Language Industry (Artificial) Intelligence — Slator Answers
Christian Federmann on working with Microsoft Translator, research on large language models and machine translation, and Microsoft's approach to expanding language support.
Stanford’s annual report on AI takes a high-level look at the industry, calls out machine translation fairness, and quotes Intento data on commercially available systems.
New research identifies ideal temperature, prompts to bridge gap between conversation and translation; authors warn of ChatGPT’s “hallucinations” in non-English pairs.
OpenAI evaluates how exposed translators and interpreters are to GPT-4, Acolad’s new CEO, Google launches machine translation for games console, Disney's leaked Ant-Man script.
A mix of in-house and freelance translators, machine translation refined over six years, and non-English from-the-start content contribute to Booking.com’s USD 17bn annual revenue.
Employers are seeking tech-savvy linguists with knowledge of language, culture, and technology; highly-technologized tech-symbiotic roles are needed.
Timekettle brings about a new era in multilingual communication by combining the best of AI and automated translation into the WT2 Edge earbuds, with close to zero latency.
Academics, technologists, and business leaders convene at the University of Surrey to address the many ways in which humans and machines are collaborating in language services.
Interest in machine voice is at an all-time high. Here, we present a use case for speech technologies scaling multilingual content creation in global launch cycles.
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.
University of Warwick’s David Orrego-Carmona on his research in subtitling and machine translation and the impact of short-form content and ChatGPT on academia.
AWS researchers create a way to train an automatic dubbing system based on bi-directional language data. Using phonemes instead of words resulted in better aligned speech and MT.
Professional translation and interpreting associations criticize UK Home Office for advocating use of “online translation tools” in asylum application process.
Google launches a new dataset and benchmark to address the lack of region-awareness in machine translation (MT) systems and support under-resourced dialects.
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.
Slator Weekly: Join over 15,500 subscribers and get the latest language industry intelligence every Friday
Tool Box: Join 10,000 subscribers for your monthly linguist technology update.
Your information will not be shared with third parties. No Spam.
This will close in 0 seconds