Meta Claims It Just Made ‘Speech Translation a Whole Lot Better’
Built on the August 2023 SeamlessM4T, the Seamless suite includes models that preserve vocal style and translate text and speech in nearly 100 languages.
*New* Slator Pro Guide: Scaling an LSP Key Account — Growing Small Clients into Key Accounts
Machine Translation
News and analysis of the latest developments in machine translation, computer-aided-translation, natural language processing, and other language-related areas in artificial intelligence.
Here Are the Best-Performing Machine Translation Evaluation Metrics
New research reveals the best-performing machine translation evaluation metrics, identifies major challenges in metrics development, and suggests improvements.
New Research Shows How to Use Quality Metrics to Improve Machine Translation
New research suggests that integrating quality metrics as reward models into the machine translation pipeline can enhance the quality of the generated text.
Large Language Models Beat Commercial MT Models for Arabic Dialects, Research Finds
New research shows that large language models are better translators of Arabic dialects than commercial machine translation systems but remain far from perfect.
OpenAI Gains Traction as New Default for Machine Translation
Toronto-based client communication platform Messagepoint announced it will integrate both DeepL and OpenAI machine translation capabilities in its content hub starting November 30, 2023.
Slator Machine Translation Expert-in-the-Loop Report
60-page report on the interaction between human experts and AI in translation production, including AI-enabled workflows, adoption rates, postediting, pricing models.
China’s Top Tech Firm Proposes New Way to Improve CAT Tool Word Auto-Completion
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.
New Research Explores How to Simplify Translation Between Related Languages
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.
Are Large Language Models Good at Translation Post-Editing?
Microsoft Azure AI researchers explore the potential of large language models for automatic post-editing and find that LLMs are good but not great at it.
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 are teaming up with academia to accelerate progress in this challenging field of language AI.
Low-Resource Language Machine Translation Can Compromise Large Language Model Safety
Brown University researchers reveal an issue with AI safety mechanisms in large language models involving low-resource languages.
Large Language Models Are Really Good at Data Cleaning, Research Finds
A study demonstrates the ability of large language models to remove noise from datasets and underscores their potential for data cleaning.
How Effective Are Large Language Models in Low-Resource Language Translation
Carnegie Mellon University researchers explore LLM effectiveness across 204 languages revealing their output limitations for low-resource languages.
Automating Machine Translation Quality Estimation Gains Traction
Interest in automating machine translation quality estimation increases with the prevalence of large language models, but still has some way to go to be deployed at scale.
How Prompting by Humans Improves Machine Translation
As large language models provide ever more sophisticated ways to automatically generate content, the potential for prompting to improve machine translation output becomes clearer.
How WIPO Fully Automated Transcription and Translation of Meeting Transcripts
The World Intellectual Property Organization unveiled its in-house solution designed to generate conference meeting transcripts and machine translations.
Can Large Language Models Do Simultaneous Machine Translation?
Monash University researchers show that large language models can do real-time machine translation and propose new ways for model fine-tuning.
Google Debuts New Multilingual Machine Translation Model For Low Resource Languages
Google created a new dataset for machine translation and multilingual NLP tasks across 400 languages and released a high-performing multilingual MT model trained on this data.
Speech Wikimedia Drops a 200GB Audio Dataset to Train ASR and Speech Translation
Researchers from NVIDIA, Factored.ai, Talon Voice, and others open-source a properly licensed dataset of 1,780 hours of speech in 77 different languages, plus transcriptions.
Tracing Meta’s Path to Text and Speech Translation Model SeamlessM4T
Meta introduced SeamlessM4T after months of research and numerous expansive multilingual models. How does the “next big thing” fit into future projects, and the language industry?
After Gizmodo Fires Spanish Writers, Google Now Ranks Raw Machine Translation
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.
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