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Linking Text Readability and Learner Proficiency Using Linguistic Complexity Feature Vector Distance
Chen, Xiaobin; Meurers, Detmar – Computer Assisted Language Learning, 2019
How can we identify authentic reading material that matches the learner's proficiency and fosters their language development? Traditionally, this involves assigning a one-dimensional label to the text that identifies the grade or proficiency level of the learners that the text is intended for. Such an approach is inadequate given that both the…
Descriptors: Computer Assisted Instruction, Second Language Learning, Language Proficiency, Readability
Esit, Omer – Computer Assisted Language Learning, 2011
This study investigated the effectiveness of an intelligent computer-assisted language learning (ICALL) program on Turkish learners' vocabulary learning. Within the scope of this research, an ICALL application with a morphological analyser (Your Verbal Zone, YVZ) was developed and used in an English language preparatory class to measure its…
Descriptors: Control Groups, Computer Assisted Instruction, Educational Technology, Vocabulary Development
Tokuda, Naoyuki; Chen, Liang – Computer Assisted Language Learning, 2004
As a first step towards implementing a human language teacher, we have developed a new template-based on-line ICALL (intelligent computer assisted language learning) system capable of automatically diagnosing learners' free-format translated inputs and returning error contingent feedback. The system architecture we have adopted allows language…
Descriptors: Sentences, Language Teachers, Feedback, Engines