Non-Fiction Books:

Ellipsis and wa-marking in Japanese Conversation

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Description

This book investigates the operation of two linguistic mechanisms, ellipsis and wa -marking, in a corpus of colloquial Japanese speech. Its data set is the CallHome Japanese (CHJ) corpus, a collection of transcripts and digitized speech data for 120 telephone conversations between native speakers of Japanese. To make the CHJ data useful for linguistic research, John Fry annotates the original transcripts with a comprehensive set of acoustic, phonetic, syntactic and semantic tags. John Fry demonstrates that Japanese conversation obeys certain principles of argument ellipsis that appear to be language universal: namely, the tendency to omit transitive and human subjects and the tendency to express no more than one argument per clause. He identifies a set of syntactic and semantic factors that correlate significantly with the ellipsis of grammatical particles following a noun phrase. These factors include the grammatical construction type (question, idiom), length of the NP, utterance length, proximity of the NP to the predicate, and the animacy and definiteness of the NP. The animacy and definiteness constrains are of particular interest because these too seem to reflect language-universal principles. Analyzing the CHJ data further, Fry investigates the use and function of the topic-marking particle wa . His study identifies a set of semantic and prosodic properties that tend to distinguish wa from the subject-marking particle ga .

Author Biography:

John Fry received his Ph.D. in Linguistics from Stanford University in 2002, and is currently a consultant at Stanford's Center for the Study of Language and Information (CSLI). His research interests include natural language processing, speech processing, and Japanese semantics and syntax.
Release date NZ
May 16th, 2003
Author
Audiences
  • General (US: Trade)
  • Professional & Vocational
  • Tertiary Education (US: College)
Pages
220
Dimensions
152x229x13
ISBN-13
9780415967648
Product ID
2421281

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