2021
DOI: 10.48550/arxiv.2109.04870
|View full text |Cite
Preprint
|
Sign up to set email alerts
|

MultiAzterTest: a Multilingual Analyzer on Multiple Levels of Language for Readability Assessment

Kepa Bengoetxea,
Itziar Gonzalez-Dios

Abstract: Readability assessment is the task of determining how difficult or easy a text is or which level/grade it has. Traditionally, language dependent readability formula have been used, but these formulae take few text characteristics into account. However, Natural Language Processing (NLP) tools that assess the complexity of texts are able to measure more different features and can be adapted to different languages. In this paper, we present the MultiAzterTest tool: (i) an open source NLP tool which analyzes texts… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
3
0

Year Published

2022
2022
2023
2023

Publication Types

Select...
2
2

Relationship

1
3

Authors

Journals

citations
Cited by 4 publications
(3 citation statements)
references
References 26 publications
0
3
0
Order By: Relevance
“…-Ihardetsi: a Question-Answering system 47 for the area of Science and Technology 48 . -MultiAzterTest: an open source NLP tool which analyses texts on more than 125 linguistic and stylistic features for English, Spanish and Basque 49 and assesses the complexity level (readability) 50 .…”
Section: End User Nlp Products For Basquementioning
confidence: 99%
“…-Ihardetsi: a Question-Answering system 47 for the area of Science and Technology 48 . -MultiAzterTest: an open source NLP tool which analyses texts on more than 125 linguistic and stylistic features for English, Spanish and Basque 49 and assesses the complexity level (readability) 50 .…”
Section: End User Nlp Products For Basquementioning
confidence: 99%
“…to base our complexity evaluation on recent evidence on sentence and text processing complexity, and thus we have decided to follow the metrics provided by the LeULi model (Gutiérrez-Fandiño, 2022). For the automatic measurement of complexity metrics, we have employed MultiAzterTest (Bengoetxea and Gonzalez-Dios, 2021), an opensource multilingual text analysis tool which examines more than 130 features at various linguistic levels. To calculate word frequencies we have used Python's wordfreq package (Speer et al, 2018).…”
Section: Complexity Assessment Of Irekialf_esmentioning
confidence: 99%
“…Others have implemented tools that extract readability indices (e.g. lexical diversity, word information, syntactic complexity) and used them as features to train standard machine learning classifiers to estimate a text's readability (Quispesaravia et al, 2016;López-Anguita et al, 2018;Bengoetxea and Gonzalez-Dios, 2021).…”
Section: Introductionmentioning
confidence: 99%