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20172026
most citedIndicBART: A Pre-trained Model for Indic Natural Language Generation

77 citations · 319 across the 61 of their papers we have counts for

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Showing 2023 · cs.CLShow all

12 papers · 2 filters

cs.CL2023

Bilingual Corpus Mining and Multistage Fine-Tuning for Improving Machine Translation of Lecture Transcripts

Haiyue Song, Raj Dabre, Chenhui Chu +2

Lecture transcript translation helps learners understand online courses, however, building a high-quality lecture machine translation system lacks publicly available parallel corpo…

cs.CL2023

CreoleVal: Multilingual Multitask Benchmarks for Creoles

Heather Lent, Kushal Tatariya, Raj Dabre +18

Creoles represent an under-explored and marginalized group of languages, with few available resources for NLP research.While the genealogical ties between Creoles and a number of h…

cs.CL2023★ 5 cited

SelfSeg: A Self-supervised Sub-word Segmentation Method for Neural Machine Translation

Haiyue Song, Raj Dabre, Chenhui Chu +2

Sub-word segmentation is an essential pre-processing step for Neural Machine Translation (NMT). Existing work has shown that neural sub-word segmenters are better than Byte-Pair En…

cs.CL2023★ 7 cited

Turning Whisper into Real-Time Transcription System

Dominik Macháček, Raj Dabre, Ondřej Bojar

Whisper is one of the recent state-of-the-art multilingual speech recognition and translation models, however, it is not designed for real time transcription. In this paper, we bui…

cs.CL2023

Robustness of Multi-Source MT to Transcription Errors

Dominik Macháček, Peter Polák, Ondřej Bojar +1

Automatic speech translation is sensitive to speech recognition errors, but in a multilingual scenario, the same content may be available in various languages via simultaneous inte…

cs.CL2023

Variable-length Neural Interlingua Representations for Zero-shot Neural Machine Translation

Zhuoyuan Mao, Haiyue Song, Raj Dabre +2

The language-independency of encoded representations within multilingual neural machine translation (MNMT) models is crucial for their generalization ability on zero-shot translati…