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Deep Dive Machine Translation

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3A10475945" target="_blank" >RIV/00216208:11320/23:10475945 - isvavai.cz</a>

  • Result on the web

    <a href="https://link.springer.com/book/10.1007/978-3-031-28819-7" target="_blank" >https://link.springer.com/book/10.1007/978-3-031-28819-7</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-031-28819-7_2" target="_blank" >10.1007/978-3-031-28819-7_2</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Deep Dive Machine Translation

  • Original language description

    Machine Translation (MT) is one of the oldest language technologies having been researched for more than 70 years. However, it is only during the last decade that it has been widely accepted by the general public, to the point where in many cases it has become an indispensable tool for the global community, supporting communication between nations and lowering language barriers. Still, there remain major gaps in the technology that need addressing before it can be successfully applied in under-resourced settings, can understand context and use world knowledge. This chapter provides an overview of the current state-of-the-art in the field of MT, offers technical and scientific forecasting for 2030, and provides recommendations for the advancement of MT as a critical technology if the goal of digital language equality in Europe is to be achieved.

  • Czech name

  • Czech description

Classification

  • Type

    C - Chapter in a specialist book

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2023

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Book/collection name

    European Language Equality - A Strategic Agenda for Digital Language Equality

  • ISBN

    978-3-031-28819-7

  • Number of pages of the result

    26

  • Pages from-to

    263-288

  • Number of pages of the book

    412

  • Publisher name

    Springer Nature Switzerland AG

  • Place of publication

    Cham

  • UT code for WoS chapter