Computational models have shown that purely statistical knowledge about words' linguistic contexts is sufficient to learn many properties of words, including syntactic and semantic category. For example, models can infer that "postman" and "mailman" are semantically similar because they have quantitatively similar patterns of…

This academic article is aiming at creating a reading comprehension lesson with a new paradigm called the P3C2R+GIRD model developed by a 9-year-experience author in teaching English reading skill who always found that one of the problems of EFL students in learning English language is the lack of reading comprehension which is an important skill…

Research Findings: Multitiered instructional frameworks are becoming a recommended approach for enhancing prevention and intervention efforts targeting early literacy and language skills. However, few studies to date have studied the feasibility of tiered oral language interventions before kindergarten; therefore, this pilot study explored the…

Comprehending a second language is a complex process that occurs with a few external signs along the way. Out of recent research has come a growing understanding that comprehension is not just understanding words, sentences, or even texts, but involves building a model within the mind of the comprehender (Hammadou, 1991). This paper aims at…

Selectively reviews influences on young children's word learning. Analyzes difficulties with the "constraint" concept in examining word learning. Concludes that the effect of so-called constraints cannot be separated from a wide range of cognitive and contextual influences on children's inferences about novel word meanings. Offers…

This study examines the use of strategies and knowledge sources in L2 lexical inferencing and their relationship with inferential success. Data consist of introspective and retrospective think-aloud protocols of 21 intermediate ESL learners who attempted to infer new word meanings from context. Analysis reveals that (a) overall, the rate of…