Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Marta Ruiz Costa-jussà"'
Autor:
Marta Ruiz Costa-jussà, Lluis Formiga, Oriol Torrillas, Jordi Petit, José Adrián Rodríguez Fonollosa
Publikováno v:
International Review of Research in Open and Distributed Learning, Vol 16, Iss 6 (2015)
This paper describes the design, development and analysis of a MOOC entitled “Approaches to Machine Translation: rule-based, statistical and hybrid” providing lessons learnt on conclusions to be take into account in the future. The course was dev
Externí odkaz:
https://doaj.org/article/0ba06a965dd94eee91f65e823c2ec2e1
Publikováno v:
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Universitat Politècnica de Catalunya (UPC)
State-of-the-art multilingual machine translation relies on a shared encoder-decoder. In this paper, we propose an alternative approach based on language-specific encoder-decoders, which can be easily extended to new languages by learning their corre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::698e223a8017acd4d2c195874cd9acba
https://hdl.handle.net/2117/368571
https://hdl.handle.net/2117/368571
Autor:
Marta Ruiz Costa-jussà
Publikováno v:
Polibits. 51:3-4
Autor:
Marta Ruiz Costa-jussà
Publikováno v:
Recercat. Dipósit de la Recerca de Catalunya
instname
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
instname
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
The use of morphology is particularly interesting in the context of statistical machine translation in order to reduce data sparseness and compensate any lack of training corpus. In this work, we propose several approaches to introduce morphology kno
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7bd2b4d74d4892e7626a74a057ae344d
http://hdl.handle.net/2117/81165
http://hdl.handle.net/2117/81165
Autor:
Marcelo Finger, Fabiano Ferreira Luz
Publikováno v:
Biblioteca Digital de Teses e Dissertações da USP
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
Semantic parsing is the process of mapping a natural-language sentence into a machine-readable, formal representation of its meaning. The LSTM Encoder-Decoder is a neural architecture with the ability to map a source language into a target one. We ar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a6294079478fbc91a65ae1486fff19e0
https://doi.org/10.11606/t.45.2019.tde-01042019-101602
https://doi.org/10.11606/t.45.2019.tde-01042019-101602
Autor:
Rodríguez Guasch, Sergio
Publikováno v:
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Recercat. Dipósit de la Recerca de Catalunya
instname
Universitat Politècnica de Catalunya (UPC)
Recercat. Dipósit de la Recerca de Catalunya
instname
Aquest projecte recull el disseny i implementació d'un sistema de traducció neuronal orientat a resoldre la tasca "Multimodal Translation" proposada pel "Workshop on Machine Translation" (WMT). Aquesta tasca consisteix en la traducció de descripci
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::0af121a2136e788cdc77437ef0cdef7d
http://hdl.handle.net/2117/88480
http://hdl.handle.net/2117/88480