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.
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LLM
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.
How Does Large Language Model BLOOM Perform for Machine Translation?
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.
Microsoft Says Large Language Models Are SotA Evaluators of Translation Quality
Microsoft introduces a GPT-based metric to evaluate translation quality and highlights the state-of-the-art capabilities of large language models (LLMs) in this task.
Call for Endorsement: ELE’s Strategic Agenda for Digital Language Equality in Europe
The European Language Equality project is calling for support from the language community to endorse its strategic agenda for digital language equality in Europe by 2030.
How Google Wants to Improve Evaluation of Low-Resource Dialect Machine Translation
Google launches a new dataset and benchmark to address the lack of region-awareness in machine translation (MT) systems and support under-resourced dialects.
How Large Language Models Can Improve Machine Translation Quality Evaluation
Google demonstrates the capability of LLMs to create synthetic datasets that can be used to train semantic similarity metrics for evaluating MT quality.
We Asked ChatGPT Questions About the Language Industry…It Had a Lot to Say
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.
How Good Are Large Language Models at Machine Translation?
Very fluent but not yet highly accurate — this is how Google researchers describe machine translation performance of large language models versus state-of-the-art MT.
Reader Polls: Should Translation Tests Be Multiple Choice?
How LSPs view Google Translation Hub, acceptable format of translation tests, growth expectations in media localization, impact of latest AI developments.
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