GPT-4 Launch Promises Surprising New Use Cases
OpenAI releases its much anticipated GPT-4 large language model. Here’s a short primer on its language, problem-solving, and multimodal capabilities for real-world applications.
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.
How Fast Should You Post-edit Machine Translation? Here’s What the EU Translation Centre Thinks
The European Union’s Translation Centre gives guidance on daily post-editing output in a new multi-million Euro tender for translation services.
Google Encourages Game Developers to Switch from Human to Machine Translation
Developers can apply for early access to the new service to automatically translate store listings, product descriptions, and in-app text into seven 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.
Here Is How Amazon Wants to Improve Machine Dubbing
AWS researchers create a way to train an automatic dubbing system based on bi-directional language data. Using phonemes instead of words resulted in better aligned speech and MT.
Slator 2023 Language Service Provider Index (Data as a Spreadsheet Download)
Spreadsheet with underlying data for the Slator 2023 LSPI: ca. 350 LSPs, 2022 revenues (USD), growth, ownership, headquarters, and more.
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.
Fuzzy Matches Can Refine Machine Translation by GPT-3, Other Large Language Models
January 2023 paper from ADAPT Centre finds GPT can enhance real-time adaptation to user feedback; “promising” results, and number of fuzzy matches needed, vary by language.
Have You Ever Used ChatGPT for Machine Translation?
Using ChatGPT for machine translation, the meaning of DeepL’s Unicorn status for the language industry, companies involved in M&As in 2022, and the fading translator CV scam.
Tencent Pits ChatGPT Translation Quality Against DeepL and Google Translate
Research by Tencent AI Lab compares ChatGPT’s performance in machine translation with Google Translate, DeepL, and Tencent’s TranSmart.
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.
A Realistic Dataset for Evaluating Gender Bias in Machine Translation by Amazon
Amazon releases MT-GenEval, a realistic dataset for evaluating gender bias in machine translation, to better understand how MT models perform on gender translation accuracy.
Working Around Machine Translation’s Need for Large-Scale Training Data
Unlike some fields in machine learning, machine translation still requires large sets of training data. The solution? Creating more data when none (or not enough) exists.
Synthetic Data Can Improve Machine Translation – New Research from IBM, UCSD
New research from IBM and UC San Diego explores synthetic parallel data as a means of pre-training machine translation models — with promising results.
‘Tricky to Measure’ — Meta Explores Interference in Machine Translation
Prevalence, severity of interference — the negative influence of other language pairs in multilingual machine translation models — may be overstated; solutions might be simplified.
Amazon Quantifies Impact of Machine Translation Quality on Multilingual Searches
Multilingual e-commerce searches introduce shoppers to new products; researchers identify language pairs with most to gain from launching or improving machine translation.
How Fast Can You Post-Edit Machine Translation?
All you need to know about how you score against postediting translation speed standards and the factors affecting your performance.
Not If, but When: Taking the Leap Into MT
Preview of what to expect at Intento’s Machine Translation Playbook Webinar on December 13, 2022. Nike, Stripe, GAP, AstraZeneca, NetApp share biggest takeaways from 2022; 2023 plans.
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.
How Europe’s Second Largest Bank Built Multilingual Machine Translation In-House
BNP Paribas, Europe’s second largest bank, applies domain adaptation for multilingual neural machine translation models — without excessive loss of knowledge across language pairs.
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