Machine Translation System for Translation of Malayalam Morphological Causative Constructions into English Periphrastic Causative

Author:

Bijimol T. K.,Abraham John T.,Jyothi Ratnam D.

Publisher

Springer International Publishing

Reference24 articles.

1. Anju, E. S., & Manoj Kumar, K. V. (2014). Malayalam to English machine translation: An EBMT system. IOSR Journal of Engineering (IOSRJEN), 4(1). www.iosrjen.org .

2. Auersperger, M. (2012). English causative constructions with the verbs have, get, and make, and their Czech translation counterparts.

3. Banchs, R. E., D’Haro, L. F., & Li, H. (2015). Adequacy – Fluency metrics: Evaluating MT in the continuous space model framework. IEEE/ACM Transactions on Audio, Speech and Language Processing, 23(3), 472–482.

4. Begum, R., & Sharma, D. M. (2010). A preliminary work on Hindi causatives. In Proceedings of the eighth workshop on Asian language resources, pp. 120–128.

5. Bharati, A., Chaitanya, V., Sangal, R., & Ramakrishnamacharyulu, K. V. (1995). Natural language processing: A Paninian perspective (pp. 65–106). New Delhi: Prentice-Hall of India.

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2. An Automated Machine Learning NLP Model for Enhancing the Translation of English Causative Sentences into Malayalam Language;2023 Annual International Conference on Emerging Research Areas: International Conference on Intelligent Systems (AICERA/ICIS);2023-11-16

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