Use of Neural Machine Translation Software for Patients With Limited English Proficiency to Assess Postoperative Pain and Nausea
Sign Up to like & getrecommendations! Published in 2022 at "JAMA Network Open"
DOI: 10.1001/jamanetworkopen.2022.1485
Abstract: This cohort study investigates the use of neural machine translation software to assess postoperative pain and nausea among patients with limited English proficiency. read more here.
Keywords: assess postoperative; use neural; neural machine; postoperative pain ... See more keywords
Multilingual Communication via Best-Balanced Machine Translation
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DOI: 10.1007/s00354-018-0041-7
Abstract: It is known that creative ideas are often generated by correspondents from different cultures, but it remains true that distance still matters due to the language barrier. To enhance multilingual communication, this paper proposes the… read more here.
Keywords: machine; multilingual communication; machine translation; best balanced ... See more keywords
Statistical machine translation of Indian languages: a survey
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DOI: 10.1007/s00521-017-3206-2
Abstract: In this study, performance analysis of a state-of-art phrase-based statistical machine translation (SMT) system is presented on eight Indian languages. State of the art in SMT on different Indian languages to English language has also… read more here.
Keywords: machine translation; indian languages; statistical machine; study ... See more keywords
Improving neural machine translation for low-resource Indian languages using rule-based feature extraction
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DOI: 10.1007/s00521-020-04990-9
Abstract: Languages help to unite the world socially, culturally and technologically. Different natives communicate in different languages; there is a tremendous requirement for inter-language information translation process to transfer and share information and ideas. Though Sanskrit… read more here.
Keywords: machine translation; rule based; neural machine; translation ... See more keywords
Discriminative ridge regression algorithm for adaptation in statistical machine translation
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DOI: 10.1007/s10044-018-0720-5
Abstract: We present a simple and reliable method for estimating the log-linear weights of a state-of-the-art machine translation system, which takes advantage of the method known as discriminative ridge regression (DRR). Since inappropriate weight estimations lead… read more here.
Keywords: ridge regression; translation; machine translation; discriminative ridge ... See more keywords
VERTa: a linguistic approach to automatic machine translation evaluation
Sign Up to like & getrecommendations! Published in 2018 at "Language Resources and Evaluation"
DOI: 10.1007/s10579-018-9430-2
Abstract: Machine translation (MT) is directly linked to its evaluation in order to both compare different MT system outputs and analyse system errors so that they can be addressed and corrected. As a consequence, MT evaluation… read more here.
Keywords: evaluation; order; machine translation; verta ... See more keywords
Cross-lingual sentiment transfer with limited resources
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DOI: 10.1007/s10590-017-9202-6
Abstract: We describe two transfer approaches for building sentiment analysis systems without having gold labeled data in the target language. Unlike previous work that is focused on using only English as the source language and a… read more here.
Keywords: lingual sentiment; sentiment transfer; machine translation; sentiment ... See more keywords
Segment-based interactive-predictive machine translation
Sign Up to like & getrecommendations! Published in 2017 at "Machine Translation"
DOI: 10.1007/s10590-017-9213-3
Abstract: Machine translation systems require human revision to obtain high-quality translations. Interactive methods provide an efficient human–computer collaboration, notably increasing productivity. Recently, new interactive protocols have been proposed, seeking for a more effective user interaction with… read more here.
Keywords: based interactive; segment based; machine translation; translation ... See more keywords
Quantitative fine-grained human evaluation of machine translation systems: a case study on English to Croatian
Sign Up to like & getrecommendations! Published in 2018 at "Machine Translation"
DOI: 10.1007/s10590-018-9214-x
Abstract: This paper presents a quantitative fine-grained manual evaluation approach to comparing the performance of different machine translation (MT) systems. We build upon the well-established multidimensional quality metrics (MQM) error taxonomy and implement a novel method… read more here.
Keywords: machine; phrase; machine translation; fine grained ... See more keywords
An error analysis for image-based multi-modal neural machine translation
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DOI: 10.1007/s10590-019-09226-9
Abstract: In this article, we conduct an extensive quantitative error analysis of different multi-modal neural machine translation (MNMT) models which integrate visual features into different parts of both the encoder and the decoder. We investigate the… read more here.
Keywords: error analysis; multi modal; image; machine translation ... See more keywords
Post-editing neural machine translation versus phrase-based machine translation for English–Chinese
Sign Up to like & getrecommendations! Published in 2019 at "Machine Translation"
DOI: 10.1007/s10590-019-09229-6
Abstract: This paper aims to shed light on the post-editing process of the recently-introduced neural machine translation (NMT) paradigm. Using simple and more complex texts, we first evaluate the output quality from English to Chinese phrase-based… read more here.
Keywords: machine translation; neural machine; post editing;