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Amid a deluge of research into speech translation, many of the world’s leading technology companies are teaming up with academia to accelerate progress in this challenging field of language AI.
Sign-to-spoken language machine translation research using a purpose-built dataset and an intermediate notation system reveals improvements in multilingual target text outputs.
Enterprise generative AI company Writer, Inc. completes a Series B round of funding, securing USD 100m from seven investors; plans to expand industry-specific LLMs.
KAIST and Google DeepMind researchers propose training a single model using Unit-to-Unit Translation to achieve seamless cross-language communication.
Text recognition-turned-detective uncovered a missing play by Lope de Vega. But the benefits of better handwriting recognition go beyond the history books.
At Apple’s annual online conference, BERT features in a new update to Create ML app, giving developers access to 27 languages that use Latin, Cyrillic, and certain Asian scripts.
A group of researchers at Google found that realistic dialogues with no translation and structured context are needed to optimize virtual assistants’ performance.
Nikola Nikolov on the evolution of large language models, their potential and limitations, the pros and cons of API-based apps, and why specialized machine translation providers retain their edge.
Natural language processing (NLP) software startup NuMind has raised USD 3m to help companies create custom machine learning (ML) models for a range of NLP tasks.
The Slator Language AI 50 Under 50 List puts the spotlight on fifty of the newest players in the language AI and technology landscape, including AI dubbing, AI writing, and voice AI.
Researchers test BLOOM’s capabilities for producing good quality machine translation. They find that training the large language model makes a big difference for all language pairs.
Google launches a new dataset and benchmark to address the lack of region-awareness in machine translation (MT) systems and support under-resourced dialects.
Ai-Media’s H1 FY23 revenues remain flat while gross profit is up by 13% and automated captioning minutes increase 105%.
Researchers at Microsoft conduct experiments comparing large language model GPT to other MT systems. One GPT stands out with high-resource languages. None do with low-resource languages.
Meta AI researchers experimented with dictionary data prompting on known LLMs in order to improve MT. Results look promising for rare words and domain transfer.
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