scholarly journals POTENTIAL FOR THE USE OF ICT IN TEACHING SCIENTIFIC AND TECHNICAL TRANSLATION

2020 ◽  
Vol 76 (2) ◽  
pp. 86-95
Author(s):  
Оксана Борисівна Бігич ◽  
Валентина Василівна Стрілець
Keyword(s):  
Machine Translation ◽  
Professional Training ◽  
General Purpose ◽  
Word Processor ◽  
Linguistic Knowledge ◽  
Advantages And Disadvantages ◽  
Text Corpora ◽  
Technical Translation ◽  
Ict Tools ◽  
Translation Systems

The article analyzes the features of both general-purpose and translation ICT tools, which can be applied at different stages of scientific and technical translation and, accordingly, in the process of would-be translators’ professional training. General-purpose ICT tools include a Word processor as a means of the target text formatting and finalizing; search engines necessary for widening background, subject-matter and linguistic knowledge at the information-reference and terminology search stages; means of electronic communication, in particular email, providing interaction among the translation project participants. The paper focuses on advantages and disadvantages of translation ICT tools: translation databases (Reverso context); electronic dictionaries (ABBYY Lingvо, multitran) necessary for improving and expanding would-be translators’ vocabulary; electronic text corpora as sources of authentic linguistic materials, machine translation systems (Google Translate) and CAT tools (Trados, SmartCAT) capable of accelerating target text drafting. In the context of machine translation analysis, the necessity to determine the indicators of machine translatability and to carry out source text pre-editing based on controlled language rules and target text post-editing is emphasized. It is pointed out that CAT tools can increase translators’ performance, provide terminology consistency and enable translation project management; at the same time, their application requires developing special skills. A number of issues that need further research are outlined: concretizing the translator training stages appropriate for introducing specific ICT tools; the ratio of the training time allotted for pen and paper translation and ICT-based one; the expediency of applying machine translation systems, in particular Google Translate, in each particular case.

scholarly journals Students’ Common Mistakes in Technical Texts When Using Computer Technologies

2018 ◽  
Vol 50 ◽  
pp. 01014
Author(s):  
Tatiana Klepikova
Keyword(s):  
Machine Translation ◽  
Electrical Engineering ◽  
National Committee ◽  
Main Task ◽  
Advantages And Disadvantages ◽  
Computer Technologies ◽  
Technical Translation ◽  
Electronic Dictionary ◽  
Hybrid Machine Translation ◽  
Translation Systems

The paper considers the possibilities of using computer technologies by students in the translation of scientific and technical texts on power and electrical engineering. The main task of the study was to identify advantages and disadvantages of machine or computer-aided translation through their comparison and to define the possibility of their use in the translation of texts on power and electrical engineering. Among other types, students and post-graduates prefer machine translation. The comparison of two the most popular machine translation systems on the basis of Google Translate statistics and PROMT rules texts on power and electrical engineering showed that the Google Translate gives the better quality translation of special terms of this subject-matter. The majority of participants of the students’ international competition on written translation of the CIGRE Russian National Committee use Google Translate and PROMT. Translation mistakes are the result of insufficient language training and indistinct understanding of the described technical process. When translating written texts students shall apply post-editing and use the electronic dictionary Multitran. The development of hybrid machine translation systems on the basis of rules and statistics will allow shifting to a qualitatively new level of technical translation. The quality of students’ translations significantly increases if they participate in international and domestic competitions and get a profound knowledge of specialized subjects.

scholarly journals Pedagogical technologies of machine translation skills forming on the example of bachelor students specializing in mechatronics and robotics at Don State Technical University

2021 ◽  
Vol 273 ◽  
pp. 12140
Author(s):  
Irina Gritsay ◽  
Liubov Vodyanitskaya
Keyword(s):  
Foreign Language ◽  
Machine Translation ◽  
Professional Training ◽  
Special Program ◽  
Technical Documentation ◽  
State Technical ◽  
Advantages And Disadvantages ◽  
Classroom Studies ◽  
Definition Of ◽  
And Robotics

In this paper the authors took into consideration professional training of specialists who can use technical documentation in a foreign language. The definition of machine translation, its value, main advantages and disadvantages were examined. This research showed the importance of machine translation and the need to train students of technical specialties in MT skills. The model of a special program for training students and its theoretical and practical parts were described. Based on the results of the error analysis, the error types were categorized into 3 categories. The results of the tests were analysed and shown in the tables. A significant decrease in the number of errors was noted. Based on the findings, pedagogical implications were discussed regarding how teachers can successfully and effectively incorporate MT into the classroom studies.

scholarly journals Machine translation systems and guidebooks: an approach to the importance of the role of the human translator

2020 ◽  
Author(s):  
Adrián Fuentes-Luque ◽  
Alexandra Santamaría Urbieta
Keyword(s):  
Machine Translation ◽  
Computer Assisted ◽  
Working Environments ◽  
Translation Tools ◽  
Technical Translation ◽  
Complete Translation ◽  
Translation Systems ◽  
Tourist Guides

Computer-assisted translation tools are increasingly supplemented by the presence of machine translation (MT) in different areas and working environments, from technical translation to translation in international organizations. MT is also present in the translation of tourism texts, from brochures to food menus, websites and tourist guides. Its need or suitability for use is the subject of growing debate. This article presents a comparative analysis of tourist guides translated by a human translator and three machine translation systems. The aims are to determine a first approach to the level of quality of machine translation in tourist texts and to establish whether some tourist texts can be translated using machine translation alone or whether human participation is necessary, either for the complete translation of the text or only for post-editing tasks.

Hybrid Combination of Machine Translation with Part-of-Speech Analysis

2013 ◽  
Vol 416-417 ◽  
pp. 1552-1557
Author(s):  
Xiao Xu Hu
Keyword(s):  
Machine Translation ◽  
Linguistic Knowledge ◽  
Main Method ◽  
Advantages And Disadvantages ◽  
Part Of Speech ◽  
Word Level ◽  
The Arts ◽  
Sentence Level ◽  
Hybrid Framework ◽  
The Rich

Hypothesis combination is a main method to improve the performance of machine translation (MT) system. The state-of-the-arts strategies include sentence-level and word-level methods, which has its own advantages and disadvantages. And, the current strategies mainly depends on the statistical method with little guidance from the rich linguistic knowledge. This paper propose hybrid framework to combine the ability of the sentence-level and word-level methods. In word-level stage, the method select the well translated words according to its part-of-speech and translation ability of this part-of-speech of the MT system which generate this word. The experimental results with different MT systems proves the effectiveness of this approach.

scholarly journals Tradução automática, ma non troppo

2015 ◽  
Vol 7 (1) ◽  
Author(s):  
Anabela Barreiro
Keyword(s):  
Quality Assurance ◽  
Machine Translation ◽  
Human Factor ◽  
Linguistic Knowledge ◽  
Translation Quality ◽  
Verb Constructions ◽  
Multiword Units ◽  
Core Value ◽  
Translation Systems

This paper describes two machine translation tasks that require language expertise: (1) paraphrasing as a technique to prepare texts for translation and a method for linguistic quality assurance, and (2) the evaluation of translation produced by machine translation systems. These tasks will be exemplified through support verb constructions, a subtype of multiword units that machine translation systems have difficulty translating. The paper raises awareness of the need to integrate enhanced linguistic knowledge in machine translation systems and the need to place the human factor as a core value in order to ensure translation quality.

The Varibility of Reproduction: Emotive Units in a Literary Text (On the material of Ukrainian, Russian and Chinese) Variation of reflection of English-speaking emotional units in the translation of an artistic work (in Ukrainian, Russian, Chinese)

2019 ◽  
Vol 26 (27) ◽  
pp. 211-222
Author(s):  
Yana Fedorko ◽  
Tetiana Yablonskaya
Keyword(s):  
Key Words ◽  
Machine Translation ◽  
Political Discourse ◽  
Literary Text ◽  
Translation Quality ◽  
Automatic Translation ◽  
Advantages And Disadvantages ◽  
English Speaking ◽  
Translation Systems

The article is focused on peculiarities of English and Chinese political discourse translation into Ukrainian. The advantages and disadvantages of machine translation are described on the basis of linguistic analysis of online Google Translate and M-Translate systems. The reasons of errors in translation are identified and the need of post-correction to improve the quality of translation is wanted. Key words: political discourse, automatic translation, online machine translation systems, machine translation quality assessment.

Words, constructions and corpora: Network representations of constructional semantics for Mandarin space particles

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Alvin Cheng-Hsien Chen
Keyword(s):  
Clustering Coefficient ◽  
Linguistic Knowledge ◽  
Scale Free ◽  
Network Analyses ◽  
Semantic Fields ◽  
Text Corpora ◽  
Quantitative Properties ◽  
Local Clustering Coefficient ◽  
Linguistic Units

AbstractIn this study, we aim to demonstrate the effectiveness of network science in exploring the emergence of constructional semantics from the connectedness and relationships between linguistic units. With Mandarin locative constructions (MLCs) as a case study, we extracted constructional tokens from a representative corpus, including their respective space particles (SPs) and the head nouns of the landmarks (LMs), which constitute the nodes of the network. We computed edges based on the lexical similarities of word embeddings learned from large text corpora and the SP-LM contingency from collostructional analysis. We address three issues: (1) For each LM, how prototypical is it of the meaning of the SP? (2) For each SP, how semantically cohesive are its LM exemplars? (3) What are the emerging semantic fields from the constructional network of MLCs? We address these questions by examining the quantitative properties of the network at three levels: microscopic (i.e., node centrality and local clustering coefficient), mesoscopic (i.e., community) and macroscopic properties (i.e., small-worldness and scale-free). Our network analyses bring to the foreground the importance of repeated language experiences in the shaping and entrenchment of linguistic knowledge.

A first-pass approach for evaluating machine translation systems

1993 ◽  
Vol 8 (1-2) ◽  
pp. 49-58 ◽  
Author(s):  
Pamela W. Jordan ◽  
Bonnie J. Dorr ◽  
John W. Benoit
Keyword(s):  
Machine Translation ◽  
First Pass ◽  
Translation Systems
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