Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Jansen, Peter J"'
Autor:
Chaudhary, Aditi, Dalmia, Siddharth, Hu, Junjie, Li, Xinjian, Matthews, Austin, Muis, Aldrian Obaja, Otani, Naoki, Rijhwani, Shruti, Sheikh, Zaid, Vyas, Nidhi, Wang, Xinyi, Xie, Jiateng, Xu, Ruochen, Zhou, Chunting, Jansen, Peter J., Yang, Yiming, Levin, Lori, Metze, Florian, Mitamura, Teruko, Mortensen, David R., Neubig, Graham, Hovy, Eduard, Black, Alan W, Carbonell, Jaime, Horwood, Graham V., Tafreshi, Shabnam, Diab, Mona, Kayi, Efsun S., Farra, Noura, McKeown, Kathleen
This paper describes the ARIEL-CMU submissions to the Low Resource Human Language Technologies (LoReHLT) 2018 evaluations for the tasks Machine Translation (MT), Entity Discovery and Linking (EDL), and detection of Situation Frames in Text and Speech
Externí odkaz:
http://arxiv.org/abs/1902.08899
Autor:
Jansen, Peter J.
Le phénomène de la quantification est présenté à travers une analyse qui fusionne les aspects sémantiques et syntaxiques. Les éléments quantifiés qui sont formellement des objets d'ordre supérieur affichent un comportement assez particulier
Externí odkaz:
http://savoirs.usherbrooke.ca/handle/11143/2178
Autor:
S Su, T R Kasad, M Patil, A Matsunaga, M Tsugawa, V Cavalli-Sforza, Carbonell, Jaime G., Jansen, Peter J, W Ward, R Cole, D Towsley, W. Chen, A I Anton, Q He, C. McSweeney, L De Brens, J Ventura, P Taveras, R Connolly, C Ortega, B Piñeres, O Brooks
Global problems such as disease detection and control, terrorism, immigration and border control, illicit drug trafficking, etc. require information sharing, coordination and collaboration among government agencies within a country and across nationa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8831fb1757478af48f66f769e7274128
Akademický článek
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We describe ongoing efforts towards developing language resources for a transnational digital government project aimed at applying information technology (IT) to a problem of international concern: detecting and monitoring activities related to the t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0efa80f83805e3637d785e5bf016bc18
Autor:
Cavalli-Sforza, Violetta, Brown, Ralf D., Carbonell, Jaime G., Jansen, Peter J., Kim, Jae Dong
We describe ongoing efforts towards and challenges in using an Example-Based Machine Translation (EBMT) system in the context of a multi-national, multi-university and multi-agency transnational digital government project. The project is aimed at app
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8ec03eab0d8167eecb813f7cd77f4056
Since subsentential alignment is critically important to the translation quality of an Example-Based Machine Translation (EBMT) system which operates by finding and combining phrase-level matches against the training examples, we recently decided to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0198c524f06bad604963ff6547a1c084
Many corpus-based Machine Translation (MT) systems generate a number of partial translations which are then pieced together rather than immediately producing one overall translation. While this makes them more robust to ill-formed input, they are sub
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::126702930585e908c52bfdfe5869c628
Example-Based Machine Translation (EBMT) retrieves pre-translated phrases from a sentence-aligned bilingual training corpus to translate new input sentences. EBMT uses long pre-translated phrases effectively but is subject to disfluencies at phrasal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::20ff265cf32fd33a95fc128b9196a757
Publikováno v:
AI 2016: Advances in Artificial Intelligence; 2016, p585-596, 12p
