Translation Corpus Research Articles

Corpus translation system based on Web Services and its application

In order to construct an efficient translation system, this paper constructs a corpus translation system based on Web Services. Moreover, this paper builds a network term detection system based on machine learning algorithms, expands the corpus data with the support of the crawler system, and uses WEB retrieval translation technology. At the same time, in response to the problem of sentence length changes in English abstracts, this paper proposes a method to obtain standard sentence length changes based on edit distance and SVM sorting. Based on requirements, this paper designs the architecture and data integration process of the data integration system. In addition, this paper outlines the detailed design and implementation process of each module of the system, and proposes a system performance optimization plan, and combines translation requirements to construct a corpus translation system based on Web Services. Finally, this paper designs experiments to verify the performance of the model. The research results show that the system constructed in this paper has a good application effect.

RETRACTED ARTICLE: Machine learning-based prediction of urban soil environment and corpus translation teaching

RETRACTED ARTICLE: Machine learning-based prediction of urban soil environment and corpus translation teaching

Research on Business English Translation Framework Based on Speech Recognition and Wireless Communication

In order to improve the accuracy of English translation, reduce the error rate of translation results, and increase the correction rate of translation, this paper proposes a business English translation architecture design based on speech recognition and wireless communication. The architecture is partitioned according to the functions of the overall system design, and the voice acquisition module, voice processing module, and peripheral circuit module are designed according to functional requirements. Among them, speech recognition helps users to perform language translation to reduce the possibility of errors in the translation process. At the same time, it uses wireless communication technology to construct a business English translation corpus to meet the personal needs of users. The paper also uses an improved translation model for translation error correction and intelligent proofreading, which improves the reliability of translation results. Experimental results show that the system has a high error correction rate and error correction rate, and the translation results have a certain degree of reliability, which fully verifies the effectiveness and application value of the system.

Rabbis of the (Scientific) Revolution: Revealing the Hidden Corpus of Early Modern Translations Produced by Jewish Religious Thinkers

Abstract This essay discusses the corpus of translations of non-Jewish texts into Jewish languages, which emerged during the early modern period. Particular attention is given to Hebrew translations produced by members of the Jewish religious elite during the long eighteenth century, which have hitherto been viewed as original Jewish works. The article argues that translation was perfectly suited to the combination of attraction and anxiety with which many early modern Jews, particularly members of the Jewish religious elite, observed the cultural developments of their time. These authors acknowledged (what they viewed as) their own cultural inferiority, but feared the potential hazards of direct exposure to non-Jewish texts and ideas. Jewish translators thus became cultural gatekeepers rather than passive recipients of non-Jewish culture. They mistranslated both deliberately and accidentally, added and omitted, gave new meanings to texts and ideas, and harnessed their sources to meet their own agendas. The works of these translators reveal a form of cultural transfer that relied on the mindful adaptation and reformulation of new ideas by discreet, almost inadvertent innovators.

Comparative analysis of the epistemological language in translation

The article presents a comparative analysis of the translation of basic epistemological terms and attempts to analyse cognitive factors underlying the construction of meaning in the translation process. Apart from linguistic expertise, the translation of philosophical texts re­quires a profound understading of the subject matter. Ambiguity of philosophical terms, which appears as a result of the development of a particular concept within a specific philo­sophical school of thought, may lead to inconsistencies in the translation decision-making. The paper aims to apply a cognitive approach to the translation of epistemological terms into the German and English language: Erkenntnis/cognition vs knowledge. In this study, context is interpreted as a verbalization of a specific conceptual frame facilitating the identification of the appropriate meaning of the term on a deeper, conceptual level. The article contains nu­merous examples from the works of Immanuel Kant translated into English as well as the data from multilingual translation corpora which are used to describe translation-relevant aspects of conceptual integration in philosophical discourse.

SDL Trados and Tmxmall: A Comparative Study of Computer-Aided Translation Tools

<p>Technological development has brought about a series of changes, including influences on the traditional translation industry which is unable to meet the future needs due to its low efficiency and limited forms. Computer-aided translation software, shortened as CAT software, is therefore developed. Featuring powerful memory and fast computing speed of computers, CAT software allows translators to give full scope to creativity, which enhances traditional translation efficiency. In recent years, both CAT software and cloud translation software have been rapidly developed. The latter is built based on cloud computing technology, and is emerging one after another. This article, taking such CAT software as SDL Trados and such cloud translation platform as Tmxmall as examples, studies similarities and differences between the two different kinds of tools in terms of operation interface, translation project management and corpus management. By analyzing features of the two tools, this article seeks to provide references for translators and software engineers.</p>

Do-it-Yourself Corpora: what are they and who are they for?

The use of corpora in translation, teaching, and academic writing has been increasing significantly over the last years. Do-it-yourself (DIY) corpora are particularly useful to those areas. This paper presents a theoretical review and discusses the use of DIY corpora in translation, in language teaching, and in academic writing. Evidence shows that, with the aid of computational tools, DIY corpora provide translators with better options for translating texts and extracting terminology. At the same time, it can be a resourceful tool for teachers planning their language for general or specific purposes classes, or for researchers who aim to observe the structure and language patterns of their own areas of research. The studies described show that DIY corpora are resourceful tools that can be used in different but correlated contexts.

Creating credible and natural-sounding dialogs in dubbing: can it be taught?

ABSTRACT This paper sets out to bridge the gap between theory and practice by suggesting activities and resources that could be used in the audiovisual translation (AVT) classroom when training students to achieve credible and natural-sounding dialogue in dubbing. Following a competence- and task-based approach, these activities have been implemented by the author when teaching English into Spanish dubbing at master’s level and explore the advantages of using translation technology (e.g. translation memory and corpus management tools) in the AVT classroom. When suggesting activities, the emphasis is also placed on what can be learnt from other disciplines, such as creative writing, and on the links that can be established with other subjects (e.g. translation technology) in order to improve future audiovisual translators’ instrumental competences and understanding of the specific features of original and dubbed audiovisual dialogue.

Os operadores discursivos ahora bien / ahora, (que) e as suas correspondências em traduções literárias para português

Following previous work by the authors (Ponce de León & Duarte 2013; Duarte & Ponce de León 2015; Duarte & Ponce de León 2017; Duarte & Ponce de León 2018; Ponce de León & Duarte 2020), the paper aims to analyse the discourse values of the Spanish forms ahora (que) / ahora bien - studied in detail by specialists (Martín Zorraquino & Portolés 1999; Santos Río 2003; Fuentes 2009; Loureda & Acín 2010) - and their correspondences with Portuguese discourse markers, by analysing Portuguese translations of Spanish literary texts. The paper is divided in three parts: a) In the first part, following our previous work (Ponce de León & Duarte 2020) and other studies - some of them cited above - that analyse discourse markers, the different discourse values assumed by these forms are briefly presented and analysed, from a synchronic and diachronic perspective, based on grammatical and lexicographical resources, as well as on Spanish corpora. b) In the second part, the correspondences of the analysed values of ahora (que) / ahorabien with Portuguese expressions, ora and agora are determined. Studies on these Portuguese markers (Duarte 1989; Gonçalves 2004; Marques & Rei 2020) are used to establish these correspondences. c) In the third part, the correspondences of ahora (que) / ahora bien in a corpus of translations into Portuguese of Spanish-language literary texts are studied, trying to clarify the acceptability of different translation solutions for each value of the forms ahora (que) / ahora bien.

УКРАЇНСЬКІ ПЕРЕКЛАДИ ДАВНЬОГРЕЦЬКОЇ ЛІТЕРАТУРИ:ЗДОБУТКИ ТА ПЕРСПЕКТИВИ

The article presents the history of Ukrainian translations of ancient Greek literature and describes the translation work of Ukrainian classical philologists, poets and prose writers. The reception of literary works of antiquity is represented by texts of different styles, poetic schools and Ukrainian language of different periods, which demonstrate the glorious tradition of domestic translation studies. It is noted that Ukrainian translations have a long history (from the first translation in 1788 and the first textbook in 1809); they were published in separate periodicals, collections, almanacs, as well as complete books and in textbooks and anthologies. Ukrainian translations of literature in the ancient Greek language of the аrchaic, сlassical and Hellenistic periods are analyzed. Translations of poetry (epic, elegy, iambic, monodic and choral lyrics, tragedy, comedy, folk lyrics, mimiyamb, epilium, bucolic, idyll, epigram) and prose (fable, historiography, philosophy, rhetoric, fiction, ancient novel, New Testament and Septuagint, early Christian patristic) are described. Significant in the history of translations are the achievements of the brilliant connoisseur of antiquity I. Franko. The high level of linguistic and stylistic assimilation of ancient Greek prose and poetic texts is demonstrated by the creative style of such outstanding translators as Borys Ten, V.Svidzinsky, M. Bilyk, G. Kochur, A. Smotrych, V. Derzhavуn, V. Samonenko, P. Striltsiv, A. Tsisyk, Y.Mushak, A. Biletsky, V. Maslyuk, J. Kobiv, Y. Tsymbalyuk, L. Pavlenko.The glorious traditions are continued by well-known antiquaries, writers and poets, among whom A. Sodomora has a prominent place. At the level of world biblical studies there are four translations of the Holy Scripture in Ukrainian (P. Kulish, I. Pulyuy, I. Nechuy-Levytsky, I. Ogienko, I. Khomenko, R. Turkonyuk). Іt is summarized that despite numerous Ukrainian translations of various genres of ancient Greek literature there is a need to create a corpus of translations of ancient Greek historiography, rhetoric, philosophy, natural science texts, Greek patristic.

Re-Transformer: A Self-Attention Based Model for Machine Translation

Machine translation is one of the most popular and hardest tasks in Natural Language Processing. This paper proposes a self-attention based model for machine translation, named Re-Transformer, by transforming the Transformer [1]. Different from prevailing approach through module or GPU stacking to improve the system performance, Re-Transformer modifies the basic architecture; there are four refinements as follows. First, Re-Transformer adopts sub-word Tokenization in corpus preprocessing to overcome rare words. In the encoder layer, dual Self-Attention stacks and less Point Wise Feed Forward layer are adopted to obtain better comprehension of an input sentence. In decoder, reduced the stack of “Decoder” are used to speedup training and inferring speed meanwhile keeps the same level of BLEU. The experiment results show that Re-Transformer with BLEU metric score 31.36, 38.45 (four-layer decoder) and 32.14, 55.62 (two-layer decoder) improves around 4 and 17 points of BLEU metric against the Transformer over the WMT 2014 English-German and English-French Translation Corpus.

A Crowdsourcing-Based Framework for the Development and Validation of Machine Readable Parallel Corpus for Sign Languages

Sign languages are used by the deaf and mute community of the world. These are gesture based languages where the subjects use hands and facial expressions to perform different gestures. There are hundreds of different sign languages in the world. Furthermore, like natural languages, there exist different dialects for many sign languages. In order to facilitate the deaf community several different repositories of video gestures are available for many sign languages of the world. These video based repositories do not support the development of an automated language translation systems. This research aims to investigate the idea of engaging the deaf community for the development and validation of a parallel corpus for a sign language and its dialects. As a principal contribution, this research presents a framework for building a parallel corpus for sign languages by harnessing the powers of crowdsourcing with editorial manager, thus it engages a diversified set of stakeholders for building and validating a repository in a quality controlled manner. It further presents processes to develop a word-level parallel corpus for different dialects of a sign language; and a process to develop sentence-level translation corpus comprising of source and translated sentences. The proposed framework has been successfully implemented and involved different stakeholders to build corpus. As a result, a word-level parallel corpus comprising of the gestures of almost 700 words of Pakistan Sign Language (PSL) has been developed. While, a sentence-level translation corpus comprising of more than 8000 sentences for different tenses has also been developed for PSL. This sentence-level corpus can be used in developing and evaluating machine translation models for natural to sign language translation and vice-versa. While the machine-readable word level parallel corpus will help in generating avatar based videos for the translated sentences in different dialects of a sign language.

Discussion on Data Features and Construction Models of Translation Corpus in the Era of Big Data

With the rapid development of artificial intelligence in the current era of big data, the construction of translation corpus has become a key factor in effectively achieving a highly intelligent translation. In the era of big data, the data sources and data types of translation corpus are becoming more and more diversified, which will inevitably bring about a new revolution in the construction of translation corpus. The construction of the translation corpus in the era of big data can fully rely on third-party open source data, crowd-sourcing translation, machine closed-loop, human-machine collaboration and other multiple modes to comprehensively improve the quality of translation corpus construction to better serve translation practice.

English and Russian Genitive Alternations: A Study in Construction Typology

There is little doubt that one of the most important areas of future research within the framework of Construction Grammar will be the comparative study of constructions in different languages of the world. One significant gain that modern Construction Grammar can make thanks to the cross-linguistic perspective is finding a clue to some contradictory cases of construction alternation. The aim of the present paper is to communicate the results of a case study of two pairs of alternating constructions in English and Russian: s-genitive (SG) and of-genitive (OG) in English and noun + noun in genitive case (NNG) and relative adjective derived from noun + noun (ANG) in Russian. It is evident that the long years of elaborate scientific analysis have not yielded any universally accepted view on the problem of English genitive alternation. There are at least five different accounts of this problem: the hypotheses of the animacy hierarchy, given-new hierarchy, topic-focus hierarchy, end-weight principle, and two semantically distinct constructions. We hypothesised that in this case the comparison of the distribution of two English and two Russian genitives could be insightful. The analysis presupposed two consecutive steps. First, we established an inter-language comparability of two pairs of constructions in English and Russian. Second, we tested the similarity of intra-language distribution of each pair of constructions from the perspective of the animacy hierarchy. For these two purposes, two types of corpora were used: (1) a translation corpus consisting of original texts in one language and their translations into one or more languages; and (2) national corpora consisting of original texts in two respective languages. It was established that in both languages, the choice between members of an alternating pair is governed by the rules of animacy hierarchisation. Additionally, it was possible to disprove the idea that the animacy hierarchy is necessarily based on the linearisation hierarchy. Two Russian constructions are typologically aligned with their English counterparts, not on the grounds of the linear order of head and modifier but on the grounds of structural similarity. The English SG and Russian NNG construction are diametrically opposed in terms of word order. However, they reveal the same underlying structure of the inflectional genitive as contrasted with the analytical genitive of the Russian ANG and the English OG. These findings speak strongly in favour of the animacy hierarchy account of English genitive alternation.

Variación y cambio en la formalización de la interrogación retórica en la historia del español

AbstractThis paper aims to investigate the specific mechanisms that contribute to formalizing the rhetorical interpretation of interrogative sentences throughout the history of Spanish. To this end, data from a corpus of biblical translations from the 13th to the 20th centuries are analyzed. As Biblical Hebrew and Latin use explicit elements to signal direct polar questions, it is relatively easy to locate a large number of passages with interrogative sentences, and then, examine the distribution of the translation equivalents used in the Spanish versions. The interrogative particles of Hebrew and Latin thus articulate a grammaticalized procedural meaning for which Spanish does not have an equivalent explicit marker. The systematic examination of the strategies that Spanish translators use to adapt these structures to their vernacular is therefore a way of accessing the intuitions of speakers from different periods in the history of Spanish in regard to the formulation of the rhetorical interrogative.

WITHDRAWN: English corpus translation system based on FPGA and machine learning

This article has been withdrawn: please see Elsevier Policy on Article Withdrawal (https://www.elsevier.com/about/our-business/policies/article-withdrawal). This article has been withdrawn at the request of the Editor in Chief. Subsequent to acceptance of this special issue paper by the responsible Guest Editor Sundhararajan Mahalingam, the integrity and rigor of the peer-review process was investigated and confirmed to fall beneath the high standards expected by Microprocessors & Microsystems. There are also indications that much of the Special Issue includes unoriginal and heavily paraphrased content. Due to a configuration error in the editorial system, unfortunately the Editor in Chief did not receive these papers for approval as per the journal's standard workflow.

A Neural-Network-Based Approach to Chinese–Uyghur Organization Name Translation

The recognition and translation of organization names (ONs) is challenging due to the complex structures and high variability involved. ONs consist not only of common generic words but also names, rare words, abbreviations and business and industry jargon. ONs are a sub-class of named entity (NE) phrases, which convey key information in text. As such, the correct translation of ONs is critical for machine translation and cross-lingual information retrieval. The existing Chinese–Uyghur neural machine translation systems have performed poorly when applied to ON translation tasks. As there are no publicly available Chinese–Uyghur ON translation corpora, an ON translation corpus is developed here, which includes 191,641 ON translation pairs. A word segmentation approach involving characterization, tagged characterization, byte pair encoding (BPE) and syllabification is proposed here for ON translation tasks. A recurrent neural network (RNN) attention framework and transformer are adapted here for ON translation tasks with different sequence granularities. The experimental results indicate that the transformer model not only outperforms the RNN attention model but also benefits from the proposed word segmentation approach. In addition, a Chinese–Uyghur ON translation system is developed here to automatically generate new translation pairs. This work significantly improves Chinese–Uyghur ON translation and can be applied to improve Chinese–Uyghur machine translation and cross-lingual information retrieval. It can also easily be extended to other agglutinative languages.

Building a Parallel Corpus for English Translation Teaching Based on Computer-Aided Translation Software

This paper conducts an in-depth study on the construction of parallel corpus for English translation teaching through computer-aided translation software, and this study adopts a combination of corpus statistics and analysis to portray and study the system. In the corpus statistics, we carried out a detailed data analysis of the translated text and the original text with the help of corpus statistics software to find out the linguistic characteristics of the translated text and the areas that can be improved from the perspective of data statistics. After that, based on frequency, mean value, grading value, and multiplication analysis, we carry out qualitative analysis to study the movie subtitle translation strategy and its causes from multiple perspectives. This thesis aims to make research on film and television translation from a new angle with the help of corpus translation and to make up for the gap in the research direction of film and television translation. Firstly, through the corpus analysis methods such as frequency value, mean value, graded value and multiplier value, a quantitative analysis of film texts is carried out from three levels, namely, high frequency, medium frequency and basic, and it is found that Chinese films have many distinctive characteristics in terms of long words and sentences, words and sentences, beginning and end of sentences, idioms and the use of four-character words.

Particulele afirmative în limba română – perspectivă diacronică și areală

The present article analyses the Romanian affirmative particles from a diachronic and areal perspective in order to determine their origin. The analysis of a corpus of original literary texts and translations of religious texts as well as dictionaries and grammars from different epochs has resulted in distinguishing in Romanian the following affirmative particles: aşa (since the 16th, and especially the 17th century), ei (in the 16th century), ie (since the second half of the 18th century) and da (since the 19th century). As the last three can be put in the East European areal context, a natural explanation of their origin would be the assumption that they were borrowed respectively from Church Slavonic, German and Slavic. However, also because of the special status of affirmative particles as a part of basic vocabulary of most languages, we propose to apply to them the foothold theory inspired by Abraham’s half-open doors theory (2011). Accordingly, we believe that borrowing the particle ei from Church Slavonic could have used as a foothold the Old Romanian conjunction e (< lat. et) and the ie borrowed from German was superposed on the Romanian verbal form e ‘is’. On the other hand, the Slavic loanword da coincided with the inner semantic evolution of the Romanian forms dară ~ dar ~ da from an adversative conjunction to an affirmative particle.

MuST-C: A multilingual corpus for end-to-end speech translation

End-to-end spoken language translation (SLT) has recently gained popularity thanks to the advancement of sequence to sequence learning in its two parent tasks: automatic speech recognition (ASR) and machine translation (MT). However, research in the field has to confront with the scarcity of publicly available corpora to train data-hungry neural networks. Indeed, while traditional cascade solutions can build on sizable ASR and MT training data for a variety of languages, the available SLT corpora suitable for end-to-end training are few, typically small and of limited language coverage. We contribute to fill this gap by presenting MuST-C, a large and freely available Multilingual Speech Translation Corpus built from English TED Talks. Its unique features include: i) language coverage and diversity (from English into 14 languages from different families), ii) size (at least 237 hours of transcribed recordings per language, 430 on average), iii) variety of topics and speakers, and iv) data quality. Besides describing the corpus creation methodology and discussing the outcomes of empirical and manual quality evaluations, we present baseline results computed with strong systems on each language direction covered by MuST-C.