Reading Skill Test to Diagnose Basic Language Skills in Comparison to Machines

• Noriko Arai, National Institute of Informatics, Chiyoda-ku, Tokyo, Japan
• Naoya Todo, NIAD-QE, Kodaira, Tokyo, Japan
• Teiko Arai, University of Tokyo, Bunkyo-ku, Tokyo, Japan
• Kyosuke Bunji, University of Tokyo, Bunkyo-ku, Tokyo, Japan
• Shingo Sugawara, Hosei University, Chiyoda-ku, Tokyo, Japan
• Miwa Inuzuka, Taisho University, Toshimaku, Tokyo, Japan
• Takuya Matsuzaki, Nagoya University, Nagoya, Aichi, Japan
• Koken Ozaki, University of Tsukuba, Bunkyo-ku, Tokyo, Japan

Abstract

A reading skill test to diagnose basic language skills is introduced. The test is designed to measure six component skills relevant to reading in comparison with those of state-of-the-art natural language processing technologies. The results of the first large-scale experiments using the test are reported. Surprisingly, almost half of Japanese junior high school students do no better than machines in dependency analysis. More than half of 7th grade students do no better than making random choices on questions involving inferences and definition understanding.

• The Paper: Reading Skill Test to Diagnose Basic Language Skills in Comparison to Machines

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