Machine Translation

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News

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    State of the Machine Translation by Intento (July 2020)

    This year, Intento has focused its efforts on researching how stock MT engines perform in different domains. TAUS, the industry leader in language datasets, provided domain-specific data in 14 language pairs and 16 industry sectors, including Computer Software, Legal Services, Financial, and Healthcare. Intento has evaluated 15 pre-trained MT engines to assess how machine translation performance varies depending on the business sector or content type, what language pairs and industries show the highest MT quality across the board, and how many MT engines are needed for best translation results.

    State of the Machine Translation by Intento (stock engines, June 2019)
     

    Evaluation of 25 major Cloud Machine Translation Services with Stock (pre-trained) models for 48 language pairs: pricing, performance, quality, and language coverage. We also analyze how the MT landscape changed over the last year.

    Why to use machine translation with Intento?

    • 1

      One simple and elegant API to many MT engines

    • 2

      Pay for MT via Intento or use your own contacts

    • 3

      Gain up to 20x performance/price efficiency by combining multiple MT engines

    • 4

      Automatically select the best MT engine for your language pair

    • 5

      Large requests are automatically split to fit into vendor requirements

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      Monitor your usage of all MT APIs in a single dashboard

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      Our API works both in synchronous and asynchronous modes

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