RNN based machine translation and transliteration for Twitter data

Author:

Vathsala M. K.ORCID,Holi Ganga

Publisher

Springer Science and Business Media LLC

Subject

Computer Vision and Pattern Recognition,Linguistics and Language,Human-Computer Interaction,Language and Linguistics,Software

Reference23 articles.

1. Al-muzaini, H. A., Al-yahya, T. N., & Benhidour, H. (2018). Automatic Arabic image captioning using RNN-LSTM-based language model and CNN. International Journal of Advanced Computer Science and Applications, 9, 6.

2. Ananthakrishnan, R., Bhattacharyya, P., Sasikumar, M., & Shah, R. M. (2006). Some issues in automatic evaluation of English-Hindi MT: more blues for BLEU. Proceedings of COLING/ACL 2006.

3. Beck, C. A. J., & Sales, B. D. (2001). Family mediation: Facts, myths, and future prospects (pp. 100–102). Washington, DC: American Psychological Association. https://doi.org/10.1037/10401-000.

4. Chelba, C., Mikolov, T., Schuster, M., Ge, Q., Brants, T., Koehn, P., & Robinson, T. (2013). One billion word benchmark for measuring progress in statistical language modeling. Retrieved from https://arxiv.org/abs/1312.3005.

5. Durrani, N., Sajjad, H., Fraser, A., & Schmid, H. (2010). Hindi-to-Urdu machine translation through transliteration. Stuttgart: Institute for Natural Language Processing, University of Stuttgart.

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