A Study Of Japanese Students' Biased Error Of Monosyllabic Adjective Base On The Corpus

Monosyllabic adjective teaching plays an important role in the teaching of Chinese as a foreign language. Linguistics study more on the ontology of the monosyllabic adjective, but not fully use in the teaching of Chinese as a foreign language, especially build in the corpus's study is less.In this paper, we basic on the Beijing Language University's "HSK dynamic composition corpus", and have observation, recognition, description, interpretation and evaluation on the Japanese students use the monosyllabic adjective. We basic on the biased error of the corpus to analyze and conclude, find the regularity of the biased error, make clear the nature of errors and causes, understand the learner's own language learning disabilities, and find a better ways to learn monosyllabic adjective and targeted teaching, in order to achieve a better result.This paper, we use the corpus statistics and error analysis method, link theory and practice together, indentify the 220 monosyllabic adjective as the scope of the study, and choose the biased error of the monosyllabic adjective corpus from the original corpus to analyze Biased error corpus is divided into two categories -errors in the use of monosyllabic adjective and adjective related error analysis, and have a data statistics, the description of the phenomenon, and summary the rule from the form aspects– grammatical biased error, vocabulary biased error, semantic and pragmatic biased error.The proportion of two categories'errors is similar. Mistakes in the use of monosyllabic adjective biased error account for 48.3% of the total, and adjectives related error account for 51.7% of the total, therefore we can't neglect these in teaching. In the four levels of biased errors, the grammatical error account for 50.6% of the total biased error that is the largest in the biased error, we need to pay more attention. Semantic biased error account for 30%, vocabulary biased error account for 14%, and pragmatic biased error account for 5.4%. Categories also subdivided into various types. Monosyllabic adjective biased error concentrate on certain words, and the article get specific figure of the monosyllabic adjective biased error. This article analyzes the causes of Japanese students learned the monosyllabic adjective, and analyze the causes and discipline the frequency of high and low biased error, we hope have a help on compile of the teaching material, teacher's teaching and foreigner student biased error correct.