scholarly journals Fachkommunikation, Popularisierung, Übersetzung: Empirische Vergleiche am Beispiel der Nominalphrase im Englischen und Deutschen

2009 ◽  
Vol 39 (3) ◽  
Author(s):  
Silvia Hansen-Schirra ◽  
Sandra Hansen ◽  
Sascha Wolfer ◽  
Lars Konieczny

This article examines the contrasts and commonalities between languages for specific purposes (LSP) and their popularizations on the one hand and the frequency patterns of LSP register features in English and German on the other. For this purpose corpora of expert-expert and expert-lay communication are annotated for part-of-speech and phrase structure information. On this basis, the frequencies of pre- and post-modifications in complex noun phrases are statistically investigated and compared for English and German. Moreover, using parallel and comparable corpora it is tested whether English-German translations obey the register norms of the target language or whether the LSP frequency patterns of the source language Ñshine throughì. The results provide an empirical insight into language contact phenomena involving specialized communication.

Target ◽  
2020 ◽  
Vol 32 (3) ◽  
pp. 420-455
Author(s):  
Shuangzi Pang ◽  
Kefei Wang

Abstract This article investigates the role of translations from English in language change in Chinese. It employs a new corpus, the Chinese Diachronic Composite Corpus (CDCC), which incorporates a parallel corpus and comparable corpus in three sampling periods in the twentieth century, and a refe­rence corpus as a starting point in the timeframe. We examine whether explicitness in English–Chinese translations has exerted an impact on the target language, focusing on adversative conjunctions as a measure of explicitness. The results of the study demonstrate that: (1) translated Chinese texts have changed in step with original Chinese texts in the frequency of adversative conjunctions; (2) translated Chinese texts and original Chinese texts are interrelated throughout the three periods, but the correlation between them has changed perceptibly over the three sample points; and (3) source language interference found in translated Chinese texts increases over the three periods.


2015 ◽  
Vol 77 (19) ◽  
Author(s):  
Yen-Min Jasmina Khaw ◽  
Tien-Ping Tan

This paper presents a fast adaptation technique to build a hidden Markov model (HMM) based dialectal speech synthesis acoustic model. Standard Malay is used as a source language whereas Kelantanese Malay is chosen to be target language in this study. Kelantan dialect is a Malay dialect from the northeast of Peninsular Malaysia. One of the most important steps and time consuming in building a HMM acoustic model is the alignment of speech sound. A good alignment will produce a clear and natural synthesize speech. The importance of this study is to propose a quick approach for aligning and building a good dialectal speech synthesis acoustic model by using a different source acoustic model. There are two proposed adaptation approaches in this study to synthesize dialectal Malay sentences using different amount of target speech and a source acoustic model to build the target acoustic model of speech synthesis system. From the results, we found out that the dialectal speech synthesis system built with adaptation approaches are much better in term of speech quality compared to the one without applying adaptation approach.


Author(s):  
Andika Wijaya ◽  
Gloria Christine Setiyowati

Song lyric translation is important because in these recent decades people can access songs worldwide. The aim of this research is to gain an understanding of the difference between singable translations made by an Indonesian translator and a foreign translator by investigating what translation procedures and methods occur in two translated songs from Indonesian to English using qualitative descriptive method. The result of this research indicates that the singable translation made by a foreign translator is more identical to the source language (SL) compared to the one made by an Indonesian translator. However, despite the differences, the two translated songs share something in common, for instance the singability and the length of lyrics. Taking the findings into consideration, it could be said that the foreign translator is more faithful to the source text (ST), while the Indonesian translator emphasizes the target language (TL) more.


2017 ◽  
Vol 25 (1) ◽  
pp. 11
Author(s):  
Darso Donatus

This study aims at identifying the types of category shifts and explaining their occurrence in the translation of complex noun phrases from English into Indonesian in The Valley of Fear Novel. The data were collected using observation method which was supported by implementing note taking technique in order to find out, identify, and classify the data. The data were analyzed by applying the qualitative descriptive method. The theory applied in this study is the theory of translation proposed by Catford (1965) to identify the types of category shifts found and to explain their occurrence. The result shows that all types of category shifts proposed by Catford (1965) such as structure shift, class shift, intra-system shift, and unit shift are found in the translation. Structure shift occurs in the highest frequency of 339 cases or about 66,86% out of total 507 cases, class shift occurs 75 cases or 14,79 % out of total 507 cases, and intra-system shift occurs 48 cases or 9,46 % out of total 507 cases, and unit shift occurs 45 cases or 8,87 % out of total 507 cases. The occurrence of category shift is caused by the different characteristics of source language and target language.


Babel ◽  
2006 ◽  
Vol 52 (2) ◽  
pp. 124-132
Author(s):  
Laurence Wong

Abstract This paper discusses the relationship between syntax and translatability, particularly in respect of literary texts. By translatability is meant the degree of ease with which one language lends itself to translation into another language. Through practice in the translation between Chinese and some of the major European languages, such as English, French, Italian, German, Spanish, Latin, and Greek, as well as between the European languages themselves, it can be found that translating between the European languages is much easier than translating between Chinese and any one of the European languages. Of all the factors that determine whether a language translates more readily or less readily into another language, syntactic differences constitute one of the most decisive. This is because the translator is, during the translation process, constantly dealing with syntax in two directions: the syntax of the source language on the one hand and the syntax of the target language on the other. As a result, problems arising from the syntactic differences between the two languages are bound to figure more prominently than those arising from the differences between individual lexical items and phrases or between cultures. In this paper, syntax will be studied and analysed with reference to Chinese, English, French, German, Italian, Spanish, Latin, and Greek texts. Finally, it will be shown that, mainly because of syntactic differences, there is a higher degree of translatability between any two of the above European languages (which are members of the Indo-European family) than between Chinese (which is a member of the Sino-Tibetan family) and any one of these European languages, and that the syntax of any one of these European languages can cope comfortably with Chinese syntax, but not the other way round. Résumé Cet article traite de la relation entre la syntaxe et la traduisibilité, en particulier, en ce qui concerne les textes littéraires. On entend par traduisibilité le degré de facilité avec laquelle une langue se prête à la traduction dans une autre. Par la pratique de la traduction entre le chinois et quelques-unes des principales langues européennes, comme l’anglais, le français, l’italien, l’allemand, l’espagnol, le latin et le grec, ainsi qu’entre les langues européennes mêmes, on s’aperçoit qu’il est beaucoup plus facile de traduire entre les langues européennes qu’entre le chinois et n’importe quelle langue européenne. Parmi tous les facteurs qui déterminent si une langue se traduit plus ou moins aisément dans une autre, les différences syntactiques comptent parmi les plus décisifs. Ceci est dû au fait que le traducteur, pendant le processus de traduction, est constamment confronté à une syntaxe dans deux directions : la syntaxe de la langue source, d’une part, et la syntaxe de la langue cible, d’autre part. En conséquence, les problèmes dus à des différences syntactiques entre les deux langues doivent nécessairement apparaître de manière plus évidente que ceux provenant de différences entre les syntagmes et éléments lexicaux individuels ou entre les cultures. Dans cet article, la syntaxe sera étudiée et analysée en référence à des textes en chinois, anglais, français, allemand, italien, espagnol, latin et grec. Enfin, il montrera qu’en raison des différences syntactiques surtout, la traduisibilité est plus grande entre deux langues européennes précitées quelles qu’elles soient (qui appartiennent à la famille indo-européenne) qu’entre le chinois (qui appartient à la famille sino-tibétaine) et une quelconque de ces langues européennes. Il montrera que la syntaxe de toute langue européenne peut sans difficulté venir à bout de n’importe quelle syntaxe chinoise, mais que l’inverse n’est pas vrai.


Terminology ◽  
2001 ◽  
Vol 7 (1) ◽  
pp. 63-83 ◽  
Author(s):  
Hiroshi Nakagawa

Bilingual machine readable dictionaries are important and indispensable resources of information for cross-language information retrieval, and machine translation. Recently, these cross-language informational activities have begun to focus on specific academic or technological domains. In this paper, we describe a bilingual dictionary acquisition system which extracts translations from non-parallel but comparable corpora of a specific academic domain and disambiguates the extracted translations. The proposed method is two-fold. At the first stage, candidate terms are extracted from a Japanese and English corpus, respectively, and ranked according to their importance as terms. At the second stage, ambiguous translations are resolved by selecting the target language translation which is the nearest in rank to the source language term. Finally, we evaluate the proposed method in an experiment.


2020 ◽  
pp. 410-421
Author(s):  
Vimal Kumar K. ◽  
Divakar Yadav

Corpus based natural language processing has emerged with great success in recent years. It is not only used for languages like English, French, Spanish, and Hindi but also is widely used for languages like Tamil, Telugu etc. This paper focuses to increase the accuracy of machine translation from Hindi to Tamil by considering the word's sense as well as its part-of-speech. This system works on word by word translation from Hindi to Tamil language which makes use of additional information such as the preceding words, the current word's part of speech and the word's sense itself. For such a translation system, the frequency of words occurring in the corpus, the tagging of the input words and the probability of the preceding word of the tagged words are required. Wordnet is used to identify various synonym for the words specified in the source language. Among these words, the one which is more relevant to the word specified in source language is considered for the translation to target language. The introduction of the additional information such as part-of-speech tag, preceding word information and semantic analysis has greatly improved the accuracy of the system.


2017 ◽  
Vol 62 (2) ◽  
Author(s):  
Mohammad Hossein Haddadi

AbstractThere are many strategies and methods for translating texts of various genres. There are also strategies that are particularly useful for the translation of scientific Texts. When it comes to the translation of literary texts however there are plenty of thoughts, strategies, and methods that are proposed and which provoke a huge disagreement in this area. There is, particularly, a disagreement with regard to the translation of lyric poetry. Many critics and translation theorists agree that in the translation of lyric poetry (and generally in translation of literature texts) one should transfer, on the one hand, the style and the creative power of the author of the source language to the target language and, on the other hand, should meet the expectations of readers of the target language. They differ however over which strategy or method should be used in order to achieve this goal. When considering the translation of literature texts, and particularly the translation of lyric poetry, the spirit of the author and all existent relationships between form and contents should be transferred in the translation, since they have a close relationship with the spirit of the source language and thought of the author. The possibility of achieving this is however somewhat dubious because of the basic structural differences between the source language and the target language; and also because of those differences that may be between the content of the two mentioned languages. The following paper is based on the explanation of Rueckert’s idea of “world literature”, which is related to his thought about the transfer of the spirit of literature of the source language and the transfer of both form and contents. The paper seeks to answers this question: regarding the differences in the relationships of form and contents between the source language, Persian, and the German language, how can the spirit and content of Hafiz' lyrics be best transferred to the target language. It examines the structural and content differences between the Persian and German Languages and it illustrates the strategies and methods Rueckert uses to transfer the spirit and content of the poems of Hafiz to the German language.


2018 ◽  
Vol 14 (1) ◽  
pp. 17-27
Author(s):  
Vimal Kumar K. ◽  
Divakar Yadav

Corpus based natural language processing has emerged with great success in recent years. It is not only used for languages like English, French, Spanish, and Hindi but also is widely used for languages like Tamil, Telugu etc. This paper focuses to increase the accuracy of machine translation from Hindi to Tamil by considering the word's sense as well as its part-of-speech. This system works on word by word translation from Hindi to Tamil language which makes use of additional information such as the preceding words, the current word's part of speech and the word's sense itself. For such a translation system, the frequency of words occurring in the corpus, the tagging of the input words and the probability of the preceding word of the tagged words are required. Wordnet is used to identify various synonym for the words specified in the source language. Among these words, the one which is more relevant to the word specified in source language is considered for the translation to target language. The introduction of the additional information such as part-of-speech tag, preceding word information and semantic analysis has greatly improved the accuracy of the system.


2016 ◽  
Vol 55 ◽  
pp. 209-248 ◽  
Author(s):  
Jörg Tiedemann ◽  
Zeljko Agić

How do we parse the languages for which no treebanks are available? This contribution addresses the cross-lingual viewpoint on statistical dependency parsing, in which we attempt to make use of resource-rich source language treebanks to build and adapt models for the under-resourced target languages. We outline the benefits, and indicate the drawbacks of the current major approaches. We emphasize synthetic treebanking: the automatic creation of target language treebanks by means of annotation projection and machine translation. We present competitive results in cross-lingual dependency parsing using a combination of various techniques that contribute to the overall success of the method. We further include a detailed discussion about the impact of part-of-speech label accuracy on parsing results that provide guidance in practical applications of cross-lingual methods for truly under-resourced languages.


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