NATIONAL ECONOMICS UNIVERSITY FACULTY OF FOREIGN LANGUAGES DEPARTMENT OF BUSINESS ENGLISH NGUYEN THU TRANG PERCEPTION OF UTILIZING TFLAT DICTIONARY APPLICATION IN TRANSLATION AMONG BUSINESS ENGLISH STUDENTS, INTAKE 61 NATIONAL ECONOMICS UNIVERSITY FACULTY OF FOREIGN LANGUAGES DEPARTMENT OF BUSINESS ENGLISH NGUYEN THU TRANG PERCEPTION OF UTILIZING TFLAT DICTIONARY APPLICATION IN TRANSLATION AMONG BUSINESS ENGLISH STUDENTS, INTAKE 61 Hanoi, 11/2022 ACKNOWLEDGEMENT The success of this research required the help of various individuals, without them, I would not have met the objectives of this study. I want to express my gratitude to the following people for their significant help and support. First and foremost, I would like to express my deep and sincere gratitude to the advisor, M. Le Thu Huong, National Economics University, for providing invaluable guidance throughout this research.
Her patience, dynamism, and sincerity have deeply inspired and motivated me throughout the work. It was a privilege and honor to work and study under her guidance. My special thanks are for 79 BE students from the intake 61 in the NEU for their cooperation in answering the questionnaire. Their honest and informative answers are crucial to help me continue this study.
Last but not least, I am grateful to my parents for their love, care, and sacrifice for always staying by my side and having my back in any circumstances. I also would like to thank my friends for their understanding and continuing support so that I can accomplish this research work. I have tried to gather all relevant documents regarding this subject. There may be shortcomings, factual errors, and mistaken opinions, which I am responsible for, but I will try to give a better volume in the future.
ABSTRACT The TFlat dictionary application is employed frequently by senior students in the Faculty of Foreign Language at National Economics University, as shown in this study. Students majoring in Business English use this tool to improve their efficiency and productivity in translation tasks. The research is based on data supplied by a survey of 79 students intake of 61 from the faculty. The present study is an attempt to discover BE senior students’ perspective and habits of exploiting TFlat dictionary app in translation.
Firstly, the findings show that the participants held positive attitudes toward the use of this tool. Therefore, students make use of the app frequently, though the figures for each feature vary according to users’ purpose. Secondly, the research uncovers the advantages and drawbacks of TFlat in supporting the translation process. Considering the features the app provides, this tool is often used during the first stage of the translation process for most professional and administrative materials.
Not many students utilize the text translation feature to translate documents compared to the use of the dictionary function. Though a majority of participants agree that students should make use of TFlat to broaden their vocabulary range, the usage percentage for features relating to vocabulary is not significant. Finally, the study points out that most BE students find TFlat dictionary application helpful and recommend others to use it. In terms of translation, using this tool will save much time for students and make the work easier.
Aside from significant help in the translation process, the app serves as a pocket diary of vocabulary that can be opened anytime and anywhere. Therefore, it is proposed teachers should recommend the app to their students so that they can accomplish their translation tasks satisfactorily. Moreover, it is imperative that teachers guide students to employ the app in an effective and proactive way to avoid overreliance. Further research might investigate the popularity of TFlat dictionaries in translation compared to other tools or the effectiveness of TFlat use in translation among students from other majors.
LIST OF ABBREVIATION AI: Artificial Intelligence Apps : Applications BE: Business English HMT : Hybrid Machine Translation IELTS: International English Language Testing System MLD : Monolingual Learner's Dictionary MT : Machine Translation NEU : National Economics University NM__ : Neural Machine Translation RBMT: Rule-Based Machine Translation SMT_: Statistical Machine Translation SL : Source Language TOEFL: Test of English as a Foreign Language TOEIC: Test of English for International Communication TL : Target Language TABLE OF FIGURES Figure 1: Percentage of BE students who know about TFlat App. 17 Figure 2: Channels from which BE students know about TRFlat. 18 Figure 3: Students’ opinion on effectiveness of each TFlat feature. 19 Figure 4: Students’ frequency of using TFlat application in translating practice 20 Figure 5: Frequency of using the text translation for different types of translation Figure 6: Translation steps in which students use the text translation in TFlat .22 Figure 7: Frequency of using TFlat to improve translation skills and performance ¬—.
23 Figure 8: TFlat’s advantages over other translation apps/ programs. 24 Figure 9: Common problems students face when using TFlat to translate. 26 Figure 10: Helpful tips to improve BE’s translation by using TFlat application .27 Figure 11: BE students’ overall perspective of TFlat app.ceesccessceesteeeeees 29 TABLE OF CONTENT ABSTTRACTT,.- 0G 9 HH nọ TH nh 1 LIST OF ABBREVIATTION.- - -- LH 1S TT il TABLE OF FIGURES.-- - G1 ST tt 11 CHAPTER 1: INTRODUCTION.-- 2Á SH * SH ng Hưy 1 1. --- - ng HH no kh 2 I9).--- -- - - - 1 01H n HS TS ng ng ng vn kh 3 1.
TH TH HHkh 3 IS). 3 CHAPTER 2: LITERATURE REVIEẨW. Translation definition nngtttẢẢẢ. Translation DFOC€SS.
Types Of trdHSÏAfÏOH. Q HHH HT KT TH tk ng như 7 2. Professional †rA'LSÏ4fÏOlH. «cà vn tk re 7 2.
Administrative fFAHSÌQHÏOPH. vn vn ve, 8 2.- - - -- HH HT HH HH, 8 2. Overview of machine translation (MT). Definition of machine translation.
-- - c 11v vn ve rry 8 2. Problems with ÌMÍTT. - -- -c c cv ve rry 9 VÝJyÀ)221J8. Statistical Machine Translation (SMTT)).
Rule-Based Machine Translation (Ñ. Hybrid Machine Translation (HMT) .ccsssss*ss+++++*sss 11 2. Neural Machine Translation (ÌNÌMTT)). Definition of online đỉCÍÍOH(IFW.
ST xe ren 12 2. Types Of đỈCÍÍOHŒTHGS. Gv HH KH 12 2. Overview of TFlat dictionary application.
FINDINGS AND DISCUSSION. BE students’ attitudes towards using TFlat in translation practice. Frequency of using TF lat in translation practice of BE students intake 72002755. Possible methods to improve translation performance by using TFlat ¬—.
HH HH nh HH Hy 30 4. Suggestions for further research.- - --- cc s3 tveeirreeserree 31 REFERENCES APPENDIX Nguyễn Thu Trang- 11195373- Business English 61B CHAPTER 1: INTRODUCTION 1. Background In the era of global integration, a good command of a foreign language apart from the native language is a huge advantage. There is a great deal of scientific evidence showing that learning a new language has a positive impact on learners’ brains, which improves their ability in various aspects.
Understanding another language means that learners could make judicious use of varied materials written or spoken in that language, thereby being more well- rounded and knowledgeable. In addition, bilinguals have more opportunities when they enter the job market, as they can communicate with many people thanks to their language skills. Among myriad languages in the world, English has managed to become the global language or lingua franca. There are about 350 million native English speakers, while over 430 million speak English as a second language.
Most students around the world learn English at school as a compulsory subject, and more and more countries consider adopting English as their official language. The essential function of this lingua franca can be observed most clearly in the business environment. Because no country could stay outside the global trading network, English has become a crucial factor to connect and interact with business partners from other countries. As a result, more and more people invest their time and money to improve their English with the hope of a brighter future.
When mentioning fields relating to languages, translation is one of the most common tasks. This is a job requiring a set of advanced skills. A translator needs to have a comprehensive understanding of various aspects, along with the ability to master both English and their native language. However, in this day and age, translating has become significantly easier thanks to the advent of modern technology.
Translators could take advantage of translating tools such as CAT, machine translation, and online dictionaries to improve their performance. In addition, they have more chances to immerse themselves in a foreign language in this global era, so their learning process would probably be less challenging. Nguyễn Thu Trang- 11195373- Business English 61B 1. Rationale There are different choices for an amateur translator when it comes to machine translation.
An undergraduate majoring in translation can easily access websites such as Google translate and Microsoft translate to finish their assignment. Along with websites, many applications are created to be more convenient for translators. There are various features on the applications such as uploading photos, taking pictures, or using the microphone to input the source texts. After a simple click and a few seconds, the translated version will appear on the screen.
Though these translated texts are not perfect, the translator could save much time by editing them instead of doing every step of translation in the beginning. With the purpose of helping English students take advantage of technology in translating practice, this research analyses how students currently utilize translation applications to develop their skills and make their work better. The study focuses on the Tflat dictionary application, a familiar app for Vietnamese students, including those not majoring in the English language. This app is known as an English-Vietnamese-English dictionary, so not many people notice its translating function.
As both dictionary and machine translation are essential to translators’ jobs, the author believes this app would help students a lot in their assignments. Furthermore, the app includes a feature allowing users to learn and revise vocabulary, which is helpful for translators’ learning process. The research will be conducted with the participation of the students of intake 61 of the Faculty of Foreign Language at the National Economics University, Hanoi, Vietnam. Specifically, the study will find out and analyze “Perception of utilizing TFlat application in translation among Business English students, NEU, intake 61”.
Objectives The research aims: e To investigate BE students’ perception of the TFlat application. e To evaluate the TFlat application in supporting the translation process based on actual students’ utility. Nguyễn Thu Trang- 11195373- Business English 61B e To propose possible methods to help BE students improve their translation performance by utilizing the TFlat app. Research questions In order to achieve the research aims and objectives, the study is to find out the answers to the following research questions: e@ What are the BE K61 students’ attitudes towards TFlat application? e How the BE KóI students apply Tflat for translating? e What are possible ways of utilize TFlat to improve translation skills and performance according to BE K61 students? 1.
Research scope The main research subjects of this study are BE students, intake 61, at NEU. Time scope: from September to November 2022. Methodology To answer the three research questions, the study is conducted by combining both qualitative and quantitative methods. In detail, survey questionnaires are conducted to collect data from respondents, showing their perspectives and attitudes about TFlat utility in translation practice.
Based on the collected datas, comparisons and analysis are carried out to delve deeper into the situation of using the app for translation among BE students intake 61. Nguyễn Thu Trang- 11195373- Business English 61B CHAPTER 2: LITERATURE REVIEW 2. Translation definition There has been a myriad of translation definitions that are elucidated by linguists around the world. The eminent American linguist Eugene Albert Nida also admitted the diversity of translation understanding.
This variety is understandable because the definitions mostly depend on the translated materials, the purpose of the publication, and the prospective audience’s needs. However, a general definition separate from the mere transference of meaning is postulated by E.