Dependency Parsing in Bangla

Author:

Garain Utpal1,De Sankar2

Affiliation:

1. Indian Statistical Institute, India

2. Gupta College of Technological Sciences, India

Abstract

A grammar-driven dependency parsing has been attempted for Bangla (Bengali). The free-word order nature of the language makes the development of an accurate parser very difficult. The Paninian grammatical model has been used to tackle the free-word order problem. The approach is to simplify complex and compound sentences and then to parse simple sentences by satisfying the Karaka demands of the Demand Groups (Verb Groups). Finally, parsed structures are rejoined with appropriate links and Karaka labels. The parser has been trained with a Treebank of 1000 annotated sentences and then evaluated with un-annotated test data of 150 sentences. The evaluation shows that the proposed approach achieves 90.32% and 79.81% accuracies for unlabeled and labeled attachments, respectively.

Publisher

IGI Global

Reference19 articles.

1. Begum, R., Husain, S., Sharma, D. M., & Bai, L. (2008b). Developing verb frames for Hindi. In Proceedings of LREC-2008. LREC.

2. Begum, R., Husain, S., Sharma, D. M., Bai, L., & Sangal, R. (2008a). Dependency annotation scheme for Indian languages. In Proceedings of IJCNLP-2008. IJCNLP.

3. Bharati, A., Husain, S., Ambati, B., Jain, S., Sharma, D. M., & Sangal, R. (2008a). Two semantic features make all the difference in parsing accuracy. In Proceedings of the 6th International Conference on Natural Language Processing (ICON-08). CDAC.

4. Bharati, A., Husain, S., Sharma, D. M., & Sangal, R. (2008b). A two-stage constraint based dependency parser for free word order languages. In Proceedings of the International Conference on Asian Language Processing (IALP). Chiang Mai, Thailand: IALP.

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2. A Supervised Framework for Classifying Dependency Relations from Bengali Shallow Parsed Sentences;Mining Intelligence and Knowledge Exploration;2015

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