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machine translation
30 Jun 2022TAUS recently launched DeMT™. This article provides context and more information on this recipe for improved MT.
by David Koot8 Apr 2022BLEU scores are essential to calculate translation precision: they compare reference translations with MT translation output, also known as candidate translations.
14 Oct 2020Results of a survey addressed to LSPs to understand how much data is needed to create and train MT engines in addition to recommendations for MT training phases.
7 Sep 2020Quality estimation for machine translation is an active field of research in the NLP community. As a method that does not require access to reference translations, it may very well become a standard evaluation tool for translation and language data providers in the future.
by Milica Panić22 Jul 2020Automatic evaluation of Machine Translation (MT) output refers to the evaluation of translated content using automated metrics such as BLEU, NIST, METEOR, TER, and CharacTER.
8 May 2020Tilde's experience with developing the EU Presidency Translator is a great use case of public service MT. It has demonstrated how machine translation can be customized to provide efficiency and quality in cross-lingual communication.
by Milica Panić6 May 2020How to best implement machine translation and what factors to pay attention to?
28 Apr 2020Machine translation trends to keep an eye on in 2020: Context-aware MT, Productization of Quality Estimation, Quality Estimation as Evaluation, Smaller High-quality Models, Source Data Analytics, Multilingual and Multi-domain NMT, and Dynamic Adaption.
6 Mar 2020Can AI-driven translation by itself lead to “social” bias or intentional fakes, or only to accurate or inaccurate outputs? Here are some notes on AI ethics
by Şölen Aslan18 Sep 2019Machine translation is being redefined with the latest research titled Massively Multilingual Neural Machine Translation in the Wild, by the Google AI Team. What does Massive NMT mean for the future of translation? We've also got the insider view from Orhan Firat, a Senior Research Scientist at Google AI.
27 Nov 2018What's new in the world of machine translation and what are the MT trends for 2019? Here are the rising trends based on EMNLP 2018, one of the biggest conferences on Natural Language Processing in the world, and WMT 2018, one of the most reputable conferences in the field of machine translation.
by Şölen Aslan10 Nov 2017What is the best way to evaluate MT outputs? Humans and robots are racing in efforts to provide an answer to this dilemma. Maybe the solution is ''Social Robots''?
by Attila Görög20 Jul 2017The translation industry is adopting machine translation in increasing numbers. Yet, the evaluation of MT output quality remains a major challenge for all.
21 Mar 2017Artificial neural networks have come to stay and are already proving efficient for data-intensive industries. A blog post about Neural Machine Translation.
4 Oct 2016In NMT, programs are not written to solve a problem but to make the machine learn how to solve the problem from examples.
19 Sep 2016Deep Learning is currently on the verge of breaking the quality barrier, making machine translation smarter.
14 Sep 2016Incorporating the best of both worlds: Statistical Machine Translation (SMT) systems , and Neural Networks.
13 Jun 2016The popularity of the Google Translate app has also encouraged the development of hundreds of other translation apps.