How Large Language Models Mimic the Human Translation Process
Research shows that incorporating preparatory steps and self-generated knowledge into the translation process of LLMs enables them to emulate human translation strategies.
Language Industry (Artificial) Intelligence — Slator Answers
Maria Stasimioti
Research Analyst at Slator. Based in Athens, Greece.
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.
Here Are 30 New Jobs Language Industry CEOs Expect to Hire for in the AI Age
As large language models are put into production across the USD 28bn language industry, CEOs expect to start recruiting for new roles: from Prompt Engineer to Source Language AI Copy Editor.
Apple Proposes New Solution for Multilingual Machine Translation
Apple researchers propose a solution and claim it can improve multilingual machine translation without pivoting and increasing the inference cost.
A Language Justice Framework Is Essential for Equitable Healthcare, Research Finds
Research by University of Minnesota and the HealthPartners Institute reveals language access disparities negatively impact health outcomes for non-English speakers.
Slator 2023 Language Industry Market Report
140-page flagship report on market-size, LLM and GPT impact, TMS, AI dubbing, interpreting, game loc, market outlook, and more.
Microsoft Researchers Want to Escape Machine Translation’s ‘Sentence-Level Paradigm’
Microsoft proposes a path forward for document-based machine translation, breaking free from the sentence-level translation paradigm.
How to Improve Machine Translation Quality Evaluation with Domain-Specific Data
Researchers from Tilburg University boost machine translation quality estimation with domain adaptation and data augmentation.
Realistic Dialogues, No Translation: Google Unveils Dataset for Virtual Assistant Training
A group of researchers at Google found that realistic dialogues with no translation and structured context are needed to optimize virtual assistants’ performance.
Why Large Language Models Hallucinate When Machine Translating ‘in the Wild’
A group of researchers found that large language models produce hallucinations when machine translating ‘in the wild’ that are different from traditional models.
Everyone Wants to Hire Tech-Savvy Linguists
Employers are seeking tech-savvy linguists with knowledge of language, culture, and technology; highly-technologized tech-symbiotic roles are needed.
Google Sheds More Light on Its 1,000+ Languages Universal Speech Model
As the race in all things language AI heats up, Google discloses more details about its Universal Speech Model that the search giant claims supports over 1,000 languages.
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.
EU Issues EUR 20m RFP for Large Language Models that ‘Respect European Values’
The EU Commission announced a EUR 20m tender for the development of advanced language technologies focused on natural language understanding and interaction.
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.
A Report on Crisis Translation and Interpreting Training by FIT, DCU, and UCL
A Report by FIT, DCU, and UCL highlights an interest in crisis translation and interpreting training and the need for a model training syllabus.
European Defense Fund Supports Project for AI-based Language Solutions
European Union supports a project for the development of AI-based language solutions for defense applications to enhance the use of AI in the defense sector.
EU’s DG CONNECT Awards EUR 8m Contract for Language Data Platform
EU’s DG CONNECT awards a EUR 8m contract to create a platform and marketplace for multilingual language data sharing and exchange.
No Post-Editing Output: Microsoft Releases Massive Machine Translation Test Set
Microsoft’s NTREX-128, the second largest human-translated test set, is another benchmark for the evaluation of massively multilingual machine translation research.
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