Robust knowledge discovery from parallel speech and text sources

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F01%3A00065603" target="_blank" >RIV/49777513:23520/01:00065603 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Robust knowledge discovery from parallel speech and text sources
Original language description
We present a project currently in its early stages that aims to take advantage of the re-dundancies in parallel sources to achieve robustness in automatic knowledge extraction. Our goal is to align collections of stories from multiple text and speech sources in more than one language. Then we try to develop methods that exploit the resulting parallelism both as a tool to improve recognition accuracy and to enable the development of systems that can reliably extract information from parallel sources. Weenvision techniques that will operate repeatedly on multilingual sources by incorporating newly discovered information in one language into the models used for all the other languages.
Czech name
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Czech description
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Project
<a href="/en/project/LN00A063" target="_blank" >LN00A063: Centre of Computational Linguistics</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2001
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Robust knowledge discovery from parallel speech and text sources
ISBN
1558607862
ISSN
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e-ISSN
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Number of pages
3
Pages from-to
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Publisher name
Morgan Kaufmann Publishers
Place of publication
San Francisco
Event location
San Francisco
Event date
Jan 1, 2001
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
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