT Academic Publishing
• Publication date: 2010
• Language: English
• ISBN 10: 3838386841
• ISBN 13: 9783838386843
• Binding: Paperback
• Number of pages: 104