Abstract
This corpus-based research focuses on building a corpus of Indonesian children’s storybooks to find the frequent content words in order to identify Indonesian-core vocabulary for teaching English to Indonesian preschool children. The data was gathered from 131 Indo¬nesian children’s storybooks, which resulted in a corpus of 134,320 words. These data were run through a frequency menu in MonoConc Pro, a corpus program. Data analysis was analyzed by selecting the frequent nouns, verbs, adjectives, and adverbs before each of them was lemmatized. The result showed that the children were already exposed to both ordinary and imaginative concepts, antonym in adjective, time reference, and compound nouns. The narrative discourse clearly influenced the kind of verbs the children exposed to
Highlights
There has been a lot of corpus research done in these past years
Corpus study has attracted many researchers due to the real linguistics data that appear in the corpus
I noticed that a corpus can show the most frequent words in a language
Summary
There has been a lot of corpus research done in these past years. The availability of online corpora has greatly facilitated this kind of research. I noticed that a corpus can show the most frequent words in a language Those frequent words in a corpus can contribute to what words are necessary to be taught in a particular genre. As a matter of fact, Robbins and Ehri (1994) pointed out that young children can understand and remember the meaning of new words if their existing vocabulary is already developed. Based on their argument, I am certain that Indonesian preschool children will comprehend English words more if they have already had the concepts of the words in their first language. In accordance with Robbins and Ehri’s (1994) findings, in which kindergarten children’s vocabulary growth is improved due to listening to stories; I chose to examine the words in Indonesian children’s storybooks
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