Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Vu Cong Duy"'
Autor:
Pham Minh Hai, Pham Hong Tinh, Nguyen Phi Son, Tran Van Thuy, Nguyen Thi Hong Hanh, Sahadev Sharma, Do Thi Hoai, Vu Cong Duy
Publikováno v:
PLoS ONE, Vol 17, Iss 12, p e0275928 (2022)
Mangrove forest plays a very important role for both ecosystem services and biodiversity conservation. In Vietnam, mangrove is mainly distributed in the Mekong delta. Recently, mangrove areas in this region decreased rapidly in both quality and quant
Externí odkaz:
https://doaj.org/article/a35b5024a19848669f75a35de09fda25
Autor:
Vu Cong Duy Hoang, Serge Le Huitouze, Long Duong, Bleeker Andrew David, Bashkansky Guy, Hong Yu-Heng, Dovgalecs Vladislavs, Black Jason, Mark Johnson, Pham Tuyen Quang
Publikováno v:
ACL (3)
This paper describes a spoken-language end-to-end task-oriented dialogue system for small embedded devices such as home appliances. While the current system implements a smart alarm clock with advanced calendar scheduling functionality, the system is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::94d12800e4a04842adc13941c15ffb8a
https://doi.org/10.18653/v1/p19-3009
https://doi.org/10.18653/v1/p19-3009
Publikováno v:
NMT@ACL
Hoang, C D V, Koehn, P, Haffari, G & Cohn, T 2018, Iterative Back-Translation for Neural Machine Translation . in Proceedings of the 2nd Workshop on Neural Machine Translation and Generation . Melbourne, Australia, pp. 18-24, 2nd Workshop on Neural Machine Translation and Generation, Melbourne, Victoria, Australia, 15/07/18 . < http://aclweb.org/anthology/W18-2703 >
Hoang, C D V, Koehn, P, Haffari, G & Cohn, T 2018, Iterative Back-Translation for Neural Machine Translation . in Proceedings of the 2nd Workshop on Neural Machine Translation and Generation . Melbourne, Australia, pp. 18-24, 2nd Workshop on Neural Machine Translation and Generation, Melbourne, Victoria, Australia, 15/07/18 . < http://aclweb.org/anthology/W18-2703 >
We present iterative back-translation, a method for generating increasingly better synthetic parallel data from monolingual data to train neural machine translation systems. Our proposed method is very simple yet effective and highly applicable in pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e26f2d24ae18d75bde0eb8bbfedec92f
https://doi.org/10.18653/v1/w18-2703
https://doi.org/10.18653/v1/w18-2703
Publikováno v:
RIVF
Text classification concerns the problem of automatically assigning given text passages (or documents) into predefined categories (or topics). Whereas a wide range of methods have been applied to English text classification, relatively few studies ha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::69d39c07eac27215ccdffefd5a5fbc9e
https://doi.org/10.1109/rivf.2007.369167
https://doi.org/10.1109/rivf.2007.369167