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This study compared neutral tone (T0) of Mandarin produced by native speakers and by Cantonese L2 learners, using both acoustic analysis and perceptual experiment. The T0 syllables after four different tones in three word contexts (i.e., isolated, non-focused, and on-focus) were investigated. The perceptual experiment showed that T0 in the L2 group obtained a lower rate of acceptance than in the L1...
This study compared the perceptions of Chinese sentences conveying the attitudinal contrast of praising and blaming by five groups of subjects (Chinese natives, Japanese L2 learners of Mandarin, French L2 learners of Mandarin, Japanese and French subjects without any Mandarin ability). Context-elicited target sentences conveying praising, blaming or neutral attitude were used as stimuli in the listening...
Analyzing and researching microblog text and microblog context, we propose a Chinese microblog's semantic expansion model based on specific context. Firstly, on the basis of analysis of microblog type, microblogs are classified into six categories: information-publish microblogs, journaling microblogs, sharing microblogs, forwarding microblogs, commentary microblogs and interactive microblogs. For...
Semantic relations acquisition is a crucial work in the field of knowledge acquisition. This paper presents a method that acquires semantic relation patterns from large microblog text. It initially analyzes the characteristic of microblog text, and give an algorithm of acquire patterns semi-automatically. Semantic relations are extracted from microblog corpus based on concept recognition and pattern...
In modern software development, software requirements and implementation are not always reconciled. This leads to difficulties for evolution tasks in future. Specifically, for modern context-aware systems, changes in stakeholders' requirements disclose that existing implementation is insufficient to meet the new requirements due to the limitations of the traditional techniques. In this paper, we propose...
It is an important work in natural language processing to measure the semantic similarity between two words. This paper proposes a new method for computing word similarity based on pattern vector space model. Analogous to traditional vector space model in information retrieval, a word is represented as a vector in this paper. Each dimension corresponds to a contextual pattern. The similarity between...
The goal of this work is to highlight the fact that the mobile ambients and a static program analysis algorithm have the promise of providing a strong tool for describing and computing on functions of biological systems. Firstly, a context dependent shape analysis strategy of mobile ambients is developed. Secondly, a Mobile Ambients model of SBP-dependent ABC uptake transporter is presented and its...
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