Methodological issues in the use of directional parallel corpora

Dupont, Maïté; Zufferey, Sandrine

doi:10.1075/ijcl.22.2.05dup

Cited by 39 publications

(7 citation statements)

References 31 publications

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“…One example is multilingual subtitles: and within these, a particularly useful dataset comes from TED talks -these are routinely translated by volunteers into many languages with administratively managed quality checks; they cover a variety of topics and knowledge domains, and they are open access (Cettolo et al 2012). There are limitations, for example translations are mainly from English to other languages; and since many talks are pre-scripted, they may not represent typical conversational register (Dupont & Zufferey 2017;Lefer & Grabar 2015). TED talks are nevertheless valuable for parallel data.…”

Section: Translation Of Textsmentioning

confidence: 99%

The Dawn of the Human-Machine Era: A forecast of new and emerging language technologies

Sayers¹,

Sousa‐Silva²,

Höhn³

et al. 2021

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New language technologies are coming, thanks to the huge and competing private investment fuelling rapid progress; we can either understand and foresee their effects, or be taken by surprise and spend our time trying to catch up. This report scketches out some transformative new technologies that are likely to fundamentally change our use of language. Some of these may feel unrealistically futuristic or far-fetched, but a central purpose of this report - and the wider LITHME network - is to illustrate that these are mostly just the logical development and maturation of technologies currently in prototype. But will everyone benefit from all these shiny new gadgets? Throughout this report we emphasise a range of groups who will be disadvantaged and issues of inequality. Important issues of security and privacy will accompany new language technologies. A further caution is to re-emphasise the current limitations of AI. Looking ahead, we see many intriguing opportunities and new capabilities, but a range of other uncertainties and inequalities. New devices will enable new ways to talk, to translate, to remember, and to learn. But advances in technology will reproduce existing inequalities among those who cannot afford these devices, among the world’s smaller languages, and especially for sign language. Debates over privacy and security will flare and crackle with every new immersive gadget. We will move together into this curious new world with a mix of excitement and apprehension - reacting, debating, sharing and disagreeing as we always do. Plug in, as the human-machine era dawns.

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Section: Translation Of Textsmentioning

confidence: 99%

The Dawn of the Human-Machine Era: A forecast of new and emerging language technologies

Sayers¹,

Sousa‐Silva²,

Höhn³

et al. 2021

View full text Add to dashboard Cite

show abstract

“…This ties in with a recent trend in contrastive studies, in which more attention is given to cross-linguistic variation across genres or registers (see e.g. Dupont and Zufferey, 2017;Lefer and Vogeleer, 2014;Neumann, 2014;Teich, 2003). Moreover, the study addresses potential benefits of using both comparable and (bidirectional) translation corpora to widen the horizons of contrastive studies.…”

Section: Introduction and Aimsmentioning

confidence: 53%

Hope for the future: An analysis of HOPE/HÅP(E) across genres and languages

Ebeling¹

2021

BeLLS

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This article reports on a contrastive study of the cognate nouns and verbs hope and håp(e) that investigates their lexico-grammatical conditions of use in English vs. Norwegian fiction texts and football match reports. The complex dataset consists of material from a parallel corpus of fiction texts and a comparable corpus of football match reports. An interesting finding is that the verb use outnumbers the noun use in the fiction texts, whereas the noun use outnumbers the verb use in the match reports in both languages. Moreover, the analysis of the lemmas suggests that they have similar potential of use but with slightly different preferences, both across the genres and languages. It is also suggested that the English lemmas are more consistently used in negative contexts than the Norwegian ones. Finally, the method of combining data from two different types of contrastive corpora proved fruitful, as the results become more robust.

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“…In terms of metadiscourse and translation (either written or spoken mode) there are reportedly some semi-related works (see for example e.g., Williams 2010;Gholami et al 2014;Davtalab et al 2012;Herriman 2014;Kafipour 2016;Mardani 2017;Dupont and Zufferey 2017;Dastjerdi 2019, Vasheghani Farahani andKazemi 2020). The results of these studies mostly demonstrated that, in terms of translation, due to the omission of metadiscourse features, there were, reportedly, fewer metadiscourse features in the target language as compared to the original language and that the interaction between the writer and the reader changed in translation.…”

Section: Review Of Literaturementioning

confidence: 99%

Speaker-Audience Interaction in Spoken Political Discourse : A Contrastive Parallel Corpus-Based Study of English-Persian Translation of Metadiscourse Features in TED Talks

Farahani

Kazemian

2021

Corpus Pragmatics

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Metadiscourse features refer to those elements by which interaction between writer-reader and/or speaker-audience is constructed. Taking this into account, the objective of this contrastive parallel corpus-based study was to explore the way metadiscourse features were used and distributed in the English discourse and their translation in the Persian language as well as analyzing the speaker-audience interaction in translation. For this purpose, 30 different TED talks in politics were randomly selected to ensure the issues of corpus representativeness and balance. The corpus consisted of 21681 tokens in English and 21164 tokens in Persian. For classifying the metadiscourse features, the model introduced by Hyland (Metadiscourse: exploring interaction in writing. Continuum, London, 2005), whose model is classified into two main subcategories of interactive and interactional, was employed. The quantitative analysis showed that overall the number of interactional metadiscourse features was used more than that of the interactive ones in both corpora. Moreover, the results of the Chi-square test revealed that there was statistically no significant difference between the distributional pattern of metadiscourse features in English corpus and their Persian translation. The qualitative analysis revealed that there were four kinds of changes in translation as (im) explicit change, (dis)information change, (in) visibility change, and (de)emphasis change. Besides, the quantitative and qualitative analysis of the corpus revealed that the interaction between the speakers of the TED talks and the audience did not change when metadiscourse features translated from English into Persian. The results of this research can be found useful for researchers in contrastive analysis, translation studies, and corpus-based translation studies.

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Methodological issues in the use of directional parallel corpora

Cited by 39 publications

References 31 publications

The Dawn of the Human-Machine Era: A forecast of new and emerging language technologies

The Dawn of the Human-Machine Era: A forecast of new and emerging language technologies

Hope for the future: An analysis of HOPE/HÅP(E) across genres and languages

Speaker-Audience Interaction in Spoken Political Discourse : A Contrastive Parallel Corpus-Based Study of English-Persian Translation of Metadiscourse Features in TED Talks

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