Open AccessAn n-gram based approach to the automatic classification of schoolchildren’s writing
Author(s) -
Jordi Cicres,
Sheila Queralt
Publication year - 2019
Publication title -
vigo international journal of applied linguistics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.191
H-Index - 11
eISSN - 2660-504X
pISSN - 1697-0381
DOI - 10.35869/vial.v0i16.93
Subject(s) - trigram , bigram , n gram , natural language processing , artificial intelligence , computer science , catalan , punctuation , period (music) , linguistics , psychology , language model , art , philosophy , aesthetics
This article focuses on the analysis of schoolchildren’s writing (throughout the whole primary school period) using sets of morphological labels (n-grams). We analyzed the sets of bigrams and trigrams from a group of literary texts written by Catalan schoolchildren in order to identify which bigrams and trigrams can help discriminate between texts from the three cycles into which the Spanish primary education system is divided: lower cycle (6- and 7-year-olds), middle cycle (8- and 9-year- olds) and upper cycle (10- and 11-year-olds). The results obtained are close to 70% of correct classifications (77.5% bigrams and 68.6% trigrams), making this technique useful for automatic document classification by age.