Abstract
Automated Parts of Speech Tagging plays a vital role in the natural language processing. For computational Bangla Language Processing, we do not have large-scale Parts of Speech tagged corpus. There are two basic approaches to implement a corpus, by written rules or automated. To implement a rule-based corpus, we need experts in Bangla linguistics and it is also time-consuming. And for the automated corpus, we need a trained corpus, which is currently not available. Crowdsourcing can be served a vital role to fulfill these two requirements. So, in this paper, we proposed a crowd source-based approach to building Bangla Parts of Speech tagged corpus. We have used a standard tag set for Bangla. Raw documents are collected from various newspapers, books, and online site. We first give some example of Parts of Speech and then provide data to people for crowdsourcing. Finally, we analyze the result of the data, and its accuracy is 95%.
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Pipilika is the first Bangla search engine developed by the students of Shahjalal University of Science and Technology.
References
Quinn, A.J., Bederson, B.B.: Human computation: a survey and taxonomy of a growing field. In: Proceedings of the SIGCHI conference on human factors in computing systems. ACM (2011)
Gordon, J., Van Durme, B., Schubert, L.K.: Evaluation of commonsense knowledge with Mechanical Turk. In: Proceedings of the NAACL HLT 2010 Workshop on Creating Speech and Language Data with Amazon’s Mechanical Turk. Association for Computational Linguistics (2010)
Gao, Q., Vogel, S.: Consensus versus expertise: a case study of word alignment with mechanical turk. In: Proceedings of the NAACL HLT 2010 Workshop on Creating Speech and Language Data with Amazon’s Mechanical Turk. Association for Computational Linguistics (2010)
Jha, M., et al.: Corpus creation for new genres: a crowdsourced approach to PP attachment. In: Proceedings of the NAACL HLT 2010 Workshop on Creating Speech and Language Data with Amazon’s Mechanical Turk. Association for Computational Linguistics (2010)
Parent, G., Eskenazi, M.: Clustering dictionary definitions using amazon mechanical turk.. In: Proceedings of the NAACL HLT 2010 Workshop on Creating Speech and Language Data with Amazon’s Mechanical Turk. Association for Computational Linguistics (2010)
Skory, A., Eskenazi, M.: Predicting cloze task quality for vocabulary training. In: Proceedings of the NAACL HLT 2010 Fifth Workshop on Innovative Use of NLP for Building Educational Applications. Association for Computational Linguistics (2010)
Akkaya, C., et al.: Amazon mechanical turk for subjectivity word sense disambiguation. In: Proceedings of the NAACL HLT 2010 Workshop on Creating Speech and Language Data with Amazon’s Mechanical Turk. Association for Computational Linguistics (2010)
Callison-Burch, C., Dredze, M.: Creating speech and language data with Amazon’s Mechanical Turk. In: Proceedings of the NAACL HLT 2010 Workshop on Creating Speech and Language Data with Amazon’s Mechanical Turk. Association for Computational Linguistics (2010)
Dr. Muhammad Zafar Iqbal, Rashed: My Friend, ISBN-984-437046-9
Niladri Sekhar Dash, POS tagset for Bangla Document, Microsoft Research India, Aug 2010
Categorizing and Tagging Words. http://www.nltk.org/book/ch05.html Cited 30 Aug 2017
Quick, Draw! https://quickdraw.withgoogle.com/, cited 30 Aug 2017
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Ehsan, S., Swarna, S.T., Ismail, S. (2019). A Crowdsource-Based Approach for Preparing Bangla POS Tagged Corpus. In: Abraham, A., Dutta, P., Mandal, J., Bhattacharya, A., Dutta, S. (eds) Emerging Technologies in Data Mining and Information Security. Advances in Intelligent Systems and Computing, vol 814. Springer, Singapore. https://doi.org/10.1007/978-981-13-1501-5_40
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DOI: https://doi.org/10.1007/978-981-13-1501-5_40
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