The translation teaching platform based on multilingual corpora of Xi Jinping: The Governance of China: Design, resources and applications

Kaibao, Hu; Afzaal, Muhammad

doi:10.1016/j.actpsy.2023.104110

Cited by 6 publications

(1 citation statement)

References 13 publications

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“…The latter requires researchers to empower machines with human cognitive capacity so that they can recognize, react and express emotions and sentiments like humans. To achieve this, machines need to undertake deep learning to understand the complex syntactic and semantic norms in a language [ 1 , 5 , 6 ] requiring a sea of data for machine learning so that machines might identify the language characteristics from the huge number of texts. This is computationally heavier than the lexicon-based approach.…”

Section: Introductionmentioning

confidence: 99%

A lexicon-based diachronic comparison of emotions and sentiments in literary translation: A case study of five Chinese versions of David Copperfield

Li,

Afzaal,

Yin

2024

PLoS ONE

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In the Chinese context, translations have served as a useful conduit for providing access to wider literature authored in other languages. A prominent question has been whether translators’ linguistic choices are influenced by factors such as translators’ social and cultural background and emotions towards the texts they are translating. When multiple translations of the same text over a span of time are produced, another layer of complexity is introduced, and research such as the present study, must examine how or whether variation in the expression of emotions within translations produced over a period of time is discernible. To this end, the present study made use of Lexicon-based Sentiment Analysis (LBSA), a common natural language processing (NLP) approach, to study people’s attitudes, opinions or emotions towards a certain person or thing. LBSA has attracted much attention in the literary works or translated works for analyzing reader response and appraisal of the works themselves. The present study undertook a diachronic comparison of emotions and sentiments in five translations of David Copperfield based on the emotion lexicons. The corpus of the study comprised translations of five books and 3,084,599 tokens. We applied the computational method of emotion and sentiment analysis to the emotion words in the five translations. In addition, we used python and R package to analyze the positive and negative words in five versions. The study revealed that translators as social beings in the target world express unique reactions towards the same emotion in the original text as well as in literary translations. Yet, the modern vernacular Chinese versions also showcase a similarity in the expression of emotions thus demonstrating the decisive role of the overall flow of emotion in the original plays and in translation. The contribution of the study is significant as it is a pioneering investigation given that it undertakes a sentiment and emotion analysis of literary translations in Chinese.

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Section: Introductionmentioning

confidence: 99%

A lexicon-based diachronic comparison of emotions and sentiments in literary translation: A case study of five Chinese versions of David Copperfield

Li,

Afzaal,

Yin

2024

PLoS ONE

Self Cite

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Analyzing modality-mediated ideology in translated Chinese political discourses: an ideological square model approach

Lijuan,

Afzaal

2024

Humanit Soc Sci Commun

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This study investigates the correlation between textual ideology and the English translations of political discourse. It focuses on how the translation shifts of modality relate to the socio-political and socio-cultural context of Chinese political discourse using the modality system of Systemic Functional Linguistics (SFL) as the theoretical framework. Three main types of translation shifts between should and will, and their corresponding items are identified. First, the addition of modal items should and will in the TTs; second, downgrading the modality value of Chinese modality items to the lower-valued should and will in the TTs; third, upgrading the modality value of Chinese modality items to a higher-valued will in the TTs. The study attributes these findings to van Dijk’s ideological square model and the variable of tenor (the social distance between the speaker and the addresses and the social distance between the official translators of Chinese political discourse and the international audience.

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Unlocking the Mysteries of Academic Writing: A Corpus-based Analysis of Lexical Bundles in L2 English for Engineering Students

Wing Yee Siu,

Afzaal,

Saleh Aldayel

et al. 2024

Sage Open

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This study examines the use of lexical bundles in reports produced by university-level L2 English writers in civil and environmental engineering (CEE). The corpus consists of 119 reports, and the study compares the use of different types of lexical bundles (3-word, 4-word, and 5-word) in high-scoring and low-scoring papers. The results show that high-scoring papers use a wider range of lexical bundles, and that the use of lexical bundles varies by discipline. The study also identifies specific features of the lexical bundles that contribute to score differences. The findings suggest that teaching lexical bundles and vocabulary can improve the academic writing of engineering students. The paper concludes by calling for further research on the impact of formulaic expressions on attainment scores in L2 writing.

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The translation teaching platform based on multilingual corpora of Xi Jinping: The Governance of China: Design, resources and applications

Cited by 6 publications

References 13 publications

A lexicon-based diachronic comparison of emotions and sentiments in literary translation: A case study of five Chinese versions of David Copperfield

A lexicon-based diachronic comparison of emotions and sentiments in literary translation: A case study of five Chinese versions of David Copperfield

Analyzing modality-mediated ideology in translated Chinese political discourses: an ideological square model approach

Unlocking the Mysteries of Academic Writing: A Corpus-based Analysis of Lexical Bundles in L2 English for Engineering Students

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