Deep Dive Machine Translation

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Deep Dive Machine Translation

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Deep Dive Machine Translation

Popis výsledku anglicky

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.

Druh

C - Kapitola v odborné knize

CEP obor

—

OECD FORD obor

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

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2023

Kód důvěrnosti údajů

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

Název knihy nebo sborníku

European Language Equality - A Strategic Agenda for Digital Language Equality

ISBN

978-3-031-28819-7

Počet stran výsledku

26

Strana od-do

263-288

Počet stran knihy

412

Název nakladatele

Springer Nature Switzerland AG

Místo vydání

Cham

Kód UT WoS kapitoly

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