Sequential Patterns of POS Labels Help to Characterize Language Acquisition
Résumé
In this paper, we try to characterize various steps of the syntax acquisition 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 linguistic 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 variations of proportions of morpho-syntactic labels, which are also clearly visible inside the emerging patterns.
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