• Cross-Cultural Studies
• /
• v.19
• /
• pp.251-270
• /
• 2010

The subject of the paper is to discern the validity of the translation theory put forward by the ESIT(Ecole Sup?rieur d'Interpr?tes et de Tranducteurs, Universit? Paris III) and how it differentiates from the other translation theories. First, the paper will analyze the theoretical aspects put forward by examining the equivalence that may be discerned between the french and korean translation in relation to the original english text that is being translated. Employing the equivalence in translation may shed new insights into the unterminable discussions we witness today between the literal translation and the free translation. Contrary to the formal equivalence the dynamic equivalence by Nida suggests that the messages retain the same meanings whether it be the original or a translated text to the/for the reader. In short, the object of the dynamic equivalence is to identify the closest equivalence to the suggested source language. The concept of correspondence and equivalence defined by theoriticians of translation falls to the domain of dynamic equivalence suggested by Nida. In translation theory the domain of usage of language and the that of discourse is denoted separately. by usage one denotes the translation through symbols that make up language itself. In contrast to this, the discourse is suggestive of defining the newly created expressions which may be denoted as being a creative equivalence which embodies the original message for the singular situation at hand. The translator will however find oneself incorporating the two opposing theories in translating. Translation falls under the criteria of text and not of language, thus one cannot regulate or foresee any special circumstances that may arise in translation of discourse, the translation to reflect this condition should always be delimited. All other translation should be subject to translation by equivalence. The interpretation theory in translation (of ESIT) in effect is relative to both the empirical and philosophical approach and is suggestive of new perspective in translation. In conclusion, the above suggested translation theory is different from the skopos theory and the polysystem theory in that it only takes in to account the elements that are in close relation to the original text, and also that it was developed for educational purposes opening new perspectives in the domain of translation theories.

• Annual Conference on Human and Language Technology
• /
• 1997.10a
• /
• pp.277-282
• /
• 1997

최근 들어 웹 상의 문서를 번역해 주는 번역 시스템이 상용화되고 있다. 일반 문서와 달리 웹 문서는 HTML 태그를 포함하고 있어 번역 시스템에서 문장 단위로 분리하는데 어려움이 있다. 또한 그 대상 영역이 제한되지 않으므로 미등록어 및 구문 분석 실패에 대한 대처 기능이 필요하다. 따라서 웹 문서의 번역 품질이 일반 문서 번역에 비해 현저히 떨어지게 된다. 이 논문에서는 HTML 태그를 보유한 영어 웹 문서를 대상으로 하는 번역 시스템인 "에서로-웹/EK"에 대해 기술한다. 에서로-웹/EK는 HTML 문서의 특성을 고려하여 태그를 분리, 복원하는 태그 관리자를 별도로 가진다. 또한 태그를 유지하면서 영어에서 한국어로 변환되는 과정에서 발생하는 어휘 분리, 어휘 통합, 어순 변환 둥의 다양한 변환 현상을 처리한다. 이 시스템은 변환 방식에 기반한 번역 시스템으로서 영어 해석, 영한 변환, 한국어 생성의 단계를 거친다. 구현된 시스템은 Netscape와 DDE(Dynamic Data Exchange) 방식으로 연동하여 HTML 문서를 번역한다.

• Journal of English Language & Literature
• /
• v.57 no.2
• /
• pp.217-235
• /
• 2011

On recognizing the significance of Walter Benjamin's "The Task of a Translator" in recent discourses of postcolonial cultural translation, this essay examines the creative postcolonialist appropriations of Benjamin's theory of translation and their political implications. In an effort to dismantle the imperialist political hierarchy between the West and the non-West, modernity and its "primitive" others, which has been the operative premise of the traditional translation studies and anthropology, newly emergent discourses of cultural translation actively adopts Benjamin's notion of translation that does not prioritize the original text's claim on authenticity. Benjamin theorizes each text-translation as well as the original-as an incomplete representation of the pure language. Eschewing formalistic views propounded by deconstructionist critics like Paul de Man, who tend to regard Benjamin's notion of the untranslatable purely in terms of the failure inherent in the language system per se, such postcolonialist critics as Tejaswini Niranjana, Rey Chow, and Homi Bhabha, each in his/her unique way, recuperate the significatory potential of historicity embedded in Benjamin's text. Their further appropriation of the concept of the "untranslatable" depends on a radically political turn that, instead of focusing on the failure of translation, salvages historical as well as cultural potentiality that lies between disparate cultural entities, signifying differences, or disjunctures, that do not easily render themselves to existing systems of representation. It may therefore be concluded that postcolonial discourses on cultural translation of Niranhana, Chow, and Bhabha, inspired by Benjamin, each translate the latter's theory into highly politicized understandings of translation, and this leads to an extensive rethinking of the act of translation itself to include all forms of cultural exchange and communicative activities between cultures. The disjunctures between these discourses and Benjamin's text, in that sense, enable them to form a sort of theoretical constellation, which aspires to an impossible yet necessary utopian ideal of critical thinking.

• ETRI Journal
• /
• v.43 no.5
• /
• pp.775-786
• /
• 2021

To translate in real time, a simultaneous translation system should determine when to stop reading source tokens and generate target tokens corresponding to a partial source sentence read up to that point. However, conventional attention-based neural machine translation (NMT) models cannot produce translations with adequate latency in online scenarios because they wait until a source sentence is completed to compute alignment between the source and target tokens. To address this issue, we propose a reinforced learning (RL)-based attention mechanism, the reinforced attention mechanism, which allows a neural translation model to jointly train the stopping criterion and a partial translation model. The proposed attention mechanism comprises two modules, one to ensure translation quality and the other to address latency. Different from previous RL-based simultaneous translation systems, which learn the stopping criterion from a fixed NMT model, the modules can be trained jointly with a novel reward function. In our experiments, the proposed model has better translation quality and comparable latency compared to previous models.

• Journal of Korea Multimedia Society
• /
• v.25 no.10
• /
• pp.1535-1545
• /
• 2022

Sign language has completely different meaning depending on the direction of the hand or the change of facial expression even with the same gesture. In this respect, it is crucial to capture the spatial-temporal structure information of each movement. However, sign language translation studies based on Sign2Gloss2Text only convey comprehensive spatial-temporal information about the entire sign language movement. Consequently, detailed information (facial expression, gestures, and etc.) of each movement that is important for sign language translation is not emphasized. Accordingly, in this paper, we propose Spatial-temporal Keypoints Centered Sign2Gloss2Text Translation, named STKC-Sign2 Gloss2Text, to supplement the sequential and semantic information of keypoints which are the core of recognizing and translating sign language. STKC-Sign2Gloss2Text consists of two steps, Spatial Keypoints Embedding, which extracts 121 major keypoints from each image, and Temporal Keypoints Embedding, which emphasizes sequential information using Bi-GRU for extracted keypoints of sign language. The proposed model outperformed all Bilingual Evaluation Understudy(BLEU) scores in Development(DEV) and Testing(TEST) than Sign2Gloss2Text as the baseline, and in particular, it proved the effectiveness of the proposed methodology by achieving 23.19, an improvement of 1.87 based on TEST BLEU-4.

• Language and Information
• /
• v.2 no.2
• /
• pp.185-220
• /
• 1998

The purpose of this research is to propose a set of basic guidelines for the construction of English test suites, a set of basic guidelines for the construction of Korean test suites to objectively evaluate the performance of machine translation systems. For this end, we constructed 650 English test sentences, 650 Korean test sentences, and developed the statistical methods and tools for the comparative evaluation of the English-Korean machine translation systems. It also evaluates the existing commercial English-Korean machine translation systems. The importance of this research lies in that it will promote an awareness of the importance and need of testing machine translation systems within the Natural Language Community. This research will also make a big contribution to the development of evaluation methods and techniques for appropriate test suites for Korean information processing systems. The results of this research can be used by the natural language community to test the performance and development of their information processing systems or machine translation systems.

• Language and Information
• /
• v.2 no.1
• /
• pp.1-41
• /
• 1998

Evaluation of multilingual translation fundamentally involves measurement of meaning equivalences between the formally mapped discourses/texts of SL(source language) and TL(target language) both represented by a metalanguage called IL(interlingua). Unlike a usaal uni-directional MT(machine translation) model(e.g.:SL $\rightarrow$ analysis $\rightarrow$ transfer $\rightarrow$ generation $\rightarrow$ TL), a bi-directional(by 'negotiation') model(i.e.: SL $\rightarrow$ IL/S $\leftrightarrow$ IL $\leftrightarrow$ IL/T \leftarrow TL) is proposed here for the purpose of evaluating multilingual, not merely bilingual, translation. The IL, as conceived of in this study, is an English-based predicate logic represented in the framework of MRS(minimal recursion semantics), an MT-oriented off-shoot of HPSG(Head-driven Phrase Structure Grammar). In addition, a list of semantic and pragmatic checkpoints are set up, some being optional depending on the kind and use of the translation, so sa to have the evaluation of translation fine-grained by computing matching or mismatching of such checkpoints.

• Smart Media Journal
• /
• v.12 no.1
• /
• pp.32-46
• /
• 2023

Natural Language Processing (NLP) has grown tremendously in recent years. Typically, bilingual, and multilingual translation models have been deployed widely in machine translation and gained vast attention from the research community. On the contrary, few studies have focused on translating between spoken and sign languages, especially non-English languages. Prior works on Sign Language Translation (SLT) have shown that a mid-level sign gloss representation enhances translation performance. Therefore, this study presents a new large-scale Korean sign language dataset, the Museum-Commentary Korean Sign Gloss (MCKSG) dataset, including 3828 pairs of Korean sentences and their corresponding sign glosses used in Museum-Commentary contexts. In addition, we propose a translation framework based on self-supervised learning, where the pretext task is a text-to-text from a Korean sentence to its back-translation versions, then the pre-trained network will be fine-tuned on the MCKSG dataset. Using self-supervised learning help to overcome the drawback of a shortage of sign language data. Through experimental results, our proposed model outperforms a baseline BERT model by 6.22%.

• Proceedings of the Korean Society for Language and Information Conference
• /
• 2007.11a
• /
• pp.87-94
• /
• 2007

This paper introduces BEYTrans (Better Environment for Your TRANSlation), the first experimental environment for free online collaborative computer-aided translation. The requirements and functionalities related to individual translators and communities of translators are distinguished and described. These functionalities have been integrated in a Wiki-based complete environment, equipped with all currently possible asynchronous linguistic resources and translation aids. Functions provided by BEYTrans are also compared with existing CAT systems and ongoing experiments are discussed.

• Proceedings of the Korean Society for Language and Information Conference
• /
• 2007.11a
• /
• pp.489-497
• /
• 2007

Named entity translation plays an important role in many applications, such as information retrieval and machine translation. In this paper, we focus on translating person names, the most common type of name entity in Korean-Chinese cross language information retrieval (KCIR). Unlike other languages, Chinese uses characters (ideographs), which makes person name translation difficult because one syllable may map to several Chinese characters. We propose an effective hybrid person name translation method to improve the performance of KCIR. First, we use Wikipedia as a translation tool based on the inter-language links between the Korean edition and the Chinese or English editions. Second, we adopt the Naver people search engine to find the query name's Chinese or English translation. Third, we extract Korean-English transliteration pairs from Google snippets, and then search for the English-Chinese transliteration in the database of Taiwan's Central News Agency or in Google. The performance of KCIR using our method is over five times better than that of a dictionary-based system. The mean average precision is 0.3490 and the average recall is 0.7534. The method can deal with Chinese, Japanese, Korean, as well as non-CJK person name translation from Korean to Chinese. Hence, it substantially improves the performance of KCIR.