Abstract
Error analysis and interlanguage are two cores in second language acquisition research. Researchers have conducted studies and established corpora from various perspectives based on Big Data. However, most of the existing interlanguage corpora provide no feedback for students, which resulted in the barrier of improving self-study efficiency. Additionally, interlanguage systems are influenced by nationalities, while there is a vacancy on the construction of divisional interlanguage corpora. Based on previous studies and error analysis of BNU-Cardiff Chinese College students, this study proposes an idea and model of “Parallel Contrast Corpus of Grammatical Errors” for native English speakers in Chinese learning.
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