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Pivot Based Transfer Learning for Neural Machine Translation: CFILT IITB @ WMT 2021 Triangular MT
Such a large amount of parallel corpus is majorly available for language pairs which include English and not for non-English language pairs.
Multilingual Machine Translation Systems at WAT 2021: One-to-Many and Many-to-One Transformer based NMT
In this paper, we present the details of the systems that we have submitted for the WAT 2021 MultiIndicMT: An Indic Language Multilingual Task.
Multiple Pivot Languages and Strategic Decoder Initialization Helps Neural Machine Translation
In pivot-based transfer learning, the source to pivot and the pivot to target models are used to improve the performance of the source to target model.
Neural Machine Translation in Low-Resource Setting: a Case Study in English-Marathi Pair
Techniques such as Phrase Table Injection (PTI) and back-translation and mixing of language corpora are used for enhancing the parallel data; whereas pivoting and multilingual embeddings are used to leverage transfer learning.
Evaluating the Performance of Back-translation for Low Resource English-Marathi Language Pair: CFILT-IITBombay @ LoResMT 2021
In this paper, we discuss the details of the various Machine Translation (MT) systems that we have submitted for the English-Marathi LoResMT task.
VAKTA-SETU: A Speech-to-Speech Machine Translation Service in Select Indic Languages
In this work, we present our deployment-ready Speech-to-Speech Machine Translation (SSMT) system for English-Hindi, English-Marathi, and Hindi-Marathi language pairs.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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