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After years of appeals, the EPO has definitively rejected Google’s patent application for neural machine translation, arguing that improvements to the process are not technical or an inventive step.
Less than two weeks after ATA’s annual conference, which featured many sessions on generative AI, the organization’s stance has prompted questions from some observers.
New research reveals the best-performing machine translation evaluation metrics, identifies major challenges in metrics development, and suggests improvements.
New research shows that large language models are better translators of Arabic dialects than commercial machine translation systems but remain far from perfect.
Researchers from Shanghai Jiao Tong University and Tencent AI Lab introduce a method to elevate word-level auto-completion through machine translation, with experimental results showcasing noteworthy enhancements.
A study introduces an approach to streamline translation between related languages, with the goal of enhancing trade efficiency and strengthening social connections, particularly in regions with related languages.
As AI-generated content gains traction, the US begins to formalize best practices and processes for official use, including watermarking digital content created by AI.
Spotify offers AI voice translation; in-person conferences are back but many are still staying put; translators will still be translators, and “full post-editing” is translation.
The World Intellectual Property Organization unveiled its in-house solution designed to generate conference meeting transcripts and machine translations.
Sign-to-spoken language machine translation research using a purpose-built dataset and an intermediate notation system reveals improvements in multilingual target text outputs.
Monash University researchers show that large language models can do real-time machine translation and propose new ways for model fine-tuning.
G/O Media fires Gizmodo’s entire staff of Spanish writers and begins publishing raw machine-translated versions of English articles that are now being indexed by Google Search.
Apostroph’s apoLAB engineers explain the potential of custom language models for simplifying workflows and discuss better machine learning strategies and data security.
Q3 2023 is a time of contrasts, with highs on the technology and professional sides of the language services industry, and lows on the financial side for publicly traded LSPs.
Boğaziçi University researchers reveal the potential of customizing MT systems to replicate a translator's style, leading to literary translations that mirror the translator's unique style.
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