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Found 17 papers, 11 papers with code
ParaDetox: Detoxification with Parallel Data
To the best of our knowledge, these are the first parallel datasets for this task. We describe our pipeline in detail to make it fast to set up for a new language or domain, thus contributing to faster and easier development of new parallel resources. We train several detoxification models on the collected data and compare them with several baselines and state-of-the-art unsupervised approaches.
A large-scale computational study of content preservation measures for text style transfer and paraphrase generation
In both tasks, the system is supposed to generate a text which should be semantically similar to the input text.
Towards Red Teaming in Multimodal and Multilingual Translation
Assessing performance in Natural Language Processing is becoming increasingly complex.
MuTox: Universal MUltilingual Audio-based TOXicity Dataset and Zero-shot Detector
Research in toxicity detection in natural language processing for the speech modality (audio-based) is quite limited, particularly for languages other than English.
Seamless: Multilingual Expressive and Streaming Speech Translation
In this work, we introduce a family of models that enable end-to-end expressive and multilingual translations in a streaming fashion.
Exploring Methods for Cross-lingual Text Style Transfer: The Case of Text Detoxification
Text detoxification is the task of transferring the style of text from toxic to neutral.
Added Toxicity Mitigation at Inference Time for Multimodal and Massively Multilingual Translation
MinTox uses a toxicity detection classifier which is multimodal (speech and text) and works in languages at scale.
SpeechAlign: a Framework for Speech Translation Alignment Evaluation
To contribute to these fields, we present SpeechAlign, a framework to evaluate the underexplored field of source-target alignment in speech models.
SeamlessM4T: Massively Multilingual & Multimodal Machine Translation
What does it take to create the Babel Fish, a tool that can help individuals translate speech between any two languages?
Ranked #1 on
Machine Translation
on flores95-devtest eng-X
Automatic Speech Recognition
Speech-to-Speech Translation
+3
Don't lose the message while paraphrasing: A study on content preserving style transfer
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, from old to the modern English language, etc.
HalOmi: A Manually Annotated Benchmark for Multilingual Hallucination and Omission Detection in Machine Translation
Hallucinations in machine translation are translations that contain information completely unrelated to the input.
Detecting and Mitigating Hallucinations in Machine Translation: Model Internal Workings Alone Do Well, Sentence Similarity Even Better
We propose to use a method that evaluates the percentage of the source contribution to a generated translation.
The first neural machine translation system for the Erzya language
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.
Ranked #1 on
Machine Translation
on slone/myv_ru_2022 myv-ru
Studying the role of named entities for content preservation in text style transfer
Text style transfer techniques are gaining popularity in Natural Language Processing, finding various applications such as text detoxification, sentiment, or formality transfer.
Text Detoxification using Large Pre-trained Neural Models
We compare our models with a number of methods for style transfer.
SkoltechNLP at SemEval-2021 Task 5: Leveraging Sentence-level Pre-training for Toxic Span Detection
We show that fine-tuning a RoBERTa model for this problem is a strong baseline.
Methods for Detoxification of Texts for the Russian Language
We introduce the first study of automatic detoxification of Russian texts to combat offensive language.
