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The main purposes of this article are to provide an overview of a research project on a longitudinal learner spoken corpus and to share procedures related to the transcription of learners' utterances from audio files using automated speech recognition (ASR) technology (IBM Watson Speech-to-text). The data of the corpus were collected twice or thrice a year for three consecutive years from 2016, creating eight data collection points altogether.They were gathered from 120 secondary school students who had been learning English in an English as a Foreign Language context for three years. The students were asked to take a monologue speaking test, the Telephone Standard Speaking Test, consisting of various tasks. The overall discussion of the article focuses on the details of this project and highlights how a methodological approach of combining electronic learner language data and ASR technology is useful in constructing learner spoken corpora.

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This study present a new gait analysis method by using tri − axes acceleration sensor attached at thejoint ofankle ． The final purpose ofthis study is to centribute the design of pedestrian space in a concept of universal design ． This paper firstly constructs a portable gait characteristic measurement system and applies one − way analysis of variance ( ANOVA )and Prjncipal component analysis ( PCA ) method to tri −axes acceleration data ． Some of individual trends could be evaluated by the mentioned statistical methods ， however more elaborate analysis based on physical science and kinesiology will clarify the result that can assist the design ofacomfortable pedestrian space ．