SIGCUE OUTLOOK Vol. 26 #3 July 1998 Learning Words with Many Texts Chin-Chuan Cheng 1. Introduction This paper shows how we use the Internet to gather a large number of texts to create programs for vocabulary learning. It first presents a cognitive basis for learning words, both English and Chinese. Current comprehensive Chinese dictionaries list over 50,000 characters and unabridged English dictionaries contain more than 400,000 entries, but I will show that the number of linguistic symbols a person can actively handle is somewhere between 4,000 and 7,000. Moreover, words are linked or connected to form a mental semantic network. These points explain why it is possible for a person to learn the essential lexicon of a language. Words are not acquired from dictionaries. They are learned in linguistic and social contexts. We therefore emphasize reading a large amount of texts in order to learn the vocabulary of a language. In learning English as a foreign language, school children and adult students normally do not have many years to acquire the language naturally through social interaction. To overcome such a deficiency, we present a method called "focused extensive reading" or "extensive reading for individual words". The learner reads
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Learning words with many texts
Cheng, Chin-Chuan
Follow ACM SIGCUE Outlook
, Volume 26 (3)
Association for Computing Machinery – Jul 1, 1998
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