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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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Dataset of Estudi i caracterització de la traducció catalana de Macbeth feta per Cebrià Montoliu 1907

Authors: Cantavella, Rosanna; Palomares Cabanilles, Júlia;

Dataset of Estudi i caracterització de la traducció catalana de Macbeth feta per Cebrià Montoliu 1907

Abstract

Three data files explaining and complementing Júlia Palomares' degree dissertation, on the translation techniques (English to Catalan) of Cebrià Montoliu's 1907 translation of William Shakespeare's tragedy Macbeth. The data contained in these files have been obtained with the use of Skecth Engine, the European program for translators. These are the files: Wordlist inicial de la versió original de 'Macbeth': An initial wordlist listing all Macbeth words and signs specifying occurrence number in every case. On this exhaustive list a work of pruning has been applied, resulting in: Wordlist final de la versió original de 'Macbeth', a wordlist in which only the final 870 selected words (nouns and adjectives) appear. From this list, the next step was: Concordances de ‘Macbeth’ en anglés i català (traducció de Montoliu, 1907). This is an extensive double list in which every one of these 870 words has been listed in its context (span of 25 words before and 25 after the selected word), with each term faced in every case with its corresponding translated word or words, with an equal context span.

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Keywords

Macbeth, translation, data, occurrences, equivalent, Sketch Engine, NLP, Natural Language Processing

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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