Please use this identifier to cite or link to this item:
http://hdl.handle.net/10077/18479
Title: | Distanza intertestuale e lingua fonte: premesse teoriche, compilazione di un corpus e procedure di analisi | Authors: | Ondelli, Stefano Nadalutti, Paolo |
Keywords: | Computational Linguistics; Corpus linguistics; Intertextual distance; Translation universals; Translation studies | Issue Date: | 2017 | Publisher: | EUT Edizioni Università di Trieste | Source: | Stefano Ondelli, Paolo Nadalutti, "Distanza intertestuale e lingua fonte: premesse teoriche, compilazione di un corpus e procedure di analisi", in: Giuseppe Palumbo (a cura di), "Testi, corpora, confronti interlinguistici: approcci qualitativi e quantitativi", Trieste, EUT Edizioni Università di Trieste, 2017, pp. 27-42 | Part of: | Testi, corpora, confronti interlinguistici: approcci qualitativi e quantitativi | Abstract: | This chapter illustrates the theoretical background of the implementation of computational linguistic methods to probe the translation universals hypothe-sis. Starting from the assumption that both the translation process and the source language impact the linguistic features of translations, we use Labbé’s method for calculating intertextual distance to check whether it can distinguish trans-lated from non-translated texts and proves successful in grouping together texts translated from the same language within a corpus of translations. In addition to compiling a balanced corpus of newspaper articles (both originally written in Italian and translated from several languages), ad hoc procedures are necessary to offset the impact of different text lengths and contents on intertextual dis-tance values. The selection of text chunks of equal length and different language tokens (grammar words, multi-words etc.), along with POS-tagging procedures to identify additional useful linguistic features, provide a promising approach to evaluate different methods to calculate the intertextual distance between trans-lated and non-translated texts (cosine similarity, machine learning, stylometry). |
Type: | Book | URI: | http://hdl.handle.net/10077/18479 | ISBN: | 978-88-8303-912-6 | eISBN: | 978-88-8303-913-3 | DOI: | 10.13137/978-88-8303-913-3/18479 10.13137/978-88-8303-913-3/18479 |
Rights: | Attribution-NonCommercial-NoDerivatives 4.0 Internazionale |
Appears in Collections: | Testi, corpora, confronti interlinguistici: approcci qualitativi e quantitativi |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Ondelli_Nadalutti_1_Testi_corpora.pdf | 250.45 kB | Adobe PDF | ![]() View/Open |
CORE Recommender
Page view(s)
299
checked on Jan 23, 2021
Download(s)
111
checked on Jan 23, 2021
Google ScholarTM
Check
Altmetric
Altmetric
This item is licensed under a Creative Commons License