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, computer technology and statistical methods, so a to evaluate the quality of machine translations generated by different translation software from lexical, syntactical, semantic and pragmatic levels. ... to eliminate people's bias to the machine translation, so as to make people have a deeper understanding of the advantages and disadvantages of machine translation and improve the machine translation software ... At present, the principle of machine translation automatic evaluation system is based on N-element matching, editing distance and error rate. ...doi:10.11648/j.ijalt.20210702.15 fatcat:5za7cgzgrrfmfiipcftr2ej74y
This paper presents a new principled approach to context-aware machine translation. ... The proposed approach reformulates the posterior probability of a translation hypothesis given the source input by incorporating the source-context information as an additional conditioning variable. ... Based on this, we propose a principled reformulation that allows for introducing context-awareness into the statistical machine translation framework. ...doi:10.3115/v1/w14-1013 dblp:conf/hytra/Banchs14 fatcat:flsmv7kicbhudcwtic5kahw36i
We also thank Aline Remael for her advice throughout the publication process and for some of the final formal editing with Jeremy Schreiber. ... Our sincere thanks also go to the reviewers who helped us to assure the highest level of quality for this publication: Joost Buysschaert, Gloria Corpas Pastor, Alian Desilets, Andreas Eisele, Frederico ... Part I closes with yet another perspective on the evaluation of Machine Translation: recipient evaluation. This study is another nice application of the context-based evaluation of MT. ...doi:10.52034/lanstts.v8i.242 fatcat:oxnv7yrt2ngpbd5vw67bnymerq
/English application; 9502784 spoken dialogue evaluation, corpus-based local context analysis meth- od, bidirectional English-Japanese translation prototype system im- plementation; 9503924 translation ... problems, dialogue-based model LIDIA 1.0; 9502768 machine translation, comparative syntactic stylistics model develop- ment, French-English data; 9502771 machine translation, electronic dictionary criteria ...
Automatic evaluation of output quality for machine translation systems is a difficult task. ... This paper introduces the basic principles of MTE, its implementation techniques and the practice experiences. ... To deepen the depth of evaluation We want to evaluate the output quality of machine translation based on context analysis. 5. To implement standardization 6. ...doi:10.1007/bf00981248 fatcat:rjs52cq4nbe5fpsmvekyqiwpyi
The Alignment Template Approach to Statistical Machine Translation Franz Josef Och’ Hermann Ney' Google RWTH Aachen A phrase-based statistical machine translation approach — the alignment template approach ... This is the goal of statistical machine translation. The use of statistical techniques in machine translation has led to dramatic im- provements in the quality of research systems in recent years. ...
effectiveness of machine translation models based on fusion principles. ... The model is mainly based on neural machine translation, and the statistical machine translation vocabulary alignment structure is integrated on the basis of neural networks and continuous expression of ... effectiveness of machine translation models based on fusion principles. ...doi:10.1155/2021/5564705 fatcat:t2kizmktwbfhjogelf7hqoafuy
Introduction of deep neural networks to the machine translation research ameliorated conventional machine translation systems in multiple ways, specifically in terms of translation quality. ... Attention mechanism was employed with a view to addressing the problem of translating lengthy sentences (sentences contain more than 50 words), and the system was able to perceive long-term contexts in ... Human evaluation scores are shown in Table 8 . Automatic evaluation of machine translation results has equal importance as that of human evaluation. ...doi:10.1515/jisys-2019-2510 fatcat:izu7zhjhbrexxpvwg4tae4ah4y
of experimental framework for comparing machine translation techniques using open-source translation tools. ... Communication by means of a system of communication based upon words and the combination of words into sentences, referred as linguistic communication. ... program and decodes more quickly. Less principles at least in theory Context Based Machine Translation (CBMT) The context based machine translation is being produced as a corpus-based technique that ...doi:10.5120/ijca2015905955 fatcat:a3ljgr3iojdlzjilsjf6k3h36q
Although the translation accuracy and overall situation of machine translation based on artificial intelligence are similar to that of human translation, the basic algorithm of machine translation is still ... Therefore, based on this background, this paper discusses the impact of the development of artificial intelligence machine translation on the relationship between human translation and machine translation ... In this context, we should also reconsider the relationship between machine translation and human translation. erefore, this paper focuses on the principle of artificial intelligence machine translation ...doi:10.1155/2022/9121636 fatcat:q3stw5d2p5djld2ye75q34vnhe
After comparing the processes of human and machine translation, the third chapter of the book is based on a more practical perspective. ... There is a final appendix at the end of this chapter. This book is a very comprehensive introduction to the concepts and principles that characterize machine translation. ...doi:10.14198/raei.2003.16.25-3 fatcat:qp6o7cqffjaolnn6addno5fn3m
New Trends in Computer Graphics
Analysis of the abstract machine model underlying this implementation suggests a general purpose programming paradigm based on definitive principles that can be applied to more ambitious applications. ... This paper describes the application of a definitive (definition-based) programming paradigm to graphics software. ... Acknowledgements We are much indebted to David Angier, Tim Bissell and Steve Hunt for contributions to the design of DoNaLD. We also wish to thank Mike Slade for helpful comments and suggestions. ...doi:10.1007/978-3-642-83492-9_40 fatcat:pjllsqx76vdivkgopfjxviz4qy
Neural machine translation (NMT) is a recent and effective technique which led to remarkable improvements in comparison of conventional machine translation techniques. ... We have compared the performance of our NMT model with automatic evaluation matrices such as BLEU, perplexity and TER matrix. ... Statistical Machine Translation Statistics based approach for machine translation does not utilize any traditional linguistic data. It basically works on the principle of probability. ...arXiv:2002.02758v1 fatcat:pbibw4ihafhdrc6lrpxhnffvp4
After discussing the context of the study and the process of machine translation, an analysis of fragments of the selected specialist text (an EU regulation) is carried out. ... can be a serviceable method for small LSPs and freelance translators to evaluate the usefulness of neural machine translation engines. ... Bogucki 2009): example-based translation methods (EBMT) coupled with fuzzy logic principles have been developed in parallel with rule-based translation (RBT) systems. ...doi:10.26881/bp.2020.4.02 fatcat:zacxnlyrunfnhj7gokq4wug3ee
This paper improved the performance of machine translation based on deep learning network and studied the intelligent recognition of English-Chinese machine translation models. ... Based on the neural machine translation model Google Neural Machine Translation (GNMT), this paper conducted experimental analysis on the above improved methods on three different scale datasets. ... Acknowledgments is work was supported by the Research Project of Social Science Planning in Shandong Province, a study on the translation strategies of the International Image and publicity of the major ...doi:10.1155/2022/5029770 fatcat:4ijbi7myafeqnewd42ivoluiuq
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