How is Music Translated? Mapping the Landscape of Music Translation

Desblache, Lucile

doi:10.1057/978-1-137-54965-5_6

Cited by 2 publications

(2 citation statements)

References 25 publications

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“…Opera surtitling has been investigated from the wider perspective of opera accessibility, with articles by Desblache (2018Desblache ( , 2019, Eardley-Weaver (2010, 2014a, 2014b, Matamala & Orero (2007), Neves (2010), Oncins (2014Oncins ( , 2015, Redzioch-Korkuz (2015) or Secara (2018) addressing the problem alongside studies on audio description (AD), surtitling for the D/deaf and Hard-of-Hearing or sign language in opera. In the specific case of surtitling for the deaf and hard-of-hearing, surtitles at opera houses are mainly intended for circumventing linguistic barriers rather than providing accessibility for all (Matamala & Orero 2007, Oncins 2015.…”

Section: Media Accessibility In Operamentioning

confidence: 99%

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2020

MonTI

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Eleven years have now passed since the first issue of the journal MonTI saw the light of day in the year 2009. That first emblematic issue, entitled A (Self-) Critical Perspective of Translation Theories, impeccably edited by Professor África Vidal Claramonte and Professor Javier Franco Aixelá, was born with a strong will to become an international benchmark in its own right in the field of Translation and Interpreting studies. In fact, as we speak, the editors of the present issue find ourselves here at the University of Virginia with the very first issue of MonTI in our hands. And, as incredible as it may seem, we did not bring it here from Spain or from Italy. Rather, we found it here, without even looking for it, not in Alderman Library, where, as in the majority of major university libraries in the United States, one can find the unexpected. Surprisingly, and what pleases us to no end, is that the original issue of MonTI was occupying a central spot on one of the shelves filled with books in the office of Joel Rini, Professor of Spanish Linguistics and Philology here at the University of Virginia, who most kindly loaned it to us.The enthusiastic words of Franco Aixelá (2009:33-34), found in the initial pages of this first issue of the journal, clearly reflected the aforementioned will of MonTI becoming a benchmark of utmost quality in our discipline:In our case, we have attempted to create a journal on the basis of a clear identity, as well as to give it visibility through a special concern for quality.It is an aspiration still to be achieved, but we can guarantee that there will be no lack of enthusiasm and commitment to meet these aims. To be more specific, the essential characteristics that will define our journal are: internationalism, plurality, rigor and internal democracy. Internationalism in our journal will rest on three pillars: multilingualism, electronic publication and accessibility (Franco Aixelá 2009: 9-10) (Our italics).Well then, after all these years, since these words were written, here we are, in a prestigious American university, thousands of kilometers from the Valencian Community, and we can truly affirm that this aspiration to become an international benchmark with "a special concern for quality" is already a goal achieved, as MonTI currently ranks among the scientific journals of our field with the highest quality rates.

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Section: Media Accessibility In Operamentioning

confidence: 99%

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2020

MonTI

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“…This is evidenced by the relatively large amount of content found in online resources such as TikTok, YouTube, or Instagram. Such content makes the interpretation of the spoken songs possible for the deaf community, encouraging visualisation of music (Desblache, 2019). We consider interpreted songs as our data format because it is possible to find the same songs interpreted in different sign languages, which makes the comparison of the sign languages more precise.…”

Section: Online Datamentioning

confidence: 99%

Towards Large-Scale Data Mining for Data-Driven Analysis of Sign Languages

Mocialov¹,

Turner²,

Hastie³

2020

Preprint

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Access to sign language data is far from adequate. We show that it is possible to collect the data from social networking services such as TikTok, Instagram, and YouTube by applying data filtering to enforce quality standards and by discovering patterns in the filtered data, making it easier to analyse and model. Using our data collection pipeline, we collect and examine the interpretation of songs in both the American Sign Language (ASL) and the Brazilian Sign Language (Libras). We explore their differences and similarities by looking at the co-dependence of the orientation and location phonological parameters.

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How is Music Translated? Mapping the Landscape of Music Translation

Cited by 2 publications

References 25 publications

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Towards Large-Scale Data Mining for Data-Driven Analysis of Sign Languages

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