@inproceedings{ramirez-sanchez-etal-2021-multitrainmt,
title = "{M}ulti{T}rai{NMT}: Training Materials to Approach Neural Machine Translation from Scratch",
author = "Ram{\'\i}rez-S{\'a}nchez, Gema and
P{\'e}rez-Ortiz, Juan Antonio and
S{\'a}nchez-Mart{\'\i}nez, Felipe and
Rossi, Caroline and
Kenny, Dorothy and
Superbo, Riccardo and
S{\'a}nchez-Gij{\'o}n, Pilar and
Torres-Hostench, Olga",
editor = "Mitkov, Ruslan and
Sosoni, Vilelmini and
Gigu{\`e}re, Julie Christine and
Murgolo, Elena and
Deysel, Elizabeth",
booktitle = "Proceedings of the Translation and Interpreting Technology Online Conference",
month = jul,
year = "2021",
address = "Held Online",
publisher = "INCOMA Ltd.",
url = "https://aclanthology.org/2021.triton-1.21",
pages = "181--186",
abstract = "The MultiTraiNMT Erasmus+ project aims at developing an open innovative syllabus in neural machine translation (NMT) for language learners and translators as multilingual citizens. Machine translation is seen as a resource that can support citizens in their attempt to acquire and develop language skills if they are trained in an informed and critical way. Machine translation could thus help tackle the mismatch between the desired EU aim of having multilingual citizens who speak at least two foreign languages and the current situation in which citizens generally fall far short of this objective. The training materials consists of an open-access coursebook, an open-source NMT web application called MutNMT for training purposes, and corresponding activities.",
}
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<abstract>The MultiTraiNMT Erasmus+ project aims at developing an open innovative syllabus in neural machine translation (NMT) for language learners and translators as multilingual citizens. Machine translation is seen as a resource that can support citizens in their attempt to acquire and develop language skills if they are trained in an informed and critical way. Machine translation could thus help tackle the mismatch between the desired EU aim of having multilingual citizens who speak at least two foreign languages and the current situation in which citizens generally fall far short of this objective. The training materials consists of an open-access coursebook, an open-source NMT web application called MutNMT for training purposes, and corresponding activities.</abstract>
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%0 Conference Proceedings
%T MultiTraiNMT: Training Materials to Approach Neural Machine Translation from Scratch
%A Ramírez-Sánchez, Gema
%A Pérez-Ortiz, Juan Antonio
%A Sánchez-Martínez, Felipe
%A Rossi, Caroline
%A Kenny, Dorothy
%A Superbo, Riccardo
%A Sánchez-Gijón, Pilar
%A Torres-Hostench, Olga
%Y Mitkov, Ruslan
%Y Sosoni, Vilelmini
%Y Giguère, Julie Christine
%Y Murgolo, Elena
%Y Deysel, Elizabeth
%S Proceedings of the Translation and Interpreting Technology Online Conference
%D 2021
%8 July
%I INCOMA Ltd.
%C Held Online
%F ramirez-sanchez-etal-2021-multitrainmt
%X The MultiTraiNMT Erasmus+ project aims at developing an open innovative syllabus in neural machine translation (NMT) for language learners and translators as multilingual citizens. Machine translation is seen as a resource that can support citizens in their attempt to acquire and develop language skills if they are trained in an informed and critical way. Machine translation could thus help tackle the mismatch between the desired EU aim of having multilingual citizens who speak at least two foreign languages and the current situation in which citizens generally fall far short of this objective. The training materials consists of an open-access coursebook, an open-source NMT web application called MutNMT for training purposes, and corresponding activities.
%U https://aclanthology.org/2021.triton-1.21
%P 181-186
Markdown (Informal)
[MultiTraiNMT: Training Materials to Approach Neural Machine Translation from Scratch](https://aclanthology.org/2021.triton-1.21) (Ramírez-Sánchez et al., TRITON 2021)
ACL