Sequential Patterns of POS Labels Help to Characterize Language Acquisition
Year: 2014
Type: article
Abstract: . In this paper, we try to characterize various steps of the syntax acqui-sition of their native language by children with emerging sequential patterns of Part Of Speech (POS) labels. To achieve this goal, we first build a set of corpora from the French part of the CHILDES database. Then, we study the linguis-tic utterances of the children of various ages with tools coming from Natural Language Processing (morpho-syntactic labels obtained by supervised machine learning) and sequential Data Mining (emerging patterns among the sequences of morpho-syntactc labels). This work thus illustrates the interest of combining both approaches. We show that the distinct ages can be characterized by vari-ations of proportions of morpho-syntactic labels, which are also clearly visible inside the emerging patterns.
Authors: Isabelle Tellier, Zineb Makhlouf, Yoann Dupont
Language: English
Subfield: Developmental and Educational Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W2396167456