1,064 research outputs found

    A corpus-based CDA study of ideological mediation through translation shifts: an analysis of the official Chinese-English translation of the governance of China

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    This study aims to explore the extent to which President Xi’s ideological message is mediated in the official Chinese-English translation of The Governance of China via various translation shifts and analyze the possible ideological reasons behind it. Unlike previous studies whose interpretation of translation shifts has been restricted to either the linguistic level or the speech situation, this research project focuses on exploring the translation shifts’ ideological significance within the broader sociopolitical context. It adopts a mixed-methods approach, merging critical discourse analysis (CDA) and corpus-based translation studies. A parallel corpus based on the source and target texts of President Xi’s domestic speeches to officials and Party members, published in The Governance of China, was built to ensure a quantitative and qualitative analysis. It is also noteworthy that this study concentrates on the key Chinese modality markers, transitivity processes, metaphorical expressions, and referring terms that stand out in the present research corpus compared to general Chinese discourse instead of all the existing or the most frequent ones. The overall results suggest that translation shifts in modality, transitivity, metaphor, and reference have slightly increased the ideological significance of strengthening the government and the Party’s self-discipline compared to other national issues, and exhibited a tendency to contextualize considering the foreign audiences’ ideological positions. Such shifts may be related to the translation agency’s commitment and the state’s current foreign policy. Ultimately, this study reveals subtle ideological translation shifts that will be buried if researchers treat source and target texts separately. It calls for translators to raise awareness of textual features’ ideological potential and encourages audiences to pay attention to the institutional and sociopolitical background of translated texts

    Produkce diskurzu českých mluvčích s afázií: Explorace s využitím usage-based lingvistiky

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    The research in linguistic aphasiology has been dominated by structuralist, rule-based approaches to the study of langauge. However, recent work has shown that analyses based in constructivist, usage-based frameworks can provide explanations to patterns of language processing in aphasia that are difficult to accommodate in structuralist models. The present work follows up on these findings and aims to provide additional evidence for the benefits of the usage-based model by using data from Czech speakers with aphasia, an understudied language in this context. The aims of the study were threefold: to create a collection of samples of aphasic connected speech available to other researchers, to provide a description of the patterns of aphasic discourse production in Czech, and, most importantly, to show potential benefits of usage-based construction grammar for aphasia research. A corpus of the speech of eleven persons with fluent and non-fluent aphasia of varying degrees of severity was created. The corpus consist of more than 23000 word position produced by speakers with aphasia in tasks used to elicit conversational, narrative, descriptive, and procedural discourse. The corpus is lemmatized and morphologically tagged and the transcripts are aligned with audio recordings. A smaller sample of three,...Výzkum v lingvistické afaziologii využíval po dlouhou dobu především strukturalistické přístupy založené na pravidlech. Některé výsledky z poslední doby však ukazují, že konstruktivistické přístupy založené na užívání jazyka (usage-based přístup) dokážou vysvětlit některá specifika zpracování jazyka v afázii, která jsou ve strukturalistickém rámci obtížně vysvětlitelná. Předkládaná dizertační práce navazuje na tyto výzkumy a klade si za cíl předložit další důkazy pro výhodnost usage-přístupu. Využívá přitom data z češtiny, která je v afaziologickém výzkumu značně podreprezentovaná. Práce si stanovila tři cíle: jednak shromáždit projevy českých mluvčích s afázií, které by byly přístupné dalším výzkumníkům, dále podat detailní popis produkce diskurzu v afázii v češtině a konečně ukázat některé přednosti usage-based přístupu pro afaziologii. V rámci práce byl vytvořen korpus jedenácti mluvčích s fluentní a nefluentní afázií s různými stupni závažnosti poruchy. Korpus obsahuje přes 23000 slovních pozic vyprodukovaných mluvčími s afázií sebranými s využitím úkolů, jejichž cílem bylo elicitovat konverzační, narativní, deskriptivní a procedurální diskurz. Korpus je lematizován a morfologicky označkován. Dále je v něm zahrnut menší vzorek řečové produkce tří neurotypických mluvčích se srovnatelnými...Ústav českého jazyka a teorie komunikaceInstitute of Czech Language and Theory of CommunicationFaculty of ArtsFilozofická fakult

    Computer Vision and Architectural History at Eye Level:Mixed Methods for Linking Research in the Humanities and in Information Technology

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    Information on the history of architecture is embedded in our daily surroundings, in vernacular and heritage buildings and in physical objects, photographs and plans. Historians study these tangible and intangible artefacts and the communities that built and used them. Thus valuableinsights are gained into the past and the present as they also provide a foundation for designing the future. Given that our understanding of the past is limited by the inadequate availability of data, the article demonstrates that advanced computer tools can help gain more and well-linked data from the past. Computer vision can make a decisive contribution to the identification of image content in historical photographs. This application is particularly interesting for architectural history, where visual sources play an essential role in understanding the built environment of the past, yet lack of reliable metadata often hinders the use of materials. The automated recognition contributes to making a variety of image sources usable forresearch.<br/

    Workshop Proceedings of the 12th edition of the KONVENS conference

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    The 2014 issue of KONVENS is even more a forum for exchange: its main topic is the interaction between Computational Linguistics and Information Science, and the synergies such interaction, cooperation and integrated views can produce. This topic at the crossroads of different research traditions which deal with natural language as a container of knowledge, and with methods to extract and manage knowledge that is linguistically represented is close to the heart of many researchers at the Institut für Informationswissenschaft und Sprachtechnologie of Universität Hildesheim: it has long been one of the institute’s research topics, and it has received even more attention over the last few years

    Cross-linguistic Effects on Spoken Picture Naming in Bilingual People with Aphasia

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    This project investigated language production in bilingual speakers with aphasia post-stroke. Existing bilingual language theories are still underspecified despite a growing bilingual population. Three extensive picture naming studies across five language combinations were conducted using a case series design. Analysis considered individual speakers' accuracy, error patterns, heterogeneous language profiles, language breakdowns, and unique lexical variables for each language. The project’s furthered our understanding of bilingual word retrieval and produced bilingual assessment resources for five languages

    Complexity Science in Human Change

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    This reprint encompasses fourteen contributions that offer avenues towards a better understanding of complex systems in human behavior. The phenomena studied here are generally pattern formation processes that originate in social interaction and psychotherapy. Several accounts are also given of the coordination in body movements and in physiological, neuronal and linguistic processes. A common denominator of such pattern formation is that complexity and entropy of the respective systems become reduced spontaneously, which is the hallmark of self-organization. The various methodological approaches of how to model such processes are presented in some detail. Results from the various methods are systematically compared and discussed. Among these approaches are algorithms for the quantification of synchrony by cross-correlational statistics, surrogate control procedures, recurrence mapping and network models.This volume offers an informative and sophisticated resource for scholars of human change, and as well for students at advanced levels, from graduate to post-doctoral. The reprint is multidisciplinary in nature, binding together the fields of medicine, psychology, physics, and neuroscience

    Proceedings of the 8th Workshop on Detection and Classification of Acoustic Scenes and Events (DCASE 2023)

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    This volume gathers the papers presented at the Detection and Classification of Acoustic Scenes and Events 2023 Workshop (DCASE2023), Tampere, Finland, during 21–22 September 2023

    Language variation, automatic speech recognition and algorithmic bias

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    In this thesis, I situate the impacts of automatic speech recognition systems in relation to sociolinguistic theory (in particular drawing on concepts of language variation, language ideology and language policy) and contemporary debates in AI ethics (especially regarding algorithmic bias and fairness). In recent years, automatic speech recognition systems, alongside other language technologies, have been adopted by a growing number of users and have been embedded in an increasing number of algorithmic systems. This expansion into new application domains and language varieties can be understood as an expansion into new sociolinguistic contexts. In this thesis, I am interested in how automatic speech recognition tools interact with this sociolinguistic context, and how they affect speakers, speech communities and their language varieties. Focussing on commercial automatic speech recognition systems for British Englishes, I first explore the extent and consequences of performance differences of these systems for different user groups depending on their linguistic background. When situating this predictive bias within the wider sociolinguistic context, it becomes apparent that these systems reproduce and potentially entrench existing linguistic discrimination and could therefore cause direct and indirect harms to already marginalised speaker groups. To understand the benefits and potentials of automatic transcription tools, I highlight two case studies: transcribing sociolinguistic data in English and transcribing personal voice messages in isiXhosa. The central role of the sociolinguistic context in developing these tools is emphasised in this comparison. Design choices, such as the choice of training data, are particularly consequential because they interact with existing processes of language standardisation. To understand the impacts of these choices, and the role of the developers making them better, I draw on theory from language policy research and critical data studies. These conceptual frameworks are intended to help practitioners and researchers in anticipating and mitigating predictive bias and other potential harms of speech technologies. Beyond looking at individual choices, I also investigate the discourses about language variation and linguistic diversity deployed in the context of language technologies. These discourses put forward by researchers, developers and commercial providers not only have a direct effect on the wider sociolinguistic context, but they also highlight how this context (e.g., existing beliefs about language(s)) affects technology development. Finally, I explore ways of building better automatic speech recognition tools, focussing in particular on well-documented, naturalistic and diverse benchmark datasets. However, inclusive datasets are not necessarily a panacea, as they still raise important questions about the nature of linguistic data and language variation (especially in relation to identity), and may not mitigate or prevent all potential harms of automatic speech recognition systems as embedded in larger algorithmic systems and sociolinguistic contexts
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