#NLP

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The World’s Biggest Companies Are Trying to Crack ‘Speech Translation’

Amid a deluge of research into speech translation, many of the world’s leading technology companies...

How SignBank+ Improves Multilingual Sign-to-Spoken Language Machine Translation

Sign-to-spoken language machine translation research using a purpose-built dataset and an intermediate notation system reveals...

Writer, Inc. Raises USD 100M in Series B Round

Enterprise generative AI company Writer, Inc. completes a Series B round of funding, securing USD...

Researchers Propose New Approach to Many-to-Many Spoken Language Translation

KAIST and Google DeepMind researchers propose training a single model using Unit-to-Unit Translation to achieve...

Unpacking the State-of-the-Art in Handwritten Text Recognition

Text recognition-turned-detective uncovered a missing play by Lope de Vega. But the benefits of better...

Apple Is Giving Developers a New Set of NLP Tools

At Apple’s annual online conference, BERT features in a new update to Create ML app,...

Realistic Dialogues, No Translation: Google Unveils Dataset for Virtual Assistant Training

A group of researchers at Google found that realistic dialogues with no translation and structured...

Inside the Large Language Model Revolution with Nikola Nikolov

Nikola Nikolov on the evolution of large language models, their potential and limitations, the pros...

NLP Startup NuMind Raises USD 3M in Seed Funding

Natural language processing (NLP) software startup NuMind has raised USD 3m to help companies create...

The Slator 2023 Language AI 50 Under 50 List

The Slator Language AI 50 Under 50 List puts the spotlight on fifty of the...

How Does Large Language Model BLOOM Perform for Machine Translation?

Researchers test BLOOM’s capabilities for producing good quality machine translation. They find that training the...

How Google Wants to Improve Evaluation of Low-Resource Dialect Machine Translation

Google launches a new dataset and benchmark to address the lack of region-awareness in machine...

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