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Leveraging Rule-Based Machine Translation Knowledge for Under-Resourced Neural Machine Translation Models 在资源不足的神经机器翻译模型中利用基于规则的机器翻译知识
Machine Translation Summit Pub Date : 2019-08-19 DOI: 10.13025/PRGJ-BK28
Daniel Torregrosa, Nivranshu Pasricha, Maraim Masoud, Bharathi Raja Chakravarthi, J. Alonso, Noe Casas, Mihael Arcan
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引用次数: 14
The FAME Speech-to-Speech Translation System for Catalan, English, and Spanish FAME加泰罗尼亚语、英语和西班牙语语音翻译系统
Machine Translation Summit Pub Date : 2007-12-13 DOI: 10.1075/cilt.292.31arr
V. Arranz, Elisabet Comelles Pujadas, D. Farwell
{"title":"The FAME Speech-to-Speech Translation System for Catalan, English, and Spanish","authors":"V. Arranz, Elisabet Comelles Pujadas, D. Farwell","doi":"10.1075/cilt.292.31arr","DOIUrl":"https://doi.org/10.1075/cilt.292.31arr","url":null,"abstract":"This paper describes the evaluation of the FAME interlingua-based speech-to-speech translation system for Catalan, English and Spanish. This system is an extension of the already existing NESPOLE! that translates between English, French, German and Italian. This article begins with a brief introduction followed by a description of the system architecture and the components of the translation module including the Speech Recognizer, the analysis chain, the generation chain and the Speech Synthesizer. Then we explain the interlingua formalism used, called Interchange Format (IF). We show the results obtained from the evaluation of the system and we describe the three types of evaluation done. We also compare the results of our system with those obtained by a stochastic translator which has been independently developed over the course of the FAME project. Finally, we conclude with future work.","PeriodicalId":188553,"journal":{"name":"Machine Translation Summit","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131355656","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: 1
Inter-rater Agreement Measures, and the Refinement of Metrics in the PLATO MT Evaluation Paradigm 评估者之间的协议度量，以及PLATO MT评估范式中度量的细化
Machine Translation Summit Pub Date : 2005-07-01 DOI: 10.21236/ADA456393
Keith J. Miller, M. Vanni
{"title":"Inter-rater Agreement Measures, and the Refinement of Metrics in the PLATO MT Evaluation Paradigm","authors":"Keith J. Miller, M. Vanni","doi":"10.21236/ADA456393","DOIUrl":"https://doi.org/10.21236/ADA456393","url":null,"abstract":"Abstract : The PLATO machine translation (MT) evaluation (MTE) research program has as a goal the systematic development of a predictive relationship between discrete, well-defined MTE metrics and the specific information processing tasks that can be reliably performed with MT output. Traditional measures of quality, informed by International Standards for Language Engineering (ISLE), namely, clarity, coherence, morphology, syntax, general and domain-specific lexical robustness, and named-entity translation, as well as a DARPA-inspired measure of adequacy are at the core of the program. For robust validation, indispensable for refinement of test and guidelines, we conduct tests of inter-rater reliability on the assessments. Here we discuss development and report on results of our inter-rater reliability tests, focusing on results for Clarity and the Coherence, the first two assessments in the PLATO suite, and we discuss our method for iteratively refining our linguistic metrics and the guidelines for applying them within the PLATO evaluation paradigm. Finally, we discuss reasons why kappa might not be the best measure of inter-rater agreement for our purposes, and suggest directions for future investigation.","PeriodicalId":188553,"journal":{"name":"Machine Translation Summit","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121484558","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: 17
Verbmobil: Translation of Face-To-Face Dialogs 面对面对话的翻译
Machine Translation Summit Pub Date : 1993-09-13 DOI: 10.22028/D291-24923
W. Wahlster
{"title":"Verbmobil: Translation of Face-To-Face Dialogs","authors":"W. Wahlster","doi":"10.22028/D291-24923","DOIUrl":"https://doi.org/10.22028/D291-24923","url":null,"abstract":"Verbmobil is a long-term project on the translation of spontaneous language in negotiation dialogs. We describe the goals of the project, the chosen discourse domains and the initial project schedule. We discuss some of the distinguishing features of Verbmobil and introduce the notion of translation on demand and variable depth of processing in speech translation. Finally, the role of anytime modules for efficient dialog translation in close to real time is described.","PeriodicalId":188553,"journal":{"name":"Machine Translation Summit","volume":"502 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1993-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132172541","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: 867
Neural machine translation system for the Kazakh language 哈萨克语神经机器翻译系统
Machine Translation Summit Pub Date : 1900-01-01 DOI: 10.1051/MATECCONF/201925203006
U. Tukeyev, Z. Zhumanov
{"title":"Neural machine translation system for the Kazakh language","authors":"U. Tukeyev, Z. Zhumanov","doi":"10.1051/MATECCONF/201925203006","DOIUrl":"https://doi.org/10.1051/MATECCONF/201925203006","url":null,"abstract":"The lack of big parallel data is present for the Kazakh language. This problem seriously impairs the quality of machine translation from and into Kazakh. This article considers the neural machine translation of the Kazakh language on the basis of synthetic corpora. The Kazakh language belongs to the Turkic languages, which are characterised by rich morphology. Neural machine translation of natural languages requires large training data. The article will show the model for the creation of synthetic corpora, namely the generation of sentences based on complete suffixes for the Kazakh language. The novelty of this approach of the synthetic corpora generation for the Kazakh language is the generation of sentences on the basis of the complete system of suffixes of the Kazakh language. By using generated synthetic corpora we are improving the translation quality in neural machine translation of Kazakh-English and Kazakh-Russian pairs.","PeriodicalId":188553,"journal":{"name":"Machine Translation Summit","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131045430","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
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