Proceedings of the 2018 8th International Conference on Social science and Education Research (SSER 2018)

Semantic Analysis of the Wa Tautology in Subordinate Clauses with Minimal Independence Degree

Authors
Yu Liu, Junhuai Zhao
Corresponding Author
Yu Liu
Available Online May 2018.
DOI
10.2991/sser-18.2018.140How to use a DOI?
Keywords
Tautological Expression; Dependent Clauses; Contrastive Expression; Analogical Expression; Category
Abstract

Japanese boasts a great variety of tautological expressions, by which these tautologies fall into three categories indicated by particles, namely, ハ(pronounced wa), ?,?(pronounced ga) and モ(pronounced mo). Some of which carry certain unusual semantic features when these tautologies are employed in clauses. This paper aims at analyzing the ハ(pronounced wa) tautology in subordinate clauses with minimal independence degree, and exploring the semantic properties of this category.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2018 8th International Conference on Social science and Education Research (SSER 2018)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
May 2018
ISBN
978-94-6252-535-1
ISSN
2352-5398
DOI
10.2991/sser-18.2018.140How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Yu Liu
AU  - Junhuai Zhao
PY  - 2018/05
DA  - 2018/05
TI  - Semantic Analysis of the Wa Tautology in Subordinate Clauses with Minimal Independence Degree
BT  - Proceedings of the 2018 8th International Conference on Social science and Education Research (SSER 2018)
PB  - Atlantis Press
SP  - 665
EP  - 671
SN  - 2352-5398
UR  - https://doi.org/10.2991/sser-18.2018.140
DO  - 10.2991/sser-18.2018.140
ID  - Liu2018/05
ER  -