Kniha Learning Speech Translation from Interpretation Matthias Paulik

Learning Speech Translation from Interpretation

Rapid Development of Automatic Speech Translation Systems using Audio Recordings of Interpreter-Mediated Communication

Jazyk: Angličtina
Väzba: Brožovaná
Dostupnosť: Skladom u dodávateľa
Odosielame za 5-8 dní
60.36
Deployable speech translation (ST) systems typically need to be trained on (1) hundreds of hours of...

Informácie o knihe

Jazyk
Angličtina
Väzba
Kniha - Brožovaná
Vydalo
2015
Stránok
148
EAN
9783838118789
Enbook ID
02271666
Hmotnosť
238
Rozmery
150 x 220 x 9

Kompletný popis

Deployable speech translation (ST) systems typically need to be trained on (1) hundreds of hours of manually transcribed speech audio; (2) bi-lingual text corpora of manual translations, often comprising tens of millions of words; and (3) monolingual text corpora, often comprising hundreds of millions of words. Therefore, ST system development is very costly and requires months or even years of effort. Such a delay is unacceptable for many situations that call for rapid development of automatic ST solutions, as given by disaster relief operations or military operations. Urgency, combined with the absence of automatic ST solutions, consequently necessitates the deployment of interpreters in these situations. In this work, we develop methods to directly train ST systems on audio recordings of interpreter-mediated communication. By employing unsupervised and lightly supervised training techniques, the proposed methods allow us to omit most of the manual transcription effort and all of the manual translation effort that has typically characterized ST system development. Thus, the amount of costly and time-consuming human supervision is substantially reduced.

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