THE TECHNIQUES OF TRASNSLATION AND USES THE V DIAGRAM SYSTEM BY NEWMARK

2021 ◽  
Vol 6 (1) ◽  
pp. 81-94
Author(s):  
Muji Endah Palupi
Keyword(s):  
Social Life ◽  
Language Translation ◽  
General Term ◽  
Target Language ◽  
Translation System ◽  
Source Language ◽  
Different Types ◽  
Translation Techniques

The purpose of this research is to study about translation techniques and methods using the V-diagram system. Language is part of culture which plays an important role in social life. Language is used to express ideas orally or in writing. in grammar structure and vocabulary. Translation is an expression of a general term that refers to an idea from the source language (SL) to the target language (TL). Language translation is used to convey meanings and messages from different languages. In translation techniques, the theories studied are related to the processes and methods of language delivery. The purpose of translation is to reproduce different types of text. This research discusses translation techniques and methods. According to Peter Newmark, describes the translation techniques and methods using the V Diagram. This translation system is very simple and language conveyed is easy to understand by readers. Hopefully this research can be widely accepted so that readers will be interested in knowing more about the translation and its nuances

scholarly journals Language To Language Translation System

2020 ◽  
pp. 289-293
Author(s):  
Ms Pratheeksha ◽  
Pratheeksha Rai ◽  
Ms Vijetha
Keyword(s):  
Speech Recognition ◽  
Machine Translation ◽  
Automatic Speech Recognition ◽  
Speech Synthesis ◽  
Language Translation ◽  
Target Language ◽  
Translation System ◽  
Text To Speech ◽  
Source Language ◽  
Text To Speech Synthesis

The system used in Language to Language Translation is the phrases spoken in one language are immediately spoken in other language by the device. Language to Language Translation is a three steps software process which includes Automatic Speech Recognition, Machine Translation and Voice Synthesis. Language to Language system includes the major speech translation projects using different approaches for Speech Recognition, Translation and Text to Speech synthesis highlighting the major pros and cons for the approach being used. Language translation is a process that takes the conversational phrase in one language as an input and translated speech phrases in another language as the output. The three components of language-to-language translation are connected in a sequential order. Automatic Speech Recognition (ASR) is responsible for converting the spoken phrases of source language to the text in the same language followed by machine translation which translates the source language to next target language text and finally the speech synthesizer is responsible for text to speech conversion of target language.

scholarly journals THE TRANSLATION TECHNIQUES USED IN THE BILINGUAL DESTINATION MAP “PETA WISATA JAWA TENGAH” TRANSLATED INTO “CENRAL JAVA TOURIST MAP”

2018 ◽  
Vol 7 (2) ◽  
Author(s):  
Mayantina Arafanti ◽  
Rahmanti Asmarani
Keyword(s):  
Qualitative Method ◽  
Target Language ◽  
Source Language ◽  
Literal Translation ◽  
Central Java ◽  
Translation Technique ◽  
Translation Techniques ◽  
Descriptive Qualitative

This study aims to find the translation techniques used by the translator in translating sentences of the bilingual destination map. The researchers used descriptive qualitative method to describe the translation techniques applied in the bilingual destination map “Peta Wisata Jawa Tengah” which is translated into “Central Java Tourist Map”. This study starts by finding the problem, collecting data, classifying data, analyzing data, and drawing the conclusion. The mostly used in translation techniques is literal translation technique to make the translation work clear for the tourists domestic even international. This technique is used when the target language (TL) is applied through the sentence without observing the differences of context or meaning in the source language (SL), whereas the discursive creation and description are rarely used.

scholarly journals Difficulties in Translating Culturally Bound Conversational Words and Phrases in English and Kurdish

2020 ◽  
Vol 3 (1) ◽  
pp. 174-180
Author(s):  
Abdul-Nafi' Kh. Hasan
Keyword(s):  
Cultural Differences ◽  
Family Relationship ◽  
Research Paper ◽  
Target Language ◽  
Good Knowledge ◽  
Culturally Specific ◽  
Source Language ◽  
Cultural Concepts ◽  
Translation Techniques ◽  
Address Terms

The purpose of conducting this study is to identify and handle the problems arising from translating conversational words and phrases rooted in culture from English into Kurdish and vice versa. To achieve the objectives of the current research, source language conversational texts associated with greetings, politeness terms, kinship terms, address terms and words and phrases used on different occasions are translated into their counterparts in the target language. The results obtained from the translations show that translating cultural concepts is problematic and burdensome, and the problems identified result from cultural differences between the two languages and from literal translation which often leads to unnatural and incomprehensible expressions although this technique is used to borrow a source language expression. The results also indicate that translating culturally-bound conversational words and phrases requires good knowledge and mastery of both languages and cultures and proper use of various translation techniques. This research paper is an attempt to identify the problems that arise in translating culturally-specific conversational words and phrases from English into Kurdish and vice versa. It also aims to find out effective ways of overcoming the problem through implementing appropriate techniques for translating culturally-loaded words and phrases associated with greetings, terms of address, politeness terms, family relationship, in both languages.

A Knowledge-Based Machine Translation Using AI Technique

2018 ◽  
Vol 6 (3) ◽  
pp. 79-92
Author(s):  
Sahar A. El-Rahman ◽  
Tarek A. El-Shishtawy ◽  
Raafat A. El-Kammar
Keyword(s):  
Machine Translation ◽  
Target Language ◽  
Translation System ◽  
Module Structure ◽  
Source Language ◽  
Word Category ◽  
Knowledge Based ◽  
Language Analysis ◽  
Transfer Rules

This article presents a realistic technique for the machine aided translation system. In this technique, the system dictionary is partitioned into a multi-module structure for fast retrieval of Arabic features of English words. Each module is accessed through an interface that includes the necessary morphological rules, which directs the search toward the proper sub-dictionary. Another factor that aids fast retrieval of Arabic features of words is the prediction of the word category, and accesses its sub-dictionary to retrieve the corresponding attributes. The system consists of three main parts, which are the source language analysis, the transfer rules between source language (English) and target language (Arabic), and the generation of the target language. The proposed system is able to translate, some negative forms, demonstrations, and conjunctions, and also adjust nouns, verbs, and adjectives according their attributes. Then, it adds the symptom of Arabic words to generate a correct sentence.

scholarly journals Translation Analysis of Taxis in “The Old Man and the Sea” Novel (Systemic Functional Linguistics Approach)

2019 ◽  
Vol 9 (2) ◽  
pp. 245
Author(s):  
Arso Setyaji ◽  
Sri Samiati Tarjana ◽  
M. R. Nababan ◽  
Tri Wiratno
Keyword(s):  
Ernest Hemingway ◽  
Target Language ◽  
Systemic Functional Grammar ◽  
Source Language ◽  
Translation Quality ◽  
Translation Analysis ◽  
Translation Techniques ◽  
Logical Semantics ◽  
Clause Complex

The Old Man and the Sea is a literature work by Ernest Hemingway. It has been translated into many languages even in Indonesian by Deera Army. Hemingway used more clause complex in producing his works. It causes problems in translation such as: translators should give more attention to the translation techniques used, readability decrease, and etc. On the other hand, Deera Army solved those problems by splitting the clause complex into shorter one. It is needed to conduct a study in how to make translation of complex clause. This study can be clearly conducted by using Systemic Functional Grammar (SFG) approach. In addition, this study is aimed at: (1) describing how can be interdependency and logical semantics of complex clause in source language realized into interdependency and logical semantics of complex clause in target language of The Old Man and the Sea Novel (2) describing what translation techniques on taxis markers are used in translating from source language to target language (3) describing translation quality of clause complex translation in target language. The result of the analysis showed that there are 400 sentences which have been broken into 701 clauses. Based on the analysis, there are paratactic and hypotactic form. Paratactic took 65.30% and hypotactic, 34.50%. All of them affect translation quality. Based on the analysis, the average of accuration takes up 2.89, naturalness with 2.96 and readibility with 2.97. The writer suggests that the next researcher can conduct the same research in the deeper way.

scholarly journals A Study of Neural Machine Translation from Chinese to Urdu

2020 ◽  
Vol 2 (4) ◽  
pp. 28
Author(s):  
. Zeeshan
Keyword(s):  
Machine Translation ◽  
Chinese Language ◽  
Language Translation ◽  
Target Language ◽  
Foreign Languages ◽  
Neural Machine Translation ◽  
Source Language ◽  
Great Progress ◽  
Score Method ◽  
Translation Methods

Machine Translation (MT) is used for giving a translation from a source language to a target language. Machine translation simply translates text or speech from one language to another language, but this process is not sufficient to give the perfect translation of a text due to the requirement of identification of whole expressions and their direct counterparts. Neural Machine Translation (NMT) is one of the most standard machine translation methods, which has made great progress in the recent years especially in non-universal languages. However, local language translation software for other foreign languages is limited and needs improving. In this paper, the Chinese language is translated to the Urdu language with the help of Open Neural Machine Translation (OpenNMT) in Deep Learning. Firstly, a Chineseto Urdu language sentences datasets were established and supported with Seven million sentences. After that, these datasets were trained by using the Open Neural Machine Translation (OpenNMT) method. At the final stage, the translation was compared to the desired translation with the help of the Bleu Score Method.

scholarly journals IDENTIFYING THE TYPES OF ACCOUNTING TERMS IN ENGLISH ACCOUNTING BOOK AND THEIR EQUIVALENCES IN INDONESIAN

2018 ◽  
Vol 2 (1) ◽  
pp. 129
Author(s):  
R. Guntur Mahardika ◽  
I Nyoman Sedeng ◽  
Ni Luh Nyoman Seri Malini
Keyword(s):  
Target Language ◽  
Compound Words ◽  
Science Field ◽  
Parallel Corpora ◽  
Source Language ◽  
Translation Techniques ◽  
Language Data ◽  
Research Problems ◽  
Word Compound ◽  
Accounting Terms

Translation has important role to the development of science field, especially in accounting field which has been expanding in this globalization era. Hence, it is very interesting to analyze the translation of English accounting terms into Indonesian because it contains many accounting typical terms and specific vocabulary usually used by accountant. Furthermore, this research focuses on identifying of accounting terms in English accounting book and their equivalences in Indonesian. The data was collected by note taking and comparing techniques. Then, the data analysis is performed to search the form and category of the English accounting terms. Parallel corpora were used in presenting source language and target language data. Descriptive qualitative methods were applied to analyze all research problems. The theory of translation techniques proposed by Molina and Albir (2002) was applied in order to find translation techniques chosen by translator in translating English accounting terms and the theory of grammatical proposed by Quirk et al (1985) to find the categories of word, compound word and phrase. This research is expected to contribute to further research related to accounting vocabularies consist of a set of words, compound words and phrase which are considered available in all languages of the world.

scholarly journals Knowledge Graphs Effectiveness in Neural Machine Translation Improvement

2020 ◽  
Vol 21 (3) ◽  
Author(s):  
Benyamin Ahmadnia ◽  
Bonnie J. Dorr ◽  
Parisa Kordjamshidi
Keyword(s):  
Machine Translation ◽  
Semantic Representation ◽  
Language Translation ◽  
Semantic Relations ◽  
Training Data ◽  
Target Language ◽  
Neural Machine Translation ◽  
Source Language ◽  
Knowledge Graphs ◽  
Unknown Words

Neural Machine Translation (NMT) systems require a massive amount of Maintaining semantic relations between words during the translation process yields more accurate target-language output from Neural Machine Translation (NMT). Although difficult to achieve from training data alone, it is possible to leverage Knowledge Graphs (KGs) to retain source-language semantic relations in the corresponding target-language translation. The core idea is to use KG entity relations as embedding constraints to improve the mapping from source to target. This paper describes two embedding constraints, both of which employ Entity Linking (EL)---assigning a unique identity to entities---to associate words in training sentences with those in the KG: (1) a monolingual embedding constraint that supports an enhanced semantic representation of the source words through access to relations between entities in a KG; and (2) a bilingual embedding constraint that forces entity relations in the source-language to be carried over to the corresponding entities in the target-language translation. The method is evaluated for English-Spanish translation exploiting Freebase as a source of knowledge. Our experimental results show that exploiting KG information not only decreases the number of unknown words in the translation but also improves translation quality.

scholarly journals Collocation and connotation in chapter “Scylla and Charybdis” of James Joyce’s Ulysses. An analytical study of the Romanian translation

2020 ◽  
Vol 3 (1) ◽  
pp. 152-167
Author(s):  
Andra Iulia Ursa
Keyword(s):  
James Joyce ◽  
Analytical Study ◽  
Language Translation ◽  
Literary Text ◽  
Target Language ◽  
Writing Style ◽  
Source Language ◽  
Definition Of ◽  
Target Culture ◽  
Language Text

The present article was written as part of the PhD dissertation entitled “An analysis regarding the evolution of James Joyce’s writing style in ‘Dubliners’, ‘A Portrait of the Artist as a Young Man’ and ‘Ulysses’ and the strategies of translating it into Romanian”. The research starts from the hypothesis that a perfect rendition in a different language of a literary text of this type is nothing more than a utopia. However, a translator should always intend to achieve an equilibrium between the author’s intentions, the form, the content and the target culture. In “Ulysses”, James Joyce experiments with language, abandoning the definition of sense and revolutionises the art of expressing thoughts through words. The current work will concentrate on the thorough analysis of adjectival and adverbial collocations conceptualized in the ninth chapter of “Ulysses”. Our purpose is to investigate how Mircea Ivănescu’s Romanian translation deals with collocations and especially with those that typically represent Joyce’s authorial style. Mircea Ivănescu (1931-2011) is a Romanian poet and the sole translator who accomplished the difficult task of translating the entire novel, although there had been various attempts at translating only chapters of it. It is an approved work of translation, having received both praise and critical appreciation. After more than three decades from this chapter’s translation, our research aims for a further exposition of the similarities and distinctions between the source language text and the target language translation.       

scholarly journals AUDIOVISUAL AND SONG TRANSLATION OF INDONESIAN SUBTITLE IN SHELTER MUSIC VIDEO

2021 ◽  
Vol 5 (2) ◽  
pp. 332-339
Author(s):  
Mohamad Irham Poluwa ◽  
Nafilaturif'ah Nafilaturif'ah
Keyword(s):  
Qualitative Approach ◽  
Target Language ◽  
Music Video ◽  
Translation Theory ◽  
Reduction Theory ◽  
Source Text ◽  
Source Language ◽  
Literal Translation ◽  
Translation Techniques ◽  
Collaboration Project

The current study aimed to find out the translation techniques applied by the translator in creating the Indonesian subtitles for the original lyrics of Shelter – a collaboration project of music video by Porter Robinson and Madeon, A1-Pictures and Crunchyroll uploaded on YouTube in 2016. The data were analyzed based on the audiovisual translation theory, especially the linguistics of subtitling, the translation technical procedures in the compared stylistics, and the choice in song translation. The study also applied qualitative approach which enabled the researchers to emerge data in descriptive way (in the form of words or pictures instead of numbers). Furthermore, the data were also in the forms of an audiovisual content. The study indicated that most of the lyrics were translated based on literal translation that was reflected by the equivalence of the source language and the target language. The audiovisual theory, particularly reduction theory was also applied in creating the subtitles. In addition, the subtitles were created without taking the music into consideration, meaning that the subtitles were devoted as a supplement or no more than another piece of the source text.  

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