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Found 6 papers, 1 papers with code
Language Model Pretraining and Transfer Learning for Very Low Resource Languages
This paper describes our submission for the shared task on Unsupervised MT and Very Low Resource Supervised MT at WMT 2021.
Language Relatedness and Lexical Closeness can help Improve Multilingual NMT: IITBombay@MultiIndicNMT WAT2021
Multilingual Neural Machine Translation has achieved remarkable performance by training a single translation model for multiple languages.
HiNER: A Large Hindi Named Entity Recognition Dataset
We use different language models to perform the sequence labelling task for NER and show the efficacy of our data by performing a comparative evaluation with models trained on another dataset available for the Hindi NER task.
Ranked #1 on
Named Entity Recognition (NER)
on HiNER-original
Filtering Back-Translated Data in Unsupervised Neural Machine Translation
Our approach gives more weight to good pseudo parallel sentence pairs in the back-translation phase.
Generating Fluent Translations from Disfluent Text Without Access to Fluent References: IIT Bombay@IWSLT2020
We also make use of additional fluent text in the target language to help generate fluent translations.
Utilizing Monolingual Data in NMT for Similar Languages: Submission to Similar Language Translation Task
This paper describes our submission to Shared Task on Similar Language Translation in Fourth Conference on Machine Translation (WMT 2019).
