Automatic Readability Classification of Crowd-Sourced Data based on Linguistic and Information-Theoretic Features
Fuente:
Redalyc
Guardado en:
| Autor principal: | |
|---|---|
| Formato: | Artículo científico |
| Lenguaje: | en |
| Publicado: |
Instituto Politécnico Nacional
2013
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
| _version_ | 1876464808781414400 |
|---|---|
| author | Zahurul Islam |
| author_facet | Zahurul Islam |
| contents | Automatic Readability Classification of Crowd-Sourced Data based on Linguistic and Information-Theoretic Features Zahurul Islam Alexander Mehler Computación enthropy Wikipedia Text readability evaluation of features information transmission This paper presents a classifier of text readability based on information-theoretic features. The classifier was developed based on a linguistic approach to readability that explores lexical, syntactic and semantic features. For this evaluation we extracted a corpus of 645 articles from Wikipedia together with their quality judgments. We show that information-theoretic features perform as well as their linguistic counterparts even if we explore several linguistic levels at once. 2013 artículo científico 1405-5546 https://www.redalyc.org/articulo.oa?id=61527437002 en http://www.redalyc.org/revista.oa?id=615 Computación y Sistemas application/pdf Instituto Politécnico Nacional Computación y Sistemas (México) Num.2 Vol.17 |
| format | Artículo científico |
| id | redalyc_61527437002 |
| institution | Redalyc |
| language | en |
| publishDate | 2013 |
| publisher | Instituto Politécnico Nacional |
| spellingShingle | Automatic Readability Classification of Crowd-Sourced Data based on Linguistic and Information-Theoretic Features Zahurul Islam Computación enthropy Wikipedia Text readability evaluation of features information transmission Automatic Readability Classification of Crowd-Sourced Data based on Linguistic and Information-Theoretic Features Zahurul Islam Alexander Mehler Computación enthropy Wikipedia Text readability evaluation of features information transmission This paper presents a classifier of text readability based on information-theoretic features. The classifier was developed based on a linguistic approach to readability that explores lexical, syntactic and semantic features. For this evaluation we extracted a corpus of 645 articles from Wikipedia together with their quality judgments. We show that information-theoretic features perform as well as their linguistic counterparts even if we explore several linguistic levels at once. 2013 artículo científico 1405-5546 https://www.redalyc.org/articulo.oa?id=61527437002 en http://www.redalyc.org/revista.oa?id=615 Computación y Sistemas application/pdf Instituto Politécnico Nacional Computación y Sistemas (México) Num.2 Vol.17 |
| title | Automatic Readability Classification of Crowd-Sourced Data based on Linguistic and Information-Theoretic Features |
| topic | Computación enthropy Wikipedia Text readability evaluation of features information transmission |
| url | https://www.redalyc.org/articulo.oa?id=61527437002 |