scholarly journals Machine Translation in the Hands of Trainee Translators – an Empirical Study

2017 ◽  
Vol 49 (1) ◽  
pp. 195-212 ◽  
Author(s):  
Joanna Sycz-Opoń ◽  
Ksenia Gałuskina
Keyword(s):  
Empirical Study ◽  
Machine Translation ◽  
Text Analysis ◽  
Special Kind ◽  
Knowledge And Skills ◽  
Automated Translation ◽  
French And English ◽  
Research Questions ◽  
Translation Machine ◽  
Effective Use

Abstract Automated translation (machine translation, MT) is systematically gaining popularity among professional translators, who claim that editing MT output requires less time and effort than translating from scratch. MT technology is also offered in leading translator’s workstations, e.g., SDL Trados Studio, memoQ, Déjà Vu and Wordfast. Therefore, the dilemma arises: should MT be introduced into formal translation training? In order to answer this question, first, it is necessary to understand how trainee translators actually use MT. This study is an attempt to obtain this knowledge. The methodology applied in this investigation is text analysis. During the experiment sessions the students were asked to translate a legal text using MT tools, which in practice meant the post-editing of the MT raw output. The post-edited versions of the text underwent analysis in order to answer the following research questions: - What are the most typical errors contained in both French and English MT output? - How critical are the students towards the text generated by MT? - How perceptive are the students during the post-editing task? - Are they able to detect and correct errors using their knowledge and skills? The results of this study suggest that the post-editing of the MT raw output is as demanding for translation students as traditional translation, however, it requires a different set of skills, such as critical thinking and perceptiveness. Therefore, a special kind of training related to the effective use of MT technology should be implemented during translation classes.

scholarly journals Online Machine Translation: The Students’ Perspective during Quarantine Period Learning Activity

2020 ◽  
Vol 2 (1) ◽  
pp. 30-41
Author(s):  
Ratih Laily Nurjanah ◽  
Deswandito Dwi Saptanto
Keyword(s):  
Machine Translation ◽  
English Literature ◽  
Learning Activities ◽  
Learning Activity ◽  
Internet Connection ◽  
Digital Era ◽  
Automated Translation ◽  
Translation Study ◽  
Research Questions

The role of internet nowadays leads to the increase of online translation usage. The online translation offers various kinds of machine translation besides the-popular- Google Translate. The purpose of this research is to determine the students’ perspective on online machine translation they can easily found on internet related to the learning process on translation study during the quarantine period.. The research questions are; 1) What are the good sides of using online machine translation? 2)What are the shortages of using online machine translation? 3)How does online machine translation help students during learning activities on quarantine period? Online machine translation is automated translation or “translation carried out by a computer” with the internet connection. The subjects of this study were 6th semester students at English Literature Department of Universitas Ngudi Waluyo who had taken subjects related to translation. The research was conducted by delivering survey with google form to gather students’ perspectives. From the results, it is concluded that students were familiar with Google Translation as the online machine translation. Students stated that online machine translation often gives ambiguous translation. The use of online machine translation is helpful especially in terms of saving time. In conclusion, to keep up with the development of digital era, students need to be introduced to various online machine translation to help them work faster and keep improving their translation skill to back up the defects of online machines translation.

English-Dogri Translation System using MOSES

2016 ◽  
Vol 1 (1) ◽  
pp. 45-49
Author(s):  
Avinash Singh ◽  
Asmeet Kour ◽  
Shubhnandan S. Jamwal
Keyword(s):  
Natural Language Processing ◽  
Machine Translation ◽  
Language Processing ◽  
Statistical Machine Translation ◽  
Translation System ◽  
Parallel Corpus ◽  
English System ◽  
Machine Translation System ◽  
Translation Machine ◽  
Language Pair

The objective behind this paper is to analyze the English-Dogri parallel corpus translation. Machine translation is the translation from one language into another language. Machine translation is the biggest application of the Natural Language Processing (NLP). Moses is statistical machine translation system allow to train translation models for any language pair. We have developed translation system using Statistical based approach which helps in translating English to Dogri and vice versa. The parallel corpus consists of 98,973 sentences. The system gives accuracy of 80% in translating English to Dogri and the system gives accuracy of 87% in translating Dogri to English system.

scholarly journals An Empirical Study on Learning Bug-Fixing Patches in the Wild via Neural Machine Translation

2019 ◽  
Vol 28 (4) ◽  
pp. 1-29 ◽  
Author(s):  
Michele Tufano ◽  
Cody Watson ◽  
Gabriele Bavota ◽  
Massimiliano Di Penta ◽  
Martin White ◽  
...  
Keyword(s):  
Empirical Study ◽  
Machine Translation ◽  
Neural Machine Translation ◽  
Bug Fixing ◽  
In The Wild

Research on Machine Translation Technology in English Translation Process

2014 ◽  
Vol 687-691 ◽  
pp. 1210-1213
Author(s):  
Ke Tian
Keyword(s):  
Machine Translation ◽  
English Translation ◽  
Development Process ◽  
Translation System ◽  
Translation Process ◽  
Sentence Meaning ◽  
Cultural Exchanges ◽  
Response Measures ◽  
World Economic ◽  
Translation Machine

Translation plays an important role in the world economic and cultural exchanges. Translation is divided into machine translation and human translation, which is complement each other in promoting world economic and social development process. In this paper, Collaborative Translation gets much attention, along with the growth of collaborative translation, English translation technology also towards a new milestone, the characteristics of collaborative translation process and scientific literature are briefly introduced, and collaborative translation technology English Translation applications made a brief explanation. From the perspective of the development of machine translation, comparative analysis of the characteristics of human translation machine translation strengths and weaknesses, and we make relevant response measures and selection criteria translation approach. The specific translation system is analyzed from the perspective of textual and the Collaborative Translation shortcomings, as well as interpretation of collaborative translation features, functions and its impact on the meaning and sentence meaning.

scholarly journals Political topology of Europe

2019 ◽  
pp. 71-93
Author(s):  
Remigiusz Rosicki
Keyword(s):  
Comparative Analysis ◽  
Civil Liberties ◽  
Geographical Area ◽  
Special Kind ◽  
Research Problem ◽  
Topological Dimension ◽  
Political Actors ◽  
Specific Geographical Area ◽  
Research Questions ◽  
Selection Of

The objective scope of the analysis performed in the text encompasses selected aspects of policy in its topological dimension. The space of policy is understood as both a theoretical construct (a policy field) and relations between the characteristics of political actors and their special kind of geographical co-existence. The following have been recognised as essential characteristics of policymaking: (1) electoral process and pluralism, (2) functioning of government, (3) political participation, (4) political culture and (5) civil liberties. These features can become an object of analysis in the assessment of democratic and authoritarian tendencies in selected countries. The text uses two statistical methods of multidimensional comparative analysis (Ward’s method and k-means method), apart from which use has been made of basic descriptive statistics and a comparative analysis of the values of the parameters of political characteristics. A selection of 40 European countries (EU-28 and 12 other countries) have been subjected to a statistical analysis according to the 2018 data. The main goal of the analysis is to connect facts and characteristics attributed to policy with a specific geographical area. In order to elaborate the objective scope of the research problem, the following research questions have been presented in the text: (1) Which of the characteristics of policy will determine the division of state entities according to a special type of clusters?, (2) Will political characteristics determine the division of particular state entities according to a special type of geographical division? The addressed research questions have been related to the hypotheses subjected to verification in the text.

scholarly journals PENGEMBANGAN MODEL KURSUS WIRAUSAHA DESA PEMBIBITAN KARET UNGGUL UNTUK MENINGKATKAN KOMPETENSI BERWIRAUSAHA WARGA BELAJAR

2011 ◽  
Vol 6 (2) ◽  
pp. 106-116
Author(s):  
Badawi Badawi ◽  
Sutaryat Trisnamansyah
Keyword(s):  
Achievement Motivation ◽  
Significant Contribution ◽  
The Other ◽  
Training Curriculum ◽  
Knowledge And Skills ◽  
Independent Variables ◽  
Significant Difference ◽  
Research Questions

This research is grounded on the fact that a lot of civillians are unemployed as they do not have enough knowledge and skills to work. On the other side, the increasing number of conversions from horticulture plants to rubber plants has caused the people’s demand for top rubber seeds to increase too.This research therefore wanted to find out the type of KWD Model to increase the entrepreneurship competency of the learning participants. Based on this objective, this research developed correlational and differential research questions. The correlational investigation was needed to examine the contribution of the independent variables toward the dependent variable (the increase of the entrepreneurship competency) of the learning participants. Meanwhile the differential investigation was needed to examine the effectiveness of the model.The result of the research indicates there is a positive and significant contribution of the learning participant’s interest, achievement motivation, the learning participant’s participation, technical resourceperson’s competence, the training curriculum, the infrastructure and facilities, the intstructional process, and the executing institution toward the increase of the entrepreneurship competency of of the learning participants both individually or all together. The test of model effectiveness proves a positive and significant difference between the designed model and the existing model. 

An Empirical Investigation of Requirements Specification Languages

2011 ◽  
pp. 125-147
Author(s):  
Erik Kamsties ◽  
Antje von Knethen ◽  
Jan Philipps
Keyword(s):  
Empirical Study ◽  
Formal Specification ◽  
Side Effect ◽  
Quantitative Data ◽  
Empirical Investigation ◽  
Requirements Specification ◽  
Specification Languages ◽  
Correct Interpretation ◽  
Research Questions ◽  
Detection Of Defects

A well-known side-effect of applying requirements specification languages is that the formalization of informal requirements leads to the detection of defects such as omissions, conflicts, and ambiguities. However, there is little quantitative data available on this effect. This chapter presents an empirical study of requirements specification languages, in which two research questions are addressed: Which types of defects are detected by a requirements engineer during formalization? Which types of defects go undetected and what happens to those types in a formal specification? The results suggest looking explicitly for ambiguities during formalization, because they are less frequently detected than other types of defects. If they are detected, they require immediate clarification by the requirements author. The majority of ambiguities tend to become disambiguated unconsciously, that is, the correct interpretation was chosen, but without recurring to the requirements author. This is a serious problem, because implicit assumptions are known to be dangerous.

From One Empirical Study to 150

2021 ◽  
pp. 90-105
Author(s):  
Henrich R. Greve
Keyword(s):  
Empirical Study ◽  
Bounded Rationality ◽  
Performance Feedback ◽  
Aspiration Level ◽  
Organizational Goals ◽  
Organizational Search ◽  
Research Questions ◽  
Research Agendas ◽  
Research Stream ◽  
New Research

Performance feedback research examines how performance relative to the aspiration level on one or more organizational goals influences organizational search and change. It views the organization as solving problems presented by performance shortfalls, consistent with bounded rationality. This chapter examines the start of my research on performance feedback, the growth of this research stream, and how I and other participants in this research stream have sought to stimulate its growth and direct it toward interesting new research questions. In a series of notes on the steps this research stream has taken to advance our knowledge, I outline more general ideas on how research streams can become influential through recruitment of participants and setting of research agendas.

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