Search Results for author: Sivaji yopadhyay

Found 37 papers, 0 papers with code

WAT2019: English-Hindi Translation on Hindi Visual Genome Dataset

no code implementations WS 2019 Loitongbam Sanayai Meetei, Thoudam Doren Singh, B, Sivaji yopadhyay

In this paper, we carried out an extensive comparison to evaluate the benefits of using a multimodal approach on translating text in English to a low resource language, Hindi as a part of WAT2019 shared task.

Caption Generation Translation

English to Hindi Multi-modal Neural Machine Translation and Hindi Image Captioning

no code implementations WS 2019 Sahinur Rahman Laskar, Rohit Pratap Singh, Partha Pakray, B, Sivaji yopadhyay

With the widespread use of Machine Trans-lation (MT) techniques, attempt to minimizecommunication gap among people from di-verse linguistic backgrounds.

Hindi Image Captioning Machine Translation +2

Neural Machine Translation: Hindi-Nepali

no code implementations WS 2019 Sahinur Rahman Laskar, Partha Pakray, B, Sivaji yopadhyay

Also, we have achieved BLEU score 53. 7 (Hindi to Nepali) and 49. 1 (Nepali to Hindi) in contrastive system type.

Machine Translation NMT +1

BUCC2017: A Hybrid Approach for Identifying Parallel Sentences in Comparable Corpora

no code implementations WS 2017 Sainik Mahata, Dipankar Das, B, Sivaji yopadhyay

A Statistical Machine Translation (SMT) system is always trained using large parallel corpus to produce effective translation.

Machine Translation Sentence +1

Multimodal Mood Classification - A Case Study of Differences in Hindi and Western Songs

no code implementations COLING 2016 Braja Gopal Patra, Dipankar Das, B, Sivaji yopadhyay

Finally, we developed mood classification systems using Support Vector Machines and Feed Forward Neural Networks based on the features collected from audio, lyrics, and a combination of both.

Classification feature selection +4

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