Browsing by Author "Ruiz Costa-Jussà, Marta"
Now showing items 1-20 of 83
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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 ... -
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 ... -
A non-linear semantic mapping technique for cross-language sentence matching
(2010-08-01)
Article
Restricted access - publisher's policy -
An overview of the phrase-based statistical machine translation techniques
(2012-12-01)
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 ... -
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 ... -
Bridging deep and kernel methods
(2017)
Conference report
Restricted access - publisher's policyThere has been some exciting major progress in recent years in data analysis methods, including a variety of deep learning architectures, as well as further advances in kernel-based learning methods, which have demonstrated ... -
BUCEADOR, a multi-language search engine for digital libraries
(2012)
Conference lecture
Open AccessThis paper presents a web-based multimedia search engine built within the Buceador (www.buceador.org) research project. A proof-of-concept tool has been implemented which is able to retrieve information from a digital ... -
Byte-based neural machine translation
(Association for Computational Linguistics, 2017)
Conference report
Open AccessThis paper presents experiments compar- ing character-based and byte-based neural machine translation systems. The main motivation of the byte-based neural ma- chine translation system is to build multi- lingual neural ... -
Character-based neural machine translation
(2016)
Conference lecture
Open AccessNeural Machine Translation (MT) has reached state-of-the-art results. However, one of the main challenges that neural MT still faces is dealing with very large vocabularies and morphologically rich languages. In this paper, ... -
Character-level intra attention networks for natural language inference
(2017)
Conference lecture
Open AccessNatural language inference (NLI) is a central problem in language understand- ing. End-to-end artificial neural networks have reached state-of-the-art performance in NLI field recently. In this paper, we propose Character- ... -
Chinese–Spanish neural machine translation enhanced with character and word bitmap fonts
(2017-04-06)
Article
Open AccessRecently, machine translation systems based on neural networks have reached state-of-the-art results for some pairs of languages (e.g., German–English). In this paper, we are investigating the performance of neural machine ...
