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
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Czech description
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Classification
Type
C - Chapter in a specialist book
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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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
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