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The purpose of this paper is to evaluate L2 (second language) learners' proficiency objectively. It was examined to estimate language proficiency using 94 statistics extracted from English conversation data on Japanese English learners' groups in educational institutions. To estimate the Japanese learner's English proficiency expressed as Global Rating scores of the Common European Framework of Reference for Languages (CEFR), the statistics were extracted automatically and/or manually, and were classified into 5 subcategories such as range, accuracy, fluency, interaction and coherence.  Considering that each the category included at least 8 items, Recognition-Taguchi method was used for compressing these items and analyzing correlations between them and the Global Rating scores simply. Outputs were calculated in the 5 respective subcategories by the method, and correlations to the scores were analyzed. As the result, one of the outputs, sensitivity βs showed correlations to the scores, and especially the 4 sensitivity βs except for the subcategory accuracy indicated correlations of being more than to 0.650 the scores.  The estimation experiment was carried out using a multiple regression model trained by data set of 135 learners and the 4 sensitivity βs with higher correlations to the CEFR Global Rating scores in cross-validation. The correlation coefficients of 0.900 was shown between predicted proficiency scores and the L2 learners' actual CEFR Global Rating scores. These results confirmed the usability of the 4 sensitivity βs extracted from the total 94 statistics for the objective evaluation of L2 learner's language proficiency.

L2 Learners' Proficiency Evaluation on CEFR Criteria using Recognition-Taguchi Method