Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Darlene A. Stewart"'
Autor:
Nathan Thanyehténhas Brinklow, Alain Désilets, S. Z. Child, Benoit Farley, Eddie Antonio Santos, Akwiratékha' Martin, Anna Kazantseva, Fineen Davis, Christopher Cox, Delasie Torkornoo, Heather Souter, Brian Maracle Owennatékha, Eric Joanis, Gilles Boulianne, Olivia Sammons, Rebecca Knowles, Darlene A. Stewart, Marie-Odile Junker, Patrick Littell, Delaney Lothian, Vishwa Gupta, Caroline Running Wolf, Daisy Rosenblum, Roland Kuhn, David Huggins-Daines, Aidan Pine
Publikováno v:
COLING
This paper describes a three-year project at the National Research Council of Canada aimed at developing software to assist Indigenous communities in their efforts to preserve their languages and extend their use. The project aimed to work within the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9627dc3cdc6226aaef4b066aa19a4341
https://doi.org/10.18653/v1/2020.coling-main.516
https://doi.org/10.18653/v1/2020.coling-main.516
Publikováno v:
WMT (2)
We describe the neural machine translation (NMT) system developed at the National Research Council of Canada (NRC) for the Kazakh-English news translation task of the Fourth Conference on Machine Translation (WMT19). Our submission is a multi-source
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e55f389f538d05aa1517fecd055d3860
https://nrc-publications.canada.ca/eng/view/object/?id=ab65b956-059a-4ac6-8658-63e9927dd83f
https://nrc-publications.canada.ca/eng/view/object/?id=ab65b956-059a-4ac6-8658-63e9927dd83f
Publikováno v:
WMT (shared task)
We present our semantic textual similarity approach in filtering a noisy web crawled parallel corpus using YiSi—a novel semantic machine translation evaluation metric. The systems mainly based on this supervised approach perform well in the WMT18 P
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7fc9d33e1ef56547cd21b9fa8049ac9f
https://doi.org/10.18653/v1/w18-6482
https://doi.org/10.18653/v1/w18-6482
Publikováno v:
WMT (shared task)
The WMT18 shared task on parallel corpus filtering (Koehn et al., 2018b) challenged teams to score sentence pairs from a large high recall, low-precision web-scraped parallel corpus (Koehn et al., 2018a). Participants could use existing sample corpor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::47e587902aa72d1a0b451e3b381c1fd9
https://nrc-publications.canada.ca/eng/view/object/?id=c7a0017b-bde5-4154-90be-93d0a454b094
https://nrc-publications.canada.ca/eng/view/object/?id=c7a0017b-bde5-4154-90be-93d0a454b094
Autor:
Anna Kazantseva, Chi-kiu Lo, Roland Kuhn, Colin Cherry, Rabib Islam, George Foster, Darlene A. Stewart
Publikováno v:
WMT
We describe the statistical machine translation system developed at the National Research Council of Canada (NRC) for the Russian-English news translation task of the First Conference on Machine Translation (WMT 2016). Our submission is a phrase-base
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::09b87d386d4a1fd0b8d4e79c7ea8ba4d
https://doi.org/10.18653/v1/w16-2317
https://doi.org/10.18653/v1/w16-2317
Publikováno v:
IEEE Software. 25:52-58
An action research project involving scientists from the National Research Council Canada and the Institute for Ocean Technology analyzed difficulties in using software to collect data and manage processes. The project identified three requirements f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::32baf289e8dfcc4dc6e7bd3e5be9c215
https://doi.org/10.1109/ms.2008.97
https://doi.org/10.1109/ms.2008.97
Publikováno v:
SIGGRAPH
A Switchboard model of user input management is presented which takes advantage of opportunities afforded by a multitasking multiprocessor programming environment. This model further separates application programming from the programming of the inter
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::00814a9aa62e7248c1367a67e6975d60
https://nrc-publications.canada.ca/eng/view/object/?id=bf6a68ef-6268-4037-9702-a63c8fab8d0f
https://nrc-publications.canada.ca/eng/view/object/?id=bf6a68ef-6268-4037-9702-a63c8fab8d0f
Periodical
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Conference
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