Spanish NLP Data Labeling Platform Argilla Raises USD 1.6M in Seed Funding
The open-source platform helps users build and refine datasets without hand-labeling training examples. Funding round co-led by Caixa Capital Risc and Zetta Venture Partners.
The open-source platform helps users build and refine datasets without hand-labeling training examples. Funding round co-led by Caixa Capital Risc and Zetta Venture Partners.
OpenAI disrupts the AI and LLM space once again with ChatGPT, reaching over one million users in just five days. See what the app told Slator about the language industry.
Researchers revisit controlled language as a means of improving MT quality. A new methodology based on stylistic quality is said to eliminate repeated fine tuning.
MIT neuroscientist Ev Fedorenko on the origin of language, the relationship between language and thought, and how language processing differs between humans and computers.
25-page Slator Pro Guide: Finding Growth in Adjacent Services for LSPs helps identify new opportunities for growth. Includes analysis of barriers to entry, synergies, and risks.
Public database ranks scientists based on number of citations. Over 300 language experts among the most quoted.
Snapshot of the most interesting language technology highlights from the latest edition of the State of AI Report compiled by a group of venture capitalists and researchers.
Nick Frosst on his journey to co-founding Cohere, which aims to become the default platform for NLP development; and what he thinks of the latest breakthroughs in generative AI.
Anonymization is on a trajectory to enable widespread monetization of multilingual data. Pangeanic CEO Manuel Herranz and CTO Amando Estela tell us how.
When researchers experimented with machine translation to simplify medical content for patients, the results were mixed but promising.
Computer researchers at the University of Maryland experiment with machine translation to show how global meetings can be optimized.
Adapt Center’s Yasmin Moslem on how to deploy large language models to generate domain-specific training text for machine translation — and why it matters for LSPs.
Machine translation researchers at Ireland’s Adapt Center propose a new approach to domain-specific MT training using back-translation for data augmentation.
UiPath acquires AI startup Re:infer, adding communications mining expertise to robotic process automation capabilities.
NLP technologies drive the evolution of localization, turning jargon into common terms used to manage today’s ops and tomorrow’s strategic plans. Here are five NLP terms.
NeTTT conference brings together academia, industry, and EU institutions, highlights new trends in translation and technology.
Natural language processing scientists from Lilt train model on human translation errors. The goal, to automate the correction of human translations.
Lingua Custodia Lab team present their NLP research article “Approach to integrating terminology constraints into neural translation models” which has been selected for publication.
Meta eliminates text generation in speech to speech translation; shares code and research with the public.
Large pretrained language models (PLMs) memorize lots of personal data. Researchers examine data privacy risks associated with PLMs, propose solutions.