DocumentCode
2909986
Title
Issues with the Unergative/Unaccusative Classification of the Intransitive Verbs
Author
Surtani, Nitesh ; Jha, Khushboo ; Paul, Soma
Author_Institution
Language Technol. Res. Center, HIT Hyderabad, Hyderabad, India
fYear
2011
fDate
15-17 Nov. 2011
Firstpage
55
Lastpage
58
Abstract
The paper abandons a strict two-way sub-classification of intransitive verbs into unaccuasative and unergative for Hindi and proposes a distribution plotting of the same in a diffusion chart. The diagnostics tests that Bhatt (2003) applied on Hindi data are ranked for their efficiency of attributing correct sub-class to verbs. The diffusion chart shows that a tripartite classification handles the issue of classification of intransitive verbs in a better manner than the classical binary approach. The tripartite classification is as follows: (1) Verbs that take animate subject and are compatible with adverb of volitionality; (2) Verbs that take animate subject but are not compatible with adverb of volitionality; and (3) Verbs that take inanimate subject. The classification is of immense advantage for various NLP tasks such as machine translation, natural language generation.
Keywords
grammars; natural language processing; pattern classification; text analysis; Hindi; NLP tasks; binary approach; diffusion chart; distribution plotting; intransitive verbs; machine translation; natural language generation; tripartite classification; two-way sub- classiflcation; unaccusative classification; unergative classification; Compounds; Licenses; Pragmatics; Radio access networks; Random access memory; Semantics; Syntactics; Intransitive; Unaccusative; Unergative;
fLanguage
English
Publisher
ieee
Conference_Titel
Asian Language Processing (IALP), 2011 International Conference on
Conference_Location
Penang
Print_ISBN
978-1-4577-1733-8
Type
conf
DOI
10.1109/IALP.2011.54
Filename
6121469
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