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Machine Translation Quality Assessment of Selected Works of Xiaoping Deng Supported by Digital Humanistic Method
2021
International Journal of Applied Linguistics and Translation
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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
A Principled Approach to Context-Aware Machine Translation
2014
Proceedings of the 3rd Workshop on Hybrid Approaches to Machine Translation (HyTra)
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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
Evaluation of Translation Technology
2021
Linguistica Antverpiensia, New Series – Themes in Translation Studies
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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
Page 850 of Linguistics and Language Behavior Abstracts: LLBA Vol. 29, Issue 2
[page]
1995
Linguistics and Language Behavior Abstracts: LLBA
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/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
1993
Machine Translation
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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
Page 417 of Computational Linguistics Vol. 30, Issue 4
[page]
2004
Computational Linguistics
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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. ...
Translation Mechanism of Neural Machine Algorithm for Online English Resources
2021
Complexity
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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
Neural Machine Translation System for English to Indian Language Translation Using MTIL Parallel Corpus: Special Issue on Natural Language Processing
2019
Journal of Intelligent Systems
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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
Machine Translation Techniques and their Comparative Study
2015
International Journal of Computer Applications
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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
The Relationship between Machine Translation and Human Translation under the Influence of Artificial Intelligence Machine Translation
2022
Mobile Information Systems
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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
Schwarlz, Anja (2001). The (im)possibilities of machine translation. Peter Lang. Frankfurt am Main. 323 pages
2003
Revista Alicantina de Estudios Ingleses
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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
Implementing a Definitive Notation for Interactive Graphics
[chapter]
1988
New Trends in Computer Graphics
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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 System of Indic Languages – An Attention based Approach
[article]
2020
arXiv
pre-print
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2019
2019 Second International Conference on Advanced Computational and Communication Paradigms (ICACCP)
unpublished
doi:10.1109/icaccp.2019.8882969 fatcat:5ni56uhunbhydchsipjrbz5ily
doi:10.1109/icaccp.2019.8882969 fatcat:5ni56uhunbhydchsipjrbz5ily
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
Beyond MT metrics in specialised translation: Automated and manual evaluation of machine translation output for freelance translators and small LSPs in the context of EU documents
2021
Beyond Philology : An International Journal of Linguistics, Literary Studies and English Language Teaching
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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
Design of Intelligent Recognition English Translation Model Based on Deep Learning
2022
Journal of Mathematics
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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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