Design of the ICNALE-Spoken : A New Database for Multi-modal Contrastive Interlanguage Analysis
Shin’ichiro Ishikawa · Institutional Repositories DataBase (IRDB) · 2014
The current paper introduces the principle, design, and development procedure of the ICNALE-Spoken, a new learner speech corpus. The ICNALE-Spoken contains highly controlled spoken interlanguage productions by varied Asian learners as well as the comparable spoken data by English native speakers. Using the ICNALE-Spoken in combination with the ICNALE-Written Oshikawa, 2013), which was developed under the same principle, makes it possible for us to conduct a reliable spoken-written multi-modal contrastive interlanguage analysis. In order to outline the unique features of the ICNALE-Spoken, we will compare it with The IJNDSEI as an archetypal learner speech corpus with paying a special attention to target learners, task design, data size, and data distribution.