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Corpora And NLP for Digital Learning of English


The project uses various corpora-including a Chinese-English corpus, Sinorama, and various natural language processing (NLP) tools to construct advanced English learning tasks for intermediate learners in Taiwan such as college freshman students or those with a similar English proficiency level. It is thus named, Corpora And NLP for Digital Learning of English (CANDLE). The NLP tools used in CANDLE include:

▪ Monolingual, Bilingual, Speech and Learner Corpora
▪ Part of Speech Tagging, Chunking and Parsing
▪ Bilingual Concordance, Semantic concordance and WordNet
▪ Text-to-Speech Server
▪ Phrase/Collocation Translator
▪ Automatic Generation of CALL activities /Automatic Evaluation/Grader of Translation Quality Based on BLEU.

The project is unique because it adopts a unique approach in Taiwan and internationally by using the Sinorama bilingual corpus and building on learners' first language background knowledge to empower learners with culture-based materials. Both first language and its culture provide a scaffold for learners to use while learning the new language. The project aims at various types of English learning activities by emphasizing structural knowledge, and complex problem solving learning: reading, writing, listening, speaking, and translation. Its major features include e-practice that adapts to learners' levels, automatically assessing/monitoring learner's progress, and profiling of learners' preferences.

If you have any problems about how to use this website for teaching, welcome to contact to Prof. Yuli Yeh :
ylyeh@alumni.nthu.edu.tw