Design and Implement of Chinese Medicine System Based on Machine Translation

2014 ◽  
Vol 687-691 ◽  
pp. 1708-1711 ◽  
Author(s):  
Xin Xin Chen
Keyword(s):  
Chinese Medicine ◽  
Machine Translation ◽  
Recognition System ◽  
Team Management ◽  
Cloud Platform ◽  
Translation Memory ◽  
Input Method ◽  
Translation Tools ◽  
The Relationship ◽  
Detection And Recognition

This paper mainly studied how to inject the project team management into the collaborative translation tools based on the cloud platform, so as to better coordinate the relationship between different translators and translation project, and the aided translation input method will be introduced to collaborative translation platform, as a bridge between the translator and the collaborative translation platform, to effectively improve the efficiency of different translators. At the same time we realize the terms detection and recognition system and translation memory system, to not only improve the efficiency of different translators, but also can solve the problem that translation content repetition and lack of communication between different translators.

scholarly journals UHF PD Experiments on Real Power Transformer and its Frequency Characteristics Results

2016 ◽  
Vol 6 (1) ◽  
pp. 906-912
Author(s):  
H. Fan ◽  
J. Hu ◽  
H. Liu ◽  
Y. Yin ◽  
M. Danikas
Keyword(s):  
High Frequency ◽  
Power Transformer ◽  
Detection System ◽  
Wavelet Packet ◽  
Low Frequency ◽  
Recognition System ◽  
Frequency Range ◽  
Real Power ◽  
The Relationship ◽  
Detection And Recognition

A number of methods have been used in partial discharge (PD) detection and recognition. Among these methods, ultra-high frequency (UHF) detection and recognition based on a single signal have attracted much attention. In this paper, a UHF PD detection system is built, and samples are acquired through experiments on a real power transformer. The received signal is decomposed into different frequency ranges through wavelet packet decomposition (WPD). In each frequency range, a pattern recognition neural network is built, and then the relationship between the information in that frequency range and PD type is described. By comparing the recognition accuracy of these networks, frequency range selection is optimized. In this specific case (the specific transformer, PD sources, and UHF sensors), results show that low frequency (156.25 MHz to 312.5 MHz) and high frequency ranges (1093.75 MHz to 1250 MHz) contain the most information for recognition. If a PD detection recognition system is to be designed, then the performance around these frequency ranges should be given attention.

Zur maschinenunterstützten Übersetzung von Patentschriften: Der Stellenwert der internen Rekurrenz

Fachsprache ◽  
2017 ◽  
Vol 32 (1-2) ◽  
pp. 18-39
Author(s):  
Heribert Härtinger
Keyword(s):  
Practical Interest ◽  
Point Of View ◽  
Linguistic Features ◽  
Translation Memory ◽  
Search Results ◽  
Translation Tools ◽  
Text Genre ◽  
Functional Features ◽  
High Degree ◽  
The Relationship

The empirical study presented in this paper explores the relationship between the linguistic features of patent specifications as a text genre and the benefits to be gained from usingCAT tools for their translation. The database is a corpus of 60 complete original (i.e. non-translated) texts selected in accordance with the requirements of the task at hand. The study focuses on analysing patterns of intratextual recurrence that are typical of this genre with a view to examining their impact on the retrieval performance of commercial translation memory (TM) systems. Using the model developed by Reinke (2004) for comparing sentence content, it also looks at genre characteristics that may affect the usability of the search results. The test software was the Translator's Workbench by SDL/Trados (version 7.0.0). The results confirm that it makes sense from a linguistic point of view to use TM systems for patent translations for two reasons: first, because the corpus was found to contain a broad spectrum of recurring sentences, clauses and complex phrases, which is characteristic of this text genre, and second, because the analysis showed that the structural, argumentative and functional features of patent documents have a positive effecton the usability of the search results. The study is also of practical interest because patents are a frequently translated LSP genre, which, despite its high degree of linguistic standardisation, has so far not been one of the areas where memory-based translation tools are routinely used.

scholarly journals Comparative Evaluation of Translation Memory (TM) and Machine Translation (MT) Systems in Translation between Arabic and English

2021 ◽  
Author(s):  
◽  
Khaled Mamer Ben Milad ◽  
Keyword(s):  
Machine Translation ◽  
Online Survey ◽  
Training Data ◽  
Translation Memory ◽  
Linguistic Feature ◽  
Translation Quality ◽  
Translation Tools ◽  
Ranking Criteria ◽  
Arabic And English

In general, advances in translation technology tools have enhanced translation quality significantly. Unfortunately, however, it seems that this is not the case for all language pairs. A concern arises when the users of translation tools want to work between different language families such as Arabic and English. The main problems facing Arabic<>English translation tools lie in Arabic’s characteristic free word order, richness of word inflection – including orthographic ambiguity – and optionality of diacritics, in addition to a lack of data resources. The aim of this study is to compare the performance of translation memory (TM) and machine translation (MT) systems in translating between Arabic and English.The research evaluates the two systems based on specific criteria relating to needs and expected results. The first part of the thesis evaluates the performance of a set of well-known TM systems when retrieving a segment of text that includes an Arabic linguistic feature. As it is widely known that TM matching metrics are based solely on the use of edit distance string measurements, it was expected that the aforementioned issues would lead to a low match percentage. The second part of the thesis evaluates multiple MT systems that use the mainstream neural machine translation (NMT) approach to translation quality. Due to a lack of training data resources and its rich morphology, it was anticipated that Arabic features would reduce the translation quality of this corpus-based approach. The systems’ output was evaluated using both automatic evaluation metrics including BLEU and hLEPOR, and TAUS human quality ranking criteria for adequacy and fluency.The study employed a black-box testing methodology to experimentally examine the TM systems through a test suite instrument and also to translate Arabic English sentences to collect the MT systems’ output. A translation threshold was used to evaluate the fuzzy matches of TM systems, while an online survey was used to collect participants’ responses to the quality of MT system’s output. The experiments’ input of both systems was extracted from Arabic<>English corpora, which was examined by means of quantitative data analysis. The results show that, when retrieving translations, the current TM matching metrics are unable to recognise Arabic features and score them appropriately. In terms of automatic translation, MT produced good results for adequacy, especially when translating from Arabic to English, but the systems’ output appeared to need post-editing for fluency. Moreover, when retrievingfrom Arabic, it was found that short sentences were handled much better by MT than by TM. The findings may be given as recommendations to software developers.

On (Not) Translating Lacan: Barbara Cassin's Sophistico-Analytical Performances

Paragraph ◽  
2020 ◽  
Vol 43 (1) ◽  
pp. 98-113
Author(s):  
Michael Syrotinski
Keyword(s):  
Machine Translation ◽  
Reading And Writing ◽  
The Relationship ◽  
The Way

Barbara Cassin's Jacques the Sophist: Lacan, Logos, and Psychoanalysis, recently translated into English, constitutes an important rereading of Lacan, and a sustained commentary not only on his interpretation of Greek philosophers, notably the Sophists, but more broadly the relationship between psychoanalysis and sophistry. In her study, Cassin draws out the sophistic elements of Lacan's own language, or the way that Lacan ‘philosophistizes’, as she puts it. This article focuses on the relation between Cassin's text and her better-known Dictionary of Untranslatables, and aims to show how and why both ‘untranslatability’ and ‘performativity’ become keys to understanding what this book is not only saying, but also doing. It ends with a series of reflections on machine translation, and how the intersubjective dynamic as theorized by Lacan might open up the possibility of what is here termed a ‘translatorly’ mode of reading and writing.

scholarly journals Translation, from Pen-and-Paper to Computer-Assisted Tools (CAT Tools) and Machine Translation (MT)

Proceedings ◽  
2020 ◽  
Vol 63 (1) ◽  
pp. 56
Author(s):  
Bianca Han
Keyword(s):  
Machine Translation ◽  
Industry 4.0 ◽  
New Technology ◽  
Project Manager ◽  
Computer Assisted ◽  
Translation Process ◽  
Translation Tools

This paper reflects the technology-induced novelty of translation, which is perceived as a bridge between languages and cultures. We debate the extent to which the translation process maintains its specificity in the light of the new technology-enhanced working methods ensured by a large variety of Computer-Assisted Translation (CAT) and Machine Translation (MT) tools that aim to enhance the process, which includes the translation itself, the translator, the translation project manager, the linguist, the terminologist, the reviewer, and the client. This paper also hints at the topic from the perspective of the translation teacher, who needs to provide students with transversal competencies that are suitable for the digital area, supported by the ability to tackle Cloud-based translation tools, in view of Industry 4.0 requirements.

scholarly journals Context-Aware Neural Machine Translation for Korean Honorific Expressions

Electronics ◽  
2021 ◽  
Vol 10 (13) ◽  
pp. 1589
Author(s):  
Yongkeun Hwang ◽  
Yanghoon Kim ◽  
Kyomin Jung
Keyword(s):  
Machine Translation ◽  
Deep Neural Networks ◽  
Contextual Information ◽  
Context Aware ◽  
Neural Machine Translation ◽  
Translation Quality ◽  
Sentence Level ◽  
Proposed Model ◽  
The Given ◽  
The Relationship

Neural machine translation (NMT) is one of the text generation tasks which has achieved significant improvement with the rise of deep neural networks. However, language-specific problems such as handling the translation of honorifics received little attention. In this paper, we propose a context-aware NMT to promote translation improvements of Korean honorifics. By exploiting the information such as the relationship between speakers from the surrounding sentences, our proposed model effectively manages the use of honorific expressions. Specifically, we utilize a novel encoder architecture that can represent the contextual information of the given input sentences. Furthermore, a context-aware post-editing (CAPE) technique is adopted to refine a set of inconsistent sentence-level honorific translations. To demonstrate the efficacy of the proposed method, honorific-labeled test data is required. Thus, we also design a heuristic that labels Korean sentences to distinguish between honorific and non-honorific styles. Experimental results show that our proposed method outperforms sentence-level NMT baselines both in overall translation quality and honorific translations.

The impact of Traditional Chinese Medicine on mitophagy in disease models

2021 ◽  
Vol 27 ◽  
Author(s):  
Li-Ping Yu ◽  
Ting-Ting Shi ◽  
Yan-Qin Li ◽  
Jian-Kang Mu ◽  
Ya-Qin Yang ◽  
...  
Keyword(s):  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Molecular Mechanisms ◽  
Human Diseases ◽  
Regulatory Mechanisms ◽  
Disease Models ◽  
Relationship Of ◽  
The Impact ◽  
The Relationship

: Mitophagy plays an important role in maintaining mitochondrial quality and cell homeostasis through the degradation of damaged, aged, and dysfunctional mitochondria and misfolded proteins. Many human diseases, particularly neurodegenerative diseases, are related to disorders of mitochondrial phagocytosis. Exploring the regulatory mechanisms of mitophagy is of great significance for revealing the molecular mechanisms underlying the related diseases. Herein, we summarize the major mechanisms of mitophagy, the relationship of mitophagy with human diseases, and the role of traditional Chinese medicine (TCM) in mitophagy. These discussions enhance our knowledge of mitophagy and its potential therapeutic targets using TCM.

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