Abstract
A dialogue system is a computer system which is designed to converse with human beings in natural language (NL). A lot of work has been done to develop dialogue systems in regional languages. This paper presents an approach to build a dialogue system for resource poor languages. The approach comprises of two parts namely Data Management and Query Processing. Data Management deals with storing the data in a particular format which helps in easy and quick retrieval of requested information. Query Processing deals with producing a relevant system response for a user query. Our model can handle code-mixed queries which are very common in Indian languages and also handles context which is a major challenge in dialogue systems. It also handles spelling mistakes and a few grammatical errors. The model is domain and language independent. As there is no automated evaluation tool available for dialogue systems we went for human evaluation of our system, which was developed for Telugu language over ‘Tourist places of Hyderabad’ domain. 5 people evaluated our system and the results are reported in the paper.
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References
Akula, A.R., Sangal, R., Mamidi, R.: A novel approach towards incorporating context processing capabilities in nlidb system
Gupta, A., Akula, A., Malladi, D., Kukkadapu, P., Ainavolu, V., Sangal, R.: A novel approach towards building a portable nlidb system using the computational paninian grammar framework. In: 2012 International Conference on Asian Language Processing (IALP), pp. 93–96. IEEE (2012)
Hori, C., Ohtake, K., Misu, T., Kashioka, H., Nakamura, S.: Weighted finite state transducer based statistical dialog management. In: IEEE Workshop on Automatic Speech Recognition Understanding, ASRU 2009, pp. 490–495 (2009)
Nguyen, A., Wobcke, W.: An agent-based approach to dialogue management in personal assistants. In: Proceedings of the 10th International Conference on Intelligent User Interfaces, IUI 2005, pp. 137–144. ACM, New York (2005)
Nguyen, A., Wobcke, W.: Extensibility and reuse in an agent-based dialogue model. In: 2006 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology Workshops, WI-IAT 2006 Workshops, pp. 367–371. IEEE (2006)
Reddy, R.R.N., Bandyopadhyay, S.: Dialogue based question answering system in telugu. In: Proceedings of the Workshop on Multilingual Question Answering, MLQA 2006, pp. 53–60. Association for Computational Linguistics, Stroudsburg (2006)
Srirampur, S., Chandibhamar, R., Mamidi, R.: Statistical morph analyzer (sma++) for indian languages. In: COLING 2014, p. 103 (2014)
Mitkov, R.: Anaphora resolution: The state of the art. Technical report. University of Wolverhampton, Wolverhampton (1999)
Sandhi splitter and analyzer for Sanskrit(with special reference to aC sandhi), by Sachin kumar, thesis submitted to JNU special centre for Sanskrit (2007), http://sanskrit.jnu.ac.in/rstudents/mphil/sachin.pdf
Dalrymple, M., Shieber, S.M., Pereira, F.C.N.: Ellipsis and higher-order unification. Technical report, Computation and Language E-Print Archive (1991)
Brants, T.: TnT–A statistical part-of-speech tagger. In: Proceedings of the Sixth Applied Natural Language Processing Conference (ANLP 2000), pp. 224–231 (2000)
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Sravanthi, M.C., Prathyusha, K., Mamidi, R. (2015). A Dialogue System for Telugu, a Resource-Poor Language. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2015. Lecture Notes in Computer Science(), vol 9042. Springer, Cham. https://doi.org/10.1007/978-3-319-18117-2_27
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DOI: https://doi.org/10.1007/978-3-319-18117-2_27
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-18116-5
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