Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Jan Hoidekr"'
Autor:
Jan Hoidekr, Vojtěch Dynybyl
Publikováno v:
Current Methods of Construction Design ISBN: 9783030331450
The aim of this work is to determine the system of equations of motion for laboratory vibrating sorter mechanism. Description of motion and experimental verification is useful for designing of industrial vibrating sorters. These sorters are mostly us
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a6638b786f10b8d3801b6d65e63abcd8
https://doi.org/10.1007/978-3-030-33146-7_32
https://doi.org/10.1007/978-3-030-33146-7_32
Autor:
Pavel Ircing, Jan Vavruška, Lucie Skorkovská, Jan Lehečka, Aleš Pražák, Jan Švec, Jan Hoidekr, Petr Stanislav
Publikováno v:
Language Resources and Evaluation. 48:227-248
The paper describes a general framework for mining large amounts of text data from a defined set of Web pages. The acquired data are meant to constitute a corpus for training robust and reliable language models and thus the framework needs to also in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f11a851388b450bf326bb286c910e4cc
https://doi.org/10.1007/s10579-013-9246-z
https://doi.org/10.1007/s10579-013-9246-z
Publikováno v:
Text, Speech and Dialogue ISBN: 9783642235375
TSD
TSD
The paper describes a system for collecting a large text corpus from Internet news servers. The architecture and text preprocessing algorithms are described. We also describe the used duplicity detection algorithm. The resulting corpus contains more
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a7f89e5ecf8ad4fca6d55ffab46d92f2
https://doi.org/10.1007/978-3-642-23538-2_45
https://doi.org/10.1007/978-3-642-23538-2_45
Publikováno v:
Text, Speech and Dialogue ISBN: 9783540746270
TSD
ResearcherID
TSD
ResearcherID
This paper describes the design of the first large-scale IR test collection built for the Czech language. The creation of this collection also happens to be very challenging, as it is based on a continuous text stream from automatic transcription of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0fc2b934c748abe3e70d729178d742cc
https://doi.org/10.1007/978-3-540-74628-7_57
https://doi.org/10.1007/978-3-540-74628-7_57
Publikováno v:
SIGIR
This paper reports on experiments with the first available Czech IR test collection. The collection consists of a continuous stream from automatic transcription of spontaneous speech (see [3] for details) and the task of the IR system is to identify
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4ebe8b3ae582b83b92763ba874a2025b
https://doi.org/10.1145/1277741.1277933
https://doi.org/10.1145/1277741.1277933
Publikováno v:
Text, Speech and Dialogue ISBN: 9783540390909
TSD
TSD
This paper describes a LVCSR system for automatic online subtitling (closed captioning) of TV transmissions of the Czech Parliament meetings The recognition system is based on Hidden Markov Models, lexical trees and bigram language model The acoustic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::905e0d8662dd38d7fa6f450acaf89487
https://doi.org/10.1007/11846406_63
https://doi.org/10.1007/11846406_63