This paper presents a model for representing the proficiency of users in a CALL system by recording their performance on specific grammatical features. The model will be used both to select accurate interpretations of user-written sentences and to focus system-delivered instruction on topics at the frontier of the learner’s competence.

The study examines the grammatical, discourse, and productive competence of first-year ESL students enrolled in College Arts Sciences at Carig Campus Cagayan State University second semester academic year 2021. It looked specifically respondent profile factors like sex, parents` highest level education, type high school they graduated from, ethnicity, media exposure that may help explain differ...

Two experiments using online speech processing measures with 18- to 36-month-olds extended research by Gerken & McIntosh (1993) showing that young children's comprehension is disrupted when the grammatical determiner in a noun phrase is replaced with a nonce determiner (the car vs. po car). In Expt. 1, 18-month-olds were slower and less accurate to identify familiar nouns on nonce-article than ...

Researchers have long noted that children's grammatical morphemes are variably produced, raising questions about when and how grammatical competence is acquired. This study examined the spontaneous production of determiners by two French-speaking children aged 1;5-2;5. It found that determiners were produced earlier with monosyllabic words, and later with disyllabic and trisyllabic words. This ...

Language sample analysis is an important technique used in measuring language development. At present, measures of grammatical complexity such as the Index of Productive Syntax (Scarborough, 1990) are used to measure language development in early childhood. Although these measures depict the overall competence in the usage of language, they do not provide for an analysis of the grammatical mist...

The paper describes the application of hybrid probabilistic neural networks for corpus analysis which consists of intelligent semanticbased methods of analysis and recognition of word clusters and their meaning. The task of analyzing a corpus of academic articles was resolved with hybrid probabilistic neural networks and developed word clusters. The created prototypes of word clusters provide t...

We present empirical data showing that the relative frequency with which a verb normally appears in a syntactic construction predicts young children’s ability to remember and repeat sentences instantiating that construction. Children aged 2;10–5;8 years were asked to repeat grammatical and ungrammatical sentential complement sentences (e.g., ‘I think+ S’). The sentences contained complement-tak...