American Translators Association Issues Statement on Artificial Intelligence
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* Slator Pro Guide: Scaling an LSP Key Account — Growing Small Clients into Key Accounts
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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.
Large Language Models May Not Kill Translation Memories
Large language models offer new applications for traditional translation memory technologies. There’s a case for TMs to remain an important part of translation workflows.
Microsoft Says the ComSL Model Outperforms Other Models in Speech Translation
Microsoft researchers report improved results for the composite ComSL model in speech-to-text translation, surpassing the performance of Whisper and mBart.
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.
The Case for Contextual Evaluation in Measuring LLM Translation Quality
At SlatorCon Zurich, Dr. Sheila Castilho emphasizes the significance of contextual evaluation in assessing large language models and the need for a more rigorous evaluation approach.
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.
Slator Pro Guide: Translation AI
The Slator Pro Guide: Translation AI is a vital and concise guide to applying large language models (LLMs) in translation workflows, featuring 10 practical use cases.
LSP Performance Check, Llama 2, Phrase, Language I/O, LanguageWire
AI replaces LSP in multi-million dollar contract, Meta's Llama 2 model's language limitations, listed LSPs see revenue growth but shares pummeled in 2023.
Is the Bear Market in Language Service Providers Justified?
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.
Domain Adaptation On-The-Fly: Boosting In-Context Machine Translation with Coherence
Researchers from John Hopkins University explore the role of domain and local coherence in in-context machine translation revealing improvements in quality.
We Tested Google Bard on Machine Translation
Initially launched in a few select countries, Google has plans for its “creative, helpful collaborator” to support — and translate between — 40 languages, up from the current three.
Google Says PaLM 2 Beats Google Translate in Machine Translation
Google releases the PaLM 2 large language model. Technical report accompanying the launch finds that the LLM outperforms Google Translate in machine translation across all locales.
What Is HuggingChat and How Well Does It Translate?
Hugging Face releases HuggingChat, a free alternative to ChatGPT. Initial tests show translation quality may be fairly fluent but performance is very inconsistent.
Translators, Interpreters Among Most ‘Vulnerable’ to Large Language Models, OpenAI Says
New research by OpenAI and University of Pennsylvania: GPT-4 and human annotators quantify the overlap between LLM capabilities and tasks for more than 1,000 jobs.
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