Emi Izumi

发表

A Multi-model SVR Approach to Estimating the CEFR Proficiency Level of Grammar Item Features

Hiroaki Ogata, Sachio Hirokawa, Brendan Flanagan, 2017, 2017 6th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI).

The NICT JLE Corpus Exploiting the language learners' speech database for research and education

Kiyotaka Uchimoto, Emi Izumi, Hitoshi Isahara, 2004 .

Measuring Intelligibility of Japanese Learner English

Hitoshi Isahara, Kiyotaka Uchimoto, Emi Izumi, 2006, FinTAL.

Investigation into Language Learners' Acquisition Order Based on an Error Analysis of a Learner Corpus

Emi Izumi, Hitoshi Isahara, H. Isahara, 2004 .

The standard speaking test corpus: A 1 million - word spoken corpus of japanese learners of english

Takashi Kaneko, Emi Izumi, Hitoshi Isahara, 2001 .

Automatic extraction of diverse expressions from learner corpus and its application to the paraphrasing strategy teaching

Emi Izumi, Hitoshi Isahara, Koyotaka Uchimoto, 2005 .

The Overview of the SST Speech Corpus of Japanese Learner English and Evaluation Through the Experiment on Automatic Detection of Learners' Errors

Hitoshi Isahara, Kiyotaka Uchimoto, Emi Izumi, 2004, LREC.

Error Annotation for Learner English

Hitoshi Isahara, Kiyotaka Uchimoto, Emi Izumi, 2006 .

Automatic Error Detection in the Japanese Learners’ English Spoken Data

Hitoshi Isahara, Thepchai Supnithi, Kiyotaka Uchimoto, 2003, ACL.

Error Annotation for Corpus of Japanese Learner English

Hitoshi Isahara, Kiyotaka Uchimoto, Emi Izumi, 2005, IJCNLP.

Classification of Speaking Proficiency Level by Machine Learning and Feature Selection

Sachio Hirokawa, Brendan Flanagan, Emiko Kaneko, 2016, SETE@ICWL.

Investigation into Japanese learners' acquisition order of major grammatical morphemes using error-tagged learner corpus

Emi Izumi, Hitoshi Isahara, Koyotaka Uchimoto, 2005 .