Search Results for author:
Found 7 papers, 4 papers with code
On the Role of Speech Data in Reducing Toxicity Detection Bias
Text toxicity detection systems exhibit significant biases, producing disproportionate rates of false positives on samples mentioning demographic groups.
The Multiple Dimensions of Spuriousness in Machine Learning
Learning correlations from data forms the foundation of today's machine learning (ML) and artificial intelligence (AI) research.
Towards Privacy-Aware Sign Language Translation at Scale
A major impediment to the advancement of sign language translation (SLT) is data scarcity.
Ranked #1 on
Gloss-free Sign Language Translation
on How2Sign
(using extra training data)
Gloss-free Sign Language Translation
Sign Language Translation
+1
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.
automatic-speech-translation
Multimodal Machine Translation
+2
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
Speech-to-Speech Translation
on CVSS
(using extra training data)
Automatic Speech Recognition
Speech-to-Speech Translation
+4
Prompting Multilingual Large Language Models to Generate Code-Mixed Texts: The Case of South East Asian Languages
While code-mixing is a common linguistic practice in many parts of the world, collecting high-quality and low-cost code-mixed data remains a challenge for natural language processing (NLP) research.
No Language Left Behind: Scaling Human-Centered Machine Translation
Driven by the goal of eradicating language barriers on a global scale, machine translation has solidified itself as a key focus of artificial intelligence research today.
Ranked #1 on
Machine Translation
on IWSLT2017 French-English
(SacreBLEU metric)
