Anand Kumar M
ABSTRACT
The growth of digital platforms enables the industries to serve user specific services. Most of the time, the information of the internet users are not explicitly available and it acts as a constrain in developing the personalized applications. There comes the need for author profiling tasks, which intends to predict the internet users characteristics from their texts. Native language Identification is one among the author profiling task, that predicts the authors native language from their texts available in other language. We have proposed Indian Native Language Identification task, where the internet users texts are written in English and participants needs to find, whether the user's native language is from Tamil, Malayalam, Kannada, Telugu, Bengali and Hindi. The corpus is collected from texts from regional news paper pages available in Facebook by considering the hypothesis that the user belongs to a particular region will read the news from respective regional news paper.
- M Anand Kumar, Barathi Ganesh HB, Shivkaran Singh, KP Soman, and Paolo Rosso. {n. d.}. Overview of the INLI PAN at FIRE-2017 Track on Indian Native Language Identification. ({n. d.}).Google Scholar
- Kunal Chakma and Amitava Das. 2016. Cmir: A corpus for evaluation of code mixed information retrieval of hindi-english tweets. Computatión y Sistemas 20, 3 (2016), 425--434.Google Scholar
- Anupam Jamatia, Björn Gambäck, and Amitava Das. 2016. Collecting and Annotating Indian Social Media Code-Mixed Corpora. In International Conference on Intelligent Text Processing and Computational Linguistics. Springer, 406--417.Google Scholar
- Aditya Joshi, Ameya Prabhu, Manish Shrivastava, and Vasudeva Varma. 2016. Towards sub-word level compositions for sentiment analysis of hindi-english code mixed text. In Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers. 2482--2491.Google Scholar
- Sue Knight. 2002. NLP at work: the difference that makes the difference in business. Nicholas Brealey London.Google Scholar
- Shervin Malmasi, Keelan Evanini, Aoife Cahill, Joel Tetreault, Robert Pugh, Christopher Hamill, Diane Napolitano, and Yao Qian. 2017. A report on the 2017 native language identification shared task. In Proceedings of the 12th Workshop on Innovative Use of NLP for Building Educational Applications. 62--75.Google ScholarCross Ref
- JG Phillips and Alex Blaszczynski. 2010. Gambling and the Impact of New and Emerging Technologies and Associated Products, Tender No 119/06, Final Report-August 2010. Gambling Research Australia.Google Scholar
- Francisco Rangel, Paolo Rosso, Irina Chugur, Martin Potthast, Martin Trenkmann, Benno Stein, Ben Verhoeven, and Walter Daelemans. 2014. Overview of the 2nd author profiling task at pan 2014. In CLEF 2014 Evaluation Labs and Workshop Working Notes Papers, Sheffield, UK, 2014. 1--30.Google Scholar
- Francisco Rangel, Paolo Rosso, Moshe Koppel, Efstathios Stamatatos, and Giacomo Inches. 2013. Overview of the author profiling task at PAN 2013. In CLEF Conference on Multilingual and Multimodal Information Access Evaluation. CELCT, 352--365.Google Scholar
- Francisco Rangel, Paolo Rosso, Martin Potthast, and Benno Stein. 2017. Overview of the 5th author profiling task at pan 2017: Gender and language variety identification in twitter. Working Notes Papers of the CLEF (2017).Google Scholar
- Francisco Manuel Rangel Pardo, Fabio Celli, Paolo Rosso, Martin Potthast, Benno Stein, and Walter Daelemans. 2015. Overview of the 3rd Author Profiling Task at PAN 2015. In CLEF 2015 Evaluation Labs and Workshop Working Notes Papers. 1--8.Google Scholar
- Björn W Schuller, Stefan Steidl, Anton Batliner, Julia Hirschberg, Judee K Burgoon, Alice Baird, Aaron C Elkins, Yue Zhang, Eduardo Coutinho, and Keelan Evanini. 2016. The INTERSPEECH 2016 Computational Paralinguistics Challenge: Deception, Sincerity & Native Language.. In Interspeech, Vol. 2016. 2001--2005.Google Scholar
- Joel Tetreault, Daniel Blanchard, and Aoife Cahill. 2013. A report on the first native language identification shared task. In Proceedings of the eighth workshop on innovative use of NLP for building educational applications. 48--57.Google Scholar
- Joel Tetreault, Daniel Blanchard, Aoife Cahill, and Martin Chodorow. 2012. Native tongues, lost and found: Resources and empirical evaluations in native language identification. Proceedings of COLING 2012 (2012), 2585--2602.Google Scholar
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