How different is translated Chinese from native Chinese?

Xiao, Richard

doi:10.1075/ijcl.15.1.01xia

Cited by 103 publications

(42 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…We also tagged these words with parts of speech in order to retrieve all the country names. The software we used is ICTCLAS, the most widely employed Chinese POS tagging and word segmenting software (Xiao, 2010), which covers the tagging of place names. To ensure segmentation and POS tagging are correct, manual proofreading by native Chinese speakers was also carried out.…”

Section: Research Design and Methodologymentioning

confidence: 99%

How does China appraise self and others? A corpus-based analysis of Chinese political discourse

Тао

Zhu

2019

Discourse & Society

View full text Add to dashboard Cite

Political discourse is a major site where ideological construction of both Self and Others is carried out. Based on a corpus of 98 political texts issued by Chinese governing bodies from 2000 to 2018, this study adopts Appraisal System to analyse the lexical items that indicate attitudes towards China and other countries with a view to revealing the ways in which China and other countries are appraised in Chinese political discourse. It is found that (1) Chinese political discourse does represent the ideological square of positive Self-presentation and negative Other-presentation, but more frequently it negatively evaluates China’s things (appreciation) rather than its behaviours (judgement) while more negative appraisals are used to describe Others’ behaviours rather than Their things, (2) interestingly, while China upturns Others’ negative profiles, it also upscales negative presentation of Self; likewise, China mitigates negative presentation of both Self and Others, (3) Chinese political discourse allows more external voices when expressing its attitudes towards Self. The analysis shows that the producers of Chinese political discourse skilfully use appraisal resources, sometimes implicitly, to construct a subtle but dynamic ‘Self versus Other’ ideological structure in Chinese political discourse, which enhances the understanding of China’s moderate view on itself and others in its pursuit of national interests.

show abstract

Section: Research Design and Methodologymentioning

confidence: 99%

How does China appraise self and others? A corpus-based analysis of Chinese political discourse

Тао

Zhu

2019

Discourse & Society

View full text Add to dashboard Cite

show abstract

“…It is vital since it is still unknown what factors (and to what an extent) impact basic stylometric indicators. Also, more quantitative research on translation universals in Polish (in line with studies by Scarpa 2006, Corpas Pastor et al 2008, Xiao 2010, including examination of other T-and S-universals (i.e. explicitation, simplification, normalization, sanitization and levelling out) should be conducted in the future.…”

Section: Discussionmentioning

confidence: 95%

“…Such a decision is dictated by the results of a number of quantitative and qualitative studies of TUs (e.g. Corpas Pastor et al 2008, Scarpa 2006, Xiao 2010) which revealed that a direction of translation, or language pairs involved in the translation process, may impact basic stylometric indicators.…”

Section: Introductionmentioning

confidence: 99%

Interfacing corpus linguistics and computational stylistics

Grabowski¹

2013

IJCL

View full text Add to dashboard Cite

This paper attempts to explore the potential of selected corpus linguistics and computational stylistics methods in research on translation universals in translational literary Polish. It deals with T-universals (Chesterman 2004), with emphasis on the simplification hypothesis, as manifested in the core patterns of lexical use (Laviosa 1998) and the levelling out hypothesis (Baker 1996). To that end, the purpose-designed corpora, each with approximately 350,000 tokens, of contemporary translational and non-translational literary Polish were compiled. The results confirm the simplification and the levelling out hypotheses but only with reference to the mean sentence length and variance for the mean sentence length. On the other hand, the results of multivariate analyses (Principal Components Analysis and Cluster Analysis) confirm the levelling out hypothesis that translations are more alike as compared with native texts.

show abstract

“…4-grams (see Biber et al 2004), and without giving any special attention to a particular type of 3-gram from the outset (e.g. Baker 2004, Xiao 2010, 2011.…”

Section: Introductionmentioning

confidence: 99%

Comparingn-gram-based functional categories in originalversustranslated texts

Ebeling¹,

Ebeling²

2018

Corpora

View full text Add to dashboard Cite

This study outlines and tests a method for comparing the use of functional categories consisting of high-frequency 3-grams in original and translated texts. The 3-grams are extracted from a corpus of contemporary English fiction texts (EO) and a comparable corpus of fiction texts translated into English from Norwegian (ET). The two varieties contain the same number of texts, thirty-nine, and about the same number of words, 1.3 to 1.4 million. Several different baselines against which to normalise the 3-gram frequencies are tested and a way of evening out the initial differences between the token counts of EO and ET is proposed. These last two points have an impact on the extent to which some of the categories differ statistically. On the basis of the comparison of the token counts of the 3-grams extracted for the study, it seems that most differences are a matter of degree, rather than being systemic at the level of the functions investigated.

show abstract

How different is translated Chinese from native Chinese?

Cited by 103 publications

References 14 publications

How does China appraise self and others? A corpus-based analysis of Chinese political discourse

How does China appraise self and others? A corpus-based analysis of Chinese political discourse

Interfacing corpus linguistics and computational stylistics

Comparingn-gram-based functional categories in originalversustranslated texts

Contact Info

Product

Resources

About