Browsing by Author "Ruiz Costa-Jussà, Marta"
Now showing items 1-20 of 130
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A Client mobile application for Chinese-Spanish statistical machine translation
(2014)
Conference report
Open AccessThis show and tell paper describes a client mobile application for Chinese-Spanish machine translation. The system combines a standard server-based statistical machine translation (SMT) system, which requires online ... -
A Deep source-context feature for lexical selection in statistical machine translation
(Elsevier, 2016-05-01)
Article
Open AccessThis paper presents a methodology to address lexical disambiguation in a standard phrase-based statistical machine translation system. Similarity among source contexts is used to select appropriate translation units. The ... -
A differentiable BLEU loss. Analysis and first results
(2018)
Conference report
Open AccessIn natural language generation tasks, like neural machine translation and image captioning, there is usually a mismatch between the optimized loss and the de facto evaluation criterion, namely token-level maximum likelihood ... -
A MOOC on approaches to machine translation
(2015-12-10)
Article
Open AccessThis paper describes the design, development, and analysis of a MOOC entitled “Approaches to Machine Translation: Rule-based, statistical and hybrid”, and provides lessons learned and conclusions to be taken into account ... -
A neural approach to language variety translation
(Association for Computational Linguistics, 2018)
Conference lecture
Restricted access - publisher's policyIn this paper we present the first neural-based machine translation system trained to translate between standard national varieties of the same language. We take the pair Brazilian - European Portuguese as an example and ... -
A non-linear semantic mapping technique for cross-language sentence matching
(2010-08-01)
Article
Restricted access - publisher's policy -
A Richly annotated, multilingual parallel corpus for hybrid machine translation
(European Language Resources Association (ELRA), 2012)
Conference report
Open AccessIn recent years, machine translation (MT) research has focused on investigating how hybrid machine translation as well as system combination approachescan bedesigned so that theresulting hybrid translationsshow an improvement ... -
ACÚSTICA (Examen 2n quadrimestre, 2n parcial)
(Universitat Politècnica de Catalunya, 2016-06-06)
Exam
Restricted access to the UPC academic community -
AI reflections in 2020
(Springer Nature, 2021-01-19)
Article
Open AccessWe invited authors of selected Comments and Perspectives published in Nature Machine Intelligence in the latter half of 2019 and first half of 2020 to describe how their topic has developed, what their thoughts are about ... -
AMALEU: una representación universal del lenguaje basada en aprendizaje automático
(2020-09)
Article
Open AccessEl objetivo del proyecto AMALEU es aprender una representación común para diferentes idiomas. Se pretende tener una representación común para la lengua oral y una para la lengua escrita. AMALEU, de dos años de duración, ... -
An analysis of gender bias studies in natural language processing
(Springer Science and Business Media LLC, 2019-10-14)
Article
Open AccessArtificial intelligence systems copy and amplify existing societal biases, a problem that by now is widely acknowledged and studied. But is current research of gender bias in natural language processing actually moving ... -
An IR-based strategy for supporting Chinese-Portuguese translation services in off-line model
(2014-04-01)
Article
Restricted access - publisher's policyThis paper describes an Information Retrieval engine that is used to support our Chinese-Portuguese machine translation services when no internet connection is available. Our mobile translation app, which is deployed on ... -
An Ngram-based reordering model
(Elsevier, 2009-07)
Article
Restricted access - publisher's policyThis paper describes in detail a novel approach to the reordering challenge in statistical machine translation (SMT). This Ngram-based reordering (NbR) approach uses the powerful techniques of SMT systems to generate a ... -
An overview of the phrase-based statistical machine translation techniques
(2012-12-01)
Article
Restricted access - publisher's policy -
Attention weights in transformer NMT fail aligning words between sequences but largely explain model predictions
(Association for Computational Linguistics, 2021)
Conference lecture
Open AccessThis work proposes an extensive analysis of the Transformer architecture in the Neural Machine Translation (NMT) setting. Focusing on the encoder-decoder attention mechanism, we prove that attention weights systematically ... -
Automatic and human evaluation study of a rule-based and a statistical Catalan-Spanish machine translation systems
(2011)
Conference report
Open AccessMachine translation systems can be classified into rule-based and corpus-based approaches, in terms of their core technology. Since both paradigms have largely been used during the last years, one of the aims in the ... -
Automatic evaluation for E-Learning using latent semantic analysis: A use case
(2013-03-01)
Article
Open AccessAssessment in education allows for obtaining, organizing, and presenting information about how much and how well the student is learning. The current paper aims at analysing and discussing some of the most state-of-the-art ... -
Automatic evaluation of continuous assessment tests
(2010-12-01)
Part of book or chapter of book
Open Access -
Automatic normalization of short texts by combining statistical and rule-based techniques
(2013-03-01)
Article
Open AccessShort texts are typically composed of small number of words, most of which are abbreviations, typos and other kinds of noise. This makes the noise to signal ratio relatively high for this specific category of text. A high ... -
Automatic Spanish translation of SQuAD dataset for multi-lingual question answering
(European Language Resources Association (ELRA), 2020)
Conference lecture
Open AccessRecently, multilingual question answering became a crucial research topic, and it is receiving increased interest in the NLP community.However, the unavailability of large-scale datasets makes it challenging to train ...
