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20212023
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cs.CL2023

Exploring Methods for Cross-lingual Text Style Transfer: The Case of Text Detoxification

Daryna Dementieva, Daniil Moskovskiy, David Dale +1

Text detoxification is the task of transferring the style of text from toxic to neutral. While here are approaches yielding promising results in monolingual setup, e.g., (Dale et a…

cs.CL2023

SpeechAlign: a Framework for Speech Translation Alignment Evaluation

Belen Alastruey, Aleix Sant, Gerard I. Gállego +2

Speech-to-Speech and Speech-to-Text translation are currently dynamic areas of research. In our commitment to advance these fields, we present SpeechAlign, a framework designed to…

cs.CL2023

Don't lose the message while paraphrasing: A study on content preserving style transfer

Nikolay Babakov, David Dale, Ilya Gusev +2

Text style transfer techniques are gaining popularity in natural language processing allowing paraphrasing text in the required form: from toxic to neural, from formal to informal,…

cs.CL202314 cited

SeamlessM4T: Massively Multilingual & Multimodal Machine Translation

Seamless Communication, Loïc Barrault, Yu-An Chung +65

What does it take to create the Babel Fish, a tool that can help individuals translate speech between any two languages? While recent breakthroughs in text-based models have pushed…

cs.CL2023

HalOmi: A Manually Annotated Benchmark for Multilingual Hallucination and Omission Detection in Machine Translation

David Dale, Elena Voita, Janice Lam +6

Hallucinations in machine translation are translations that contain information completely unrelated to the input. Omissions are translations that do not include some of the input…

cs.CL2022

The first neural machine translation system for the Erzya language

David Dale

We present the first neural machine translation system for translation between the endangered Erzya language and Russian and the dataset collected by us to train and evaluate it. T…