The corpus of Basque simplified texts (CBST)

Gonzalez-Dios, Itziar; Aranzabe, Maxux; Ilarraza, Arantza Díaz de

doi:10.1007/s10579-017-9407-6

Cited by 9 publications

(7 citation statements)

References 22 publications

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“…Since 2016 such corpora have been created for a few other languages e.g. for French (Grabar and Cardon, 2018) or Basque (Gonzalez-Dios et al, 2018) -Hungarian, however, is not among these languages.…”

Section: Corporamentioning

confidence: 99%

huPWKP: A Hungarian Text Simplification Corpus

Prótár,

Nemeskey

2023

Proceedings of the Conference Recent Advances in Natural Language Processing - Large Language Models for Natural Language Proce

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In this article we introduce huPWKP, the first parallel corpus consisting of Hungarian standard language-simplified sentence pairs. It is the Hungarian translation of PWKP (Zhu et al., 2010), on which we performed some cleaning in order to improve its quality. We evaluated the corpus both with the help of human evaluators and by training a seq2seq model on both the Hungarian and the original (cleaned) English corpus. The Hungarian model performed slightly worse in terms of automatic metrics; however, the English model attains a SARI score close to the state of the art on the official PWKP set. According to the human evaluation, the corpus performs at around 3 on a scale ranging from 1 to 5 in terms of information retention and increase in simplification and around 3.7 in terms of grammaticality.

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Section: Corporamentioning

confidence: 99%

huPWKP: A Hungarian Text Simplification Corpus

Prótár,

Nemeskey

2023

Proceedings of the Conference Recent Advances in Natural Language Processing - Large Language Models for Natural Language Proce

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“…In this case, texts were simplified by a school teacher who aimed at making them easier–to–read for students, especially L2 learners. Similarly, for the Basque language, Gonzalez-Dios et al ( 2017 ) gathered a collection of documents belonging to the scientific popularization domain manually simplified by a court translator according to easy-to-read guidelines (as representative of the “structural” strategy) and by a teacher based on her/his experience (as representative of the “intuitive” strategy).…”

Section: Manual Vs (Semi-)automatic Approach To Corpora Constructionmentioning

confidence: 99%

Linguistically-Based Comparison of Different Approaches to Building Corpora for Text Simplification: A Case Study on Italian

2022

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In this paper, we present an overview of existing parallel corpora for Automatic Text Simplification (ATS) in different languages focusing on the approach adopted for their construction. We make the main distinction between manual and (semi)–automatic approaches in order to investigate in which respect complex and simple texts vary and whether and how the observed modifications may depend on the underlying approach. To this end, we perform a two-level comparison on Italian corpora, since this is the only language, with the exception of English, for which there are large parallel resources derived through the two approaches considered. The first level of comparison accounts for the main types of sentence transformations occurring in the simplification process, the second one examines the results of a linguistic profiling analysis based on Natural Language Processing techniques and carried out on the original and the simple version of the same texts. For both levels of analysis, we chose to focus our discussion mostly on sentence transformations and linguistic characteristics that pertain to the morpho-syntactic and syntactic structure of the sentence.

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“…The first type of typologies aims at identifying the linguistic operations at work during the simplification process. They have been studied for a variety of languages: Spanish (Bott and Saggion, 2014), Italian (Brunato et al, 2014(Brunato et al, , 2022, French (Koptient et al, 2019;Gala et al, 2020), Brazilian Portuguese (Caseli et al, 2009, Basque (Gonzalez-Dios et al, 2018) and English (Amancio and Specia, 2014). While they share some operations, for instance the transition from the verbal passive voice to the active voice, those typologies also have specific categories such as proximization (Bott and Saggion, 2014) -changing a sentence in order to address the reader directly -or specification (Koptient et al, 2019) -keeping a difficult term but adding an explanation next to it.…”

Section: Linguistically Based Operation Descriptionsmentioning

confidence: 99%

Linguistic Corpus Annotation for Automatic Text Simplification Evaluation

Cardon¹,

Bibal²,

Wilkens³

et al. 2022

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing

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Evaluating automatic text simplification (ATS) systems is a difficult task that is either performed by automatic metrics or user-based evaluations. However, from a linguistic point-ofview, it is not always clear on what bases these evaluations operate. In this paper, we propose annotations of the ASSET corpus that can be used to shed more light on ATS evaluation. In addition to contributing with this resource, we show how it can be used to analyze SARI's behavior and to re-evaluate existing ATS systems. We present our insights as a step to improve ATS evaluation protocols in the future.

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The corpus of Basque simplified texts (CBST)

Cited by 9 publications

References 22 publications

huPWKP: A Hungarian Text Simplification Corpus

huPWKP: A Hungarian Text Simplification Corpus

Linguistically-Based Comparison of Different Approaches to Building Corpora for Text Simplification: A Case Study on Italian

Linguistic Corpus Annotation for Automatic Text Simplification Evaluation

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