Automatic Technologies for Processing Spoken Sign Languages
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F16%3A43929969" target="_blank" >RIV/49777513:23520/16:43929969 - isvavai.cz</a>
Výsledek na webu
<a href="http://www.sciencedirect.com/science/article/pii/S1877050916300643" target="_blank" >http://www.sciencedirect.com/science/article/pii/S1877050916300643</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.procs.2016.04.050" target="_blank" >10.1016/j.procs.2016.04.050</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Automatic Technologies for Processing Spoken Sign Languages
Popis výsledku v původním jazyce
Sign languages are known as a natural means for verbal communication of the deaf and hard of hearing people. There is no universal sign language, and almost each country has its own national sign language and fingerspelling alphabet. Sign languages use visual-kinetic clues for human-to-human communication combining hand gestures with lips articulation and facial mimics. They also possess a special grammar that is quite different from that of speech-based spoken languages. Sign languages are spoken (silently) by a hundred million deaf people all over the world and the most popular are American (ASL), Chinese, Brazilian, Russian, and British Sign Languages; there are almost 140 such languages according to the Ethnologue. They do not have a natural written form, and there is a huge lack of electronic resources for them, in particular, vocabularies, audio-visual databases, automatic recognition and synthesis systems, etc. Thus, sign languages may be considered as non-written under-resourced spoken languages. In this paper, we present a computer system for text-to-sign language synthesis for the Russian and Czech Sign Languages.
Název v anglickém jazyce
Automatic Technologies for Processing Spoken Sign Languages
Popis výsledku anglicky
Sign languages are known as a natural means for verbal communication of the deaf and hard of hearing people. There is no universal sign language, and almost each country has its own national sign language and fingerspelling alphabet. Sign languages use visual-kinetic clues for human-to-human communication combining hand gestures with lips articulation and facial mimics. They also possess a special grammar that is quite different from that of speech-based spoken languages. Sign languages are spoken (silently) by a hundred million deaf people all over the world and the most popular are American (ASL), Chinese, Brazilian, Russian, and British Sign Languages; there are almost 140 such languages according to the Ethnologue. They do not have a natural written form, and there is a huge lack of electronic resources for them, in particular, vocabularies, audio-visual databases, automatic recognition and synthesis systems, etc. Thus, sign languages may be considered as non-written under-resourced spoken languages. In this paper, we present a computer system for text-to-sign language synthesis for the Russian and Czech Sign Languages.
Klasifikace
Druh
J<sub>x</sub> - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
CEP obor
JD - Využití počítačů, robotika a její aplikace
OECD FORD obor
—
Návaznosti výsledku
Projekt
<a href="/cs/project/LO1506" target="_blank" >LO1506: Podpora udržitelnosti centra NTIS - Nové technologie pro informační společnost</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2016
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Procedia Computer Science
ISSN
1877-0509
e-ISSN
—
Svazek periodika
81
Číslo periodika v rámci svazku
1
Stát vydavatele periodika
NL - Nizozemsko
Počet stran výsledku
7
Strana od-do
201-207
Kód UT WoS článku
000387446500028
EID výsledku v databázi Scopus
2-s2.0-84976407394