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Special issue: Sign language translation and avatar technology 特刊:手语翻译与化身技术
IF 1.9
MACHINE TRANSLATION Pub Date : 2021-06-08 DOI: 10.1007/s10590-021-09270-4
Rosalee J. Wolfe
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引用次数: 7
Motion synthesis and editing for the generation of new sign language content 生成新的手语内容的动作合成和编辑
IF 1.9
MACHINE TRANSLATION Pub Date : 2021-06-07 DOI: 10.1007/s10590-021-09268-y
Lucie Naert, Caroline Larboulette, S. Gibet
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引用次数: 10
MSVD-Turkish: a comprehensive multimodal video dataset for integrated vision and language research in Turkish MSVD-Turkish:一个综合的多模态视频数据集，用于土耳其语的综合视觉和语言研究
IF 1.9
MACHINE TRANSLATION Pub Date : 2021-06-01 DOI: 10.1007/s10590-021-09276-y
Begum Citamak, Ozan Caglayan, Menekse Kuyu, Erkut Erdem, Aykut Erdem, P. Madhyastha, Lucia Specia
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引用次数: 2
Parallel feature weight decay algorithms for fast development of machine translation models 用于快速开发机器翻译模型的并行特征权重衰减算法
IF 1.9
MACHINE TRANSLATION Pub Date : 2021-06-01 DOI: 10.1007/s10590-021-09275-z
Ergun Biçici
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引用次数: 2
Philipp Koehn: Neural Machine Translation Philipp Koehn:神经机器翻译
IF 1.9
MACHINE TRANSLATION Pub Date : 2021-06-01 DOI: 10.1007/s10590-021-09277-x
Wandri Jooste, Rejwanul Haque, Andy Way
{"title":"Philipp Koehn: Neural Machine Translation","authors":"Wandri Jooste, Rejwanul Haque, Andy Way","doi":"10.1007/s10590-021-09277-x","DOIUrl":"https://doi.org/10.1007/s10590-021-09277-x","url":null,"abstract":"","PeriodicalId":44400,"journal":{"name":"MACHINE TRANSLATION","volume":"35 1","pages":"289 - 299"},"PeriodicalIF":1.9,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s10590-021-09277-x","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"52027966","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Semantic and syntactic information for neural machine translation 神经机器翻译的语义和句法信息
IF 1.9
MACHINE TRANSLATION Pub Date : 2021-04-01 DOI: 10.1007/s10590-021-09264-2
Jordi Armengol-Estapé, M. Costa-jussà
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引用次数: 3
Introduction to the second issue on machine translation for low-resource languages 关于低资源语言的机器翻译的第二个问题的介绍
IF 1.9
MACHINE TRANSLATION Pub Date : 2021-04-01 DOI: 10.1007/s10590-021-09265-1
Chao-Hong Liu, Alina Karakanta, Audrey Tong, O. Aulov, I. Soboroff, Jonathan North Washington, Xiaobing Zhao
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引用次数: 0
ThamizhiMorph: A morphological parser for the Tamil language ThamizhiMorph:泰米尔语的形态解析器
IF 1.9
MACHINE TRANSLATION Pub Date : 2021-04-01 DOI: 10.1007/s10590-021-09261-5
Kengatharaiyer Sarveswaran, G. Dias, Miriam Butt
{"title":"ThamizhiMorph: A morphological parser for the Tamil language","authors":"Kengatharaiyer Sarveswaran, G. Dias, Miriam Butt","doi":"10.1007/s10590-021-09261-5","DOIUrl":"https://doi.org/10.1007/s10590-021-09261-5","url":null,"abstract":"","PeriodicalId":44400,"journal":{"name":"MACHINE TRANSLATION","volume":"35 1","pages":"37 - 70"},"PeriodicalIF":1.9,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s10590-021-09261-5","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"52027886","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 6
Context based machine translation with recurrent neural network for English–Amharic translation 基于上下文的递归神经网络机器翻译英阿姆哈拉语翻译
IF 1.9
MACHINE TRANSLATION Pub Date : 2021-04-01 DOI: 10.1007/s10590-021-09262-4
Yeabsira Asefa Ashengo, Rosa Tsegaye Aga, S. Abebe
{"title":"Context based machine translation with recurrent neural network for English–Amharic translation","authors":"Yeabsira Asefa Ashengo, Rosa Tsegaye Aga, S. Abebe","doi":"10.1007/s10590-021-09262-4","DOIUrl":"https://doi.org/10.1007/s10590-021-09262-4","url":null,"abstract":"","PeriodicalId":44400,"journal":{"name":"MACHINE TRANSLATION","volume":"35 1","pages":"19 - 36"},"PeriodicalIF":1.9,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s10590-021-09262-4","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43490179","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 16
Read, spot and translate. 阅读，发现并翻译。
IF 1.9
MACHINE TRANSLATION Pub Date : 2021-01-01 Epub Date: 2021-04-04 DOI: 10.1007/s10590-021-09259-z
Lucia Specia, Josiah Wang, Sun Jae Lee, Alissa Ostapenko, Pranava Madhyastha
{"title":"Read, spot and translate.","authors":"Lucia Specia,&nbsp;Josiah Wang,&nbsp;Sun Jae Lee,&nbsp;Alissa Ostapenko,&nbsp;Pranava Madhyastha","doi":"10.1007/s10590-021-09259-z","DOIUrl":"https://doi.org/10.1007/s10590-021-09259-z","url":null,"abstract":"<p><p>We propose multimodal machine translation (MMT) approaches that exploit the correspondences between words and image regions. In contrast to existing work, our referential grounding method considers <i>objects</i> as the visual unit for grounding, rather than whole images or abstract image regions, and performs visual grounding in the <i>source</i> language, rather than at the decoding stage via attention. We explore two referential grounding approaches: (i) implicit grounding, where the model jointly learns how to ground the source language in the visual representation and to translate; and (ii) explicit grounding, where grounding is performed independent of the translation model, and is subsequently used to guide machine translation. We performed experiments on the Multi30K dataset for three language pairs: English-German, English-French and English-Czech. Our referential grounding models outperform existing MMT models according to automatic and human evaluation metrics.</p>","PeriodicalId":44400,"journal":{"name":"MACHINE TRANSLATION","volume":"35 2","pages":"145-165"},"PeriodicalIF":1.9,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s10590-021-09259-z","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39889704","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
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