The translator’s visibility: Detecting translatorial fingerprints in contemporaneous parallel translations

Lynch, Gerard; Vogel, Carl

doi:10.1016/j.csl.2018.05.002

Cited by 11 publications

(18 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The two most recent works, which are also closer to what we attempt here, are [20] and [21]. The authors of both papers use the methodology suggested by Baker [5] of using parallel corpora-same source text translated by different people into the same target language.…”

Section: A Previous Work On Translated Textsmentioning

confidence: 89%

“…It is worth mentioning in order to contrast their results against ours, that, as part of their data preprocessing, they cleaned and lemmatized the text leaving only alphanumeric characters (thus removing punctuation). Contrasting with [20] and even though they did use a feature selection technique by ranking, El-Fiqi et al [21] did not present the network motifs most distinctive for each translator nor provide an stylistic interpretation of their results.…”

Section: A Previous Work On Translated Textsmentioning

confidence: 91%

“…Lynch and Vogel [20] decided to use two corpora. The first one comprises seven works by Norwegian playwright Henrik Ibsen translated into English by two translators.…”

Section: A Previous Work On Translated Textsmentioning

confidence: 99%

See 2 more Smart Citations

On Explainable Features for Translatorship Attribution: Unveiling the Translator’s Style With Causality

2021

View full text Add to dashboard Cite

Translatorship attribution deals with accurately attributing a translation to its translator. The task is challenging because several factors can confound the attribution such as the original author's style, genre, and topic of the text. The attribution and the identification of the translator's style could contribute to fields including translation studies and forensic linguistics. In this paper, we pose translatorship attribution as a multiclass classification problem and employ machine learning algorithms. To address the problem of confounding, we use corpora of English translations of the same source material (parallel corpora) to identify the translators' personal style. We propose two novel feature sets in this task: i) a list of cohesive markers with and without their surrounding punctuation and ii) syntactic n-grams to capture real syntactic information. We employ χ 2 feature selection and, using 10-fold cross-validation, assess the accuracy of several classifiers trained with our proposed features and with word, punctuation, POS, and POS-punctuation n-grams. The results show that the proposed features yield comparable and even higher accuracy results than the reported in the literature on the same corpora and prove that POS-punctuation n-grams are an effective feature set for this task. We also recover the most distinctive features and provide examples of stylistic interpretations of them for each translator. Finally, using insights from causal inference, where confounding is well-defined and studied, we provide a novel explanation for the accepted need of using parallel and contemporaneous corpora on this task and for the different results among types of features.

show abstract

Section: A Previous Work On Translated Textsmentioning

confidence: 89%

Section: A Previous Work On Translated Textsmentioning

confidence: 91%

See 1 more Smart Citation

On Explainable Features for Translatorship Attribution: Unveiling the Translator’s Style With Causality

2021

View full text Add to dashboard Cite

show abstract

“…With the tokenized words, we extract the average words per size (avgWordSize) and the total number of sentences (sentences). The typetoken ratio (ttr) was obtained to capture the lexical diversity of the contained vocabulary in an article [Lynch andVogel 2018, Zhou et al 2004]. If the ttr value is low, it means that the text has redundancies.…”

Section: Features Complexitymentioning

confidence: 99%

A Multi-label Classification System to Distinguish among Fake, Satirical, Objective and Legitimate News in Brazilian Portuguese

Morais

Abonizio

Tavares

et al. 2020

iSys

View full text Add to dashboard Cite

Currently, there has been a significant increase in the diffusion of fake news worldwide, especially the political class, where the possible misinformation that can be propagated, appearing at the elections debates around the world. However, news with a recreational purpose, such as satirical news, is often confused with objective fake news. In this work, we decided to address the differences between objectivity and legitimacy of news documents, where each article is treated as belonging to two conceptual classes: objective/satirical and legitimate/fake. Therefore, we propose a DSS (Decision Support System) based on a Text Mining (TM) pipeline with a set of novel textual features using multi-label methods for classifying news articles on these two domains. For this, a set of multi-label methods was evaluated with a combination of different base classifiers and then compared with a multi-class approach. Also, a set of real-life news data was collected from several Brazilian news portals for these experiments. Results obtained reported our DSS as adequate (0.80 f1-score) when addressing the scenario of misleading news, challenging the multi-label perspective, where the multi-class methods (0.01 f1-score) overcome by the proposed method. Moreover, it was analyzed how each stylometric features group used in the experiments influences the result aiming to discover if a particular group is more relevant than others. As a result, it was noted that the complexity group of features could be more relevant than others.

show abstract

“…Description of A.P. Chekhov's works in the aspect of intercultural translation is based on a wide range of problems, connected with the given research (Freedman, 1988;Nankov, 2003;2013;Purves, 2009;Garach, 2016;Lynch & Vogel, 2018).…”

Section: Literature Reviewmentioning

confidence: 99%

Untitled

Volskaya

Tameryan

Zheltukhina

et al. 2018

MJLTM

View full text Add to dashboard Cite

The aim of this paper is to study the unique and universal features of the author's presentation of life and death based on the prose of late XIX-early XX centuries in the aspect of interaction between the Russian and English pictures of the world. We detail the results of lexicographical and etymological analysis, contextual, conceptual and cognitive review of translation strategies and techniques of Chekhov's fiction. A number of prose, drama and letters translations of Anton Chekhov by Constance Garnett Julius West and Gerard R. Ledger are examined for this purpose. By carrying out an analysis of these texts using a variety of methods we state that the effectiveness of translation is determined by the functionality of decoding. The personality of the interpreter acts as an intermediate link in the translation process, the competence and creative potential of whom provides interpretation of the author's ideas in the target language. Consequently, we validate hypotheses that the full convergence of ideas about life and death of the Russians and British facilitates the transfer of Chekhov's images into English to a large extend.

show abstract

The translator’s visibility: Detecting translatorial fingerprints in contemporaneous parallel translations

Cited by 11 publications

References 15 publications

On Explainable Features for Translatorship Attribution: Unveiling the Translator’s Style With Causality

On Explainable Features for Translatorship Attribution: Unveiling the Translator’s Style With Causality

A Multi-label Classification System to Distinguish among Fake, Satirical, Objective and Legitimate News in Brazilian Portuguese

Untitled

Contact Info

Product

Resources

About