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05/25/2023
IndicTrans2: Towards High-Quality and Accessible Machine Translation Models for all 22 Scheduled Indian Languages
India has a rich linguistic landscape with languages from 4 major langua...
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05/25/2023
Bhasha-Abhijnaanam: Native-script and romanized Language Identification for 22 Indic languages
We create publicly available language identification (LID) datasets and ...
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05/23/2023
In-context Example Selection for Machine Translation Using Multiple Features
Large language models have demonstrated the capability to perform well o...
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05/12/2023
A Comprehensive Analysis of Adapter Efficiency
Adapters have been positioned as a parameter-efficient fine-tuning (PEFT...
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05/09/2023
Utilizing Lexical Similarity to Enable Zero-Shot Machine Translation for Extremely Low-resource Languages
We address the task of machine translation from an extremely low-resourc...
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12/20/2022
IndicMT Eval: A Dataset to Meta-Evaluate Machine Translation metrics for Indian Languages
The rapid growth of machine translation (MT) systems has necessitated co...
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12/20/2022
Naamapadam: A Large-Scale Named Entity Annotated Data for Indic Languages
We present, Naamapadam, the largest publicly available Named Entity Reco...
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12/11/2022
IndicXTREME: A Multi-Task Benchmark For Evaluating Indic Languages
In this work, we introduce IndicXTREME, a benchmark consisting of nine d...
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08/26/2022
Effectiveness of Mining Audio and Text Pairs from Public Data for Improving ASR Systems for Low-Resource Languages
End-to-end (E2E) models have become the default choice for state-of-the-...
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08/24/2022
IndicSUPERB: A Speech Processing Universal Performance Benchmark for Indian languages
A cornerstone in AI research has been the creation and adoption of stand...
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05/06/2022
Aksharantar: Towards building open transliteration tools for the next billion users
We introduce Aksharantar, the largest publicly available transliteration...
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11/06/2021
Towards Building ASR Systems for the Next Billion Users
Recent methods in speech and language technology pretrain very LARGE mod...
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10/14/2021
An Empirical Investigation of Multi-bridge Multilingual NMT models
In this paper, we present an extensive investigation of multi-bridge, ma...
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09/07/2021
IndicBART: A Pre-trained Model for Natural Language Generation of Indic Languages
In this paper we present IndicBART, a multilingual, sequence-to-sequence...
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07/01/2021
A Primer on Pretrained Multilingual Language Models
Multilingual Language Models (MLLMs) such as mBERT, XLM, XLM-R, etc. hav...
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06/06/2021
Itihasa: A large-scale corpus for Sanskrit to English translation
This work introduces Itihasa, a large-scale translation dataset containi...
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04/12/2021
Samanantar: The Largest Publicly Available Parallel Corpora Collection for 11 Indic Languages
We present Samanantar, the largest publicly available parallel corpora c...
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04/30/2020
AI4Bharat-IndicNLP Corpus: Monolingual Corpora and Word Embeddings for Indic Languages
We present the IndicNLP corpus, a large-scale, general-domain corpus con...
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04/20/2020
Learning Geometric Word Meta-Embeddings
We propose a geometric framework for learning meta-embeddings of words f...
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03/19/2020
Utilizing Language Relatedness to improve Machine Translation: A Case Study on Languages of the Indian Subcontinent
In this work, we present an extensive study of statistical machine trans...
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01/04/2020
A Comprehensive Survey of Multilingual Neural Machine Translation
We present a survey on multilingual neural machine translation (MNMT), w...
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05/14/2019
A Survey of Multilingual Neural Machine Translation
We present a survey on multilingual neural machine translation (MNMT), w...
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11/01/2018
Addressing word-order Divergence in Multilingual Neural Machine Translation for extremely Low Resource Languages
Transfer learning approaches for Neural Machine Translation (NMT) train ...
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10/03/2018
McTorch, a manifold optimization library for deep learning
In this paper, we introduce McTorch, a manifold optimization library for...
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08/27/2018
Learning Multilingual Word Embeddings in Latent Metric Space: A Geometric Approach
We propose a novel geometric approach for learning bilingual mappings gi...
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08/27/2018
Learning Multilingual Word Embeddings in a Latent Metric Space: A Geometric Approach
We propose a novel geometric approach for learning bilingual mappings gi...
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10/08/2017
The IIT Bombay English-Hindi Parallel Corpus
We present the IIT Bombay English-Hindi Parallel Corpus. The corpus is a...
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02/23/2017
Utilizing Lexical Similarity between Related, Low-resource Languages for Pivot-based SMT
We investigate pivot-based translation between related languages in a lo...
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11/01/2016
Faster decoding for subword level Phrase-based SMT between related languages
A common and effective way to train translation systems between related ...
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10/20/2016
Learning variable length units for SMT between related languages via Byte Pair Encoding
We explore the use of segments learnt using Byte Pair Encoding (referred...
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10/03/2016
