The Intento 2021 State of Machine Translation Report – Your Checklist for the Machine Translation Landscape | New


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SAN FRANCISCO, October 11, 2021 / PRNewswire / – Intento, the leading AI integration platform, has released its annual State of Machine Translation Report, providing people working in and around the machine translation landscape with an in-depth analysis of current suppliers and the best strategies for successfully exploiting their offerings. The report is produced in collaboration with TAUS, the central authority on linguistic data, offering the largest data repository shared by the industry, in-depth linguistic engineering know-how and a network of Human Language Project workers in the whole world. You can download the report here.

The 2021 edition provides everything you need to know to choose the best MT engines for your language pair and industry. He offers:

  • The performance of different AT engines in 7 sectors (Education, Finance, Health, Hospitality, Legal, Entertainment and General) and 13 language key pairs.
  • The latest data on 24 TA business engines (Alibaba eCommerce and General, Amazon, Apptek, Baidu, DeepL, Elia, Globalese, Google, GTCom, IBM Watson, Microsoft, ModernMT, Naver, Kawamura / NICT, Pangeanic, PROMT, Rozetta, Systran, Tilde, Tencent, Yandex, Youdao and XL8)
  • With 5 open source pre-trained models (M2M-100-1.2B, M2M-100-418M, mBART50-EN2M, mBART50-M2M and OpusMT)
  • Key scores to rely on when reviewing TM results, such as similarity scores (COMET, BERTScore, PRISM, TER and hLEPOR)
  • An in-depth comparison of scores: hLEPOR, BERTScore, PRISM and COMET.
  • The coverage of language assistance, which went from 16k To 100k language pairs in 2021
  • Price comparisons

This year’s report is full of new ideas and will consist of two parts. First, the “Automatic Semantic Similarity Assessment” shows various changes in the machine translation landscape over the past year, including information on all new players in the market.

The second part will provide an in-depth linguistic analysis for 3 language pairs (EN → ES, EN → IT, EN → NL). Key takeaways from this breakdown include:

  • The comparison of texts between 5 sectors of activity: Education, Finance, Health, Legal, Travel (ES).
  • Key conclusions on the relationship between automatic metrics and human estimation of translations.
  • Recommendations on the most suitable MT engines for the language pairs and industry sectors analyzed.
  • Insights on how to improve the power of all MT motors available on the market.

Intento is trusted by global companies to help select, deploy and improve the most suitable machine translation and other AI services, including sentiment analysis, text-to-speech, image tagging and optical character recognition. The report aims to provide an expert view of the ever-changing MT landscape to save internationally-oriented businesses in both human and financial capital. A thorough understanding of the machine translation landscape benefits your business, regardless of your machine translation experience, as there is important information for the implementation of AI and machine translation in various departments to boost business success. productivity and growth. Download the report here.

“Working with AT is like living on an erupting volcano. We had 16,000 language pairs available from 34 AT providers just over a year ago, and today it’s around 100,000. out of 46. We don’t have datasets to assess them all, but working with TAUS we are looking at 13 language pairs and 7 domains, “says Constantine Savenkov, CEO of Intento. “The level of quality we’re seeing from stock models in 2021 is unprecedented. However, real world trading applications demand even more, and knowing the best stock model is not enough to be successful with MT. Make sure you have domain adaptation, glossaries, tone of voice control and other tools on your belt. “

Savenkov continues: “This year with TAUS we have particularly focused on the use of high quality domain specific data. Preparation took longer, but the results should be relevant to a wider audience and applicable to more use cases than One of this year’s highlights is the emergence of new semantic similarity metrics, such than COMET “.

The availability of high-quality, domain-specific linguistic data fueling MT models has become increasingly important as AI-enabled machine translation becomes more and more common. We are delighted to have provided Intento with test datasets in 13 language pairs and 7 domains to use in their Status of MT 2021 report. We believe the results will highlight many use cases. by providing advice on which MT engines are best suited to the given user requirements and most importantly will demonstrate the value of high quality, domain specific data to increase the quality of the end result. ” Jaap van der Meer, director of TAUS

About Intento:

Intention, the leading AI integration platform, helps global businesses use the most suitable cognitive AI services and automate content creation (text synthesis), content transformation (between text, speech and image) and content localization (machine translation), allowing companies to translate 20 times more content within their existing budgets.

This year, Intento was recognized in 2021 as Cool Vendor in Conversational and Natural Language Technologies by Gartner for its success in improving the supply chain of the global translation industry. The Intento AI Hub gives global businesses direct and easy access to a host of TA engines (like Amazon, Google AutoML, or Microsoft Cognitive Services) and seamlessly connects them to all of their business systems.

Launched in 2017, Intento brings its patented, ISO-27001 and ISO-9001 certified platform to global companies across all industries, increasing their localization, content management, customer support and marketing operations with AI. . For more information visit https://inten.to.

About TAUS:

TAUS was founded in 2005 as a think tank with a mission to automate and innovate translation. Ideas turned into actions. TAUS has become the one-stop-shop for language data, established with in-depth knowledge of the language industry, globally sourced community talent, and in-house NLP expertise. We create and improve linguistic data for the formation of better human-informed AI services.

Our mission today is to empower global businesses and their service and technology providers with data solutions that help them communicate in all languages, faster, better and more effectively. For more information visit https://www.taus.net/.

Contact:

James hjerpe

[email protected]

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