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07/31/2023
SelfSeg: A Self-supervised Sub-word Segmentation Method for Neural Machine Translation
Sub-word segmentation is an essential pre-processing step for Neural Mac...
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07/27/2023
Turning Whisper into Real-Time Transcription System
Whisper is one of the recent state-of-the-art multilingual speech recogn...
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06/06/2023
SciCap+: A Knowledge Augmented Dataset to Study the Challenges of Scientific Figure Captioning
In scholarly documents, figures provide a straightforward way of communi...
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05/26/2023
Robustness of Multi-Source MT to Transcription Errors
Automatic speech translation is sensitive to speech recognition errors, ...
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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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05/23/2023
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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05/22/2023
Decomposed Prompting for Machine Translation Between Related Languages using Large Language Models
This study investigates machine translation between related languages i....
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05/17/2023
Variable-length Neural Interlingua Representations for Zero-shot Neural Machine Translation
The language-independency of encoded representations within multilingual...
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05/16/2023
Exploring the Impact of Layer Normalization for Zero-shot Neural Machine Translation
This paper studies the impact of layer normalization (LayerNorm) on zero...
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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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04/19/2023
An Empirical Study of Leveraging Knowledge Distillation for Compressing Multilingual Neural Machine Translation Models
Knowledge distillation (KD) is a well-known method for compressing neura...
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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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11/16/2022
MT Metrics Correlate with Human Ratings of Simultaneous Speech Translation
There have been several studies on the correlation between human ratings...
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06/06/2022
MorisienMT: A Dataset for Mauritian Creole Machine Translation
In this paper, we describe MorisienMT, a dataset for benchmarking machin...
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04/26/2022
When do Contrastive Word Alignments Improve Many-to-many Neural Machine Translation?
Word alignment has proven to benefit many-to-many neural machine transla...
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04/11/2022
Fusion of Self-supervised Learned Models for MOS Prediction
We participated in the mean opinion score (MOS) prediction challenge, 20...
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12/16/2021
Harnessing Cross-lingual Features to Improve Cognate Detection for Low-resource Languages
Cognates are variants of the same lexical form across different language...
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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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08/25/2021
YANMTT: Yet Another Neural Machine Translation Toolkit
In this paper we present our open-source neural machine translation (NMT...
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06/18/2021
Recurrent Stacking of Layers in Neural Networks: An Application to Neural Machine Translation
In deep neural network modeling, the most common practice is to stack a ...
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04/15/2021
Simultaneous Multi-Pivot Neural Machine Translation
Parallel corpora are indispensable for training neural machine translati...
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09/20/2020
Softmax Tempering for Training Neural Machine Translation Models
Neural machine translation (NMT) models are typically trained using a so...
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05/07/2020
JASS: Japanese-specific Sequence to Sequence Pre-training for Neural Machine Translation
Neural machine translation (NMT) needs large parallel corpora for state-...
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02/20/2020
Balancing Cost and Benefit with Tied-Multi Transformers
We propose and evaluate a novel procedure for training multiple Transfor...
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01/23/2020
Pre-training via Leveraging Assisting Languages and Data Selection for Neural Machine Translation
Sequence-to-sequence (S2S) pre-training using large monolingual data is ...
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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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12/26/2019
Coursera Corpus Mining and Multistage Fine-Tuning for Improving Lectures Translation
Lectures translation is a case of spoken language translation and there ...
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08/27/2019
Multi-Layer Softmaxing during Training Neural Machine Translation for Flexible Decoding with Fewer Layers
This paper proposes a novel procedure for training an encoder-decoder ba...
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07/06/2019
Exploiting Out-of-Domain Parallel Data through Multilingual Transfer Learning for Low-Resource Neural Machine Translation
This paper proposes a novel multilingual multistage fine-tuning approach...
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06/19/2019
Multilingual Multi-Domain Adaptation Approaches for Neural Machine Translation
In this paper, we propose two novel methods for domain adaptation for th...
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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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07/14/2018
Recurrent Stacking of Layers for Compact Neural Machine Translation Models
In Neural Machine Translation (NMT), the most common practice is to stac...
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10/03/2017
MMCR4NLP: Multilingual Multiway Corpora Repository for Natural Language Processing
Multilinguality is gradually becoming ubiquitous in the sense that more ...
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02/20/2017
Enabling Multi-Source Neural Machine Translation By Concatenating Source Sentences In Multiple Languages
In this paper, we propose a novel and elegant solution to "Multi-Source ...
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01/12/2017
