Language Learnability Analysis of Hindi: A Comparison with Ideal and Constrained Learning Approaches

Author:

Saini SandeepORCID,Sahula Vineet

Publisher

Springer Science and Business Media LLC

Subject

General Psychology,Linguistics and Language,Language and Linguistics,Experimental and Cognitive Psychology

Reference29 articles.

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2. Bojar, O., Diatka, V., Rychlỳ, P., Stranák, P., Suchomel, V., Tamchyna, A., & Zeman, D. (2014). Hindencorp-hindi-english and hindi-only corpus for machine translation. In LREC (pp. 3550–3555).

3. Clark, R. A. J., Richmond, K., & King, S. (2007). Multisyn: Open-domain unit selection for the festival speech synthesis system. Speech Communication, 49(4), 317–330.

4. Cognition Institute for Language and Indic Multi-parallel Corpus Computation, University of Edinburgh (2011). http://homepages.inf.ed.ac.uk/miles/babel.html .

5. Eddington, D., Treiman, R., & Elzinga, D. (2013). Syllabification of american english: Evidence from a large-scale experiment. Part ii. Journal of Quantitative Linguistics, 20(2), 75–93.

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1. Language learnability analysis of Hindi: a comparison with ideal and constrained learning approaches;Cognitive Informatics, Computer Modelling, and Cognitive Science;2020

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