References
[1]. Babu, V. J.,&Baskaran, S. (2005, February). Automatic
language identification using multivariate analysis. In
International Conference on Intelligent Text Processing
and Computational Linguistics, (pp. 789-792). Springer,
Berlin, Heidelberg.https://doi.org/10.1007/978-3-540-30586-6_89
[2]. Cavnar, W. B., &Trenkle, J. M. (1994, April). N-grambased
text categorization. In Proceedings of SDAIR-94,
3rd Annual Symposium on Document Analysis and
Information Retrieval, (Vol. 161175).
[3]. Dunning, T. (1994). Statistical Identification of
Language (pp. 940-273). Las Cruces: Computing
Research Laboratory, New Mexico State University.
Retrieved form https://www.researchgate.net/profile/Ted-Dunning/publication/2263394_Statistical_Identification_
of_Language/links/0deec51cb2675ae546000000/Statistical-Identification-of-Language.pdf
[4]. Gadgil, A., Joshi, S., Katwe, P., & Kshatriya, P. (2018).
Automatic language identification using hybrid
approach and classification algorithms.International
Research Journal of Engineering and Technology, 5(3), 3178-3181.
[5]. Gazeau, V., &Varol, C. (2018). Automatic spoken
language recognition with neural networks. I.J.
Information Technology and Computer Science, 10(8), 11-17. https://doi.org/10.5815/ijitcs.2018.08.02
[6]. Giguet, E. (1995, September). Categorization
according to language: A step toward combining
linguistic knowledge and statistic learning. In International
Workshop of Parsing Technologies (IWPT'95).
[7]. Gold, E. M. (1967). Language identification in the limit.
Information and Control, 10(5), 447-474. https://doi.org/10.1016/S0019-9958(67)91165-5
[8]. Grefenstette, G. (1995, December). Comparing two
language identification schemes. In Proceedings of JADT,
95, 263–268.
[9]. Johnson, S. (1993). Solving the Problem of Language
Recognition. Technical Report, School of Computer
Studies.
[10]. Kanaris, I., Kanaris, K., Houvardas, I., &Stamatatos,
E. (2006). Words versus characters n-grams for anti-spam
filtering. International Journal on Artificial Intelligence
Tools, 16(6), 1047-1067. https://doi.org/10.1142/S0218213007003692
[11]. Lins, R. D., & Gonçalves, P. (2004, March). Automatic
language identification of written texts. In Proceedings of
the 2004 ACM Symposium on Applied Computing, (pp.
1128-1133). https://doi.org/10.1145/967900.968129
[12]. Malato, G. (2020, October 8). An Efficient Language
Detection Model using Naive Bayes; a Simple Language
Detection Model in Python, Retrieved from https://towardsdatascience.com/an-efficient-language-detectionmodel-using-naive-bayes-85d02b51cfbd
[13]. Muthusamy, Y. K. (1993). A Segmental Approach to
Automatic Language Identification. (Doctoral dissertation).
Oregon Graduate Identification of Science and
Technology, Portland, Oregon, USA.
[14]. Qafmolla, N. (2017). Automatic language
identification. European Journal of Language and
Literature, 3(1), 140-150. https://doi.org/10.26417/ejls.v7i1.p140-150
[15]. Rahmoun, A., & Elberrichi, Z. (2007). Experimenting
n-grams in text categorization. International Arab Journal
of Information Technology, 4(4), 377-385.
[16]. Shanmugam, D. C. (2017, October 30). How Redbus uses Scikit-Learn ML Models to Classify Customer
Complaints? Retrieved form https://medium.com/redbus-in/how-to-deploy-scikit-learn-ml-models-d390b4b8ce7a