Zobrazeno 1 - 10
of 52
pro vyhledávání: '"Simon, Clematide"'
Publikováno v:
Journal of Data Mining and Digital Humanities, Vol HistoInformatics, Iss HistoInformatics (2021)
The massive amounts of digitized historical documents acquired over the last decades naturally lend themselves to automatic processing and exploration. Research work seeking to automatically process facsimiles and extract information thereby are mult
Externí odkaz:
https://doaj.org/article/df4cc9494cf1464cb4aa9e29f2a87160
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031136429
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a159cbfb00e35887da27f99a37720182
https://doi.org/10.1007/978-3-031-13643-6_26
https://doi.org/10.1007/978-3-031-13643-6_26
Autor:
Reuben Raff, Winnie Yan, Yeonju Lee-Sikka, Arundhati Sengupta, Travis M. Bartley, Kyle Gorman, Yulia Spektor, Omar Ortiz, Aidan Malanoski, Bora Seo, Lucas F.E. Ashby, Simon Clematide, Luca Del Signore, Cameron Gibson, Peter Makarov, Sean Miller
Grapheme-to-phoneme conversion is an important component in many speech technologies, but until recently there were no multilingual benchmarks for this task. The second iteration of the SIGMORPHON shared task on multilingual grapheme-to-phoneme conve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f03d4b39cf99e1c2cdaca8595fb42a35
https://www.zora.uzh.ch/id/eprint/216308/
https://www.zora.uzh.ch/id/eprint/216308/
Autor:
Simon Clematide, Peter Makarov
Publikováno v:
Proceedings of the 18th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology.
This paper describes the submission by the team from the Department of Computational Linguistics, Zurich University, to the Multilingual Grapheme-to-Phoneme Conversion (G2P) Task 1 of the SIGMORPHON 2021 challenge in the low and medium settings. The
Publikováno v:
Journal of Data Mining and Digital Humanities, Vol HistoInformatics, Iss HistoInformatics (2021)
The massive amounts of digitized historical documents acquired over the last decades naturally lend themselves to automatic processing and exploration. Research work seeking to automatically process facsimiles and extract information thereby are mult
Autor:
Ann-Sophie Gnehm, Simon Clematide
We present experiments to structure job ads into text zones and classify them into pro- fessions, industries and management functions, thereby facilitating social science analyses on labor marked demand. Our main contribution are empirical findings o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::64c1840d0069fcefa20dbecafb691c1c
https://doi.org/10.5167/uzh-200235
https://doi.org/10.5167/uzh-200235
Autor:
Simon Clematide, Peter Makarov
Publikováno v:
SIGMORPHON
This paper describes the submission by the team from the Institute of Computational Linguistics, Zurich University, to the Multilingual Grapheme-to-Phoneme Conversion (G2P) Task of the SIGMORPHON 2020 challenge. The submission adapts our system from
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::96882cecb505ce6176da1c7d40116f54
https://doi.org/10.5167/uzh-198771
https://doi.org/10.5167/uzh-198771
Publikováno v:
Languages in Contrast. 19:48-78
Shortening is a common type of word-formation in many languages. Crystal (2008) distinguishes two kinds of abbreviation: initialisms and acronyms. Article use in English is variable with both acronyms and initialisms used as proper names (e.g. (the)
Autor:
Simon Clematide
Publikováno v:
Zeitschrift für Rezensionen zur Germanistischen Sprachwissenschaft, Vol 9, Iss 1-2, Pp 55-59 (2017)
Autor:
Simon Clematide, Peter Makarov
Publikováno v:
ACL
Historical text normalization, the task of mapping historical word forms to their modern counterparts, has recently attracted a lot of interest (Bollmann, 2019; Tang et al., 2018; Lusetti et al., 2018; Bollmann et al., 2018;Robertson and Goldwater, 2