Language and Spatial Cognition
Language and Spatial Cognition
Algorithms for Generating Motion Trajectories Described by Prepositions
CA '00 Proceedings of the Computer Animation
Interlingua-based machine translation of spatial expressions
Interlingua-based machine translation of spatial expressions
A connectionist approach to prepositional phrase attachment for real world texts
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
Some properties of preposition and subordinate conjunction attachments
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
Prepositions in applications: A survey and introduction to the special issue
Computational Linguistics
Exploiting semantic role resources for preposition disambiguation
Computational Linguistics
Classifying particle semantics in English verb-particle constructions
MWE '06 Proceedings of the Workshop on Multiword Expressions: Identifying and Exploiting Underlying Properties
Disambiguation of preposition sense using linguistically motivated features
SRWS '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume: Student Research Workshop and Doctoral Consortium
Handling of prepositions in English to Bengali machine translation
Prepositions '06 Proceedings of the Third ACL-SIGSEM Workshop on Prepositions
Simple preposition correspondence: a problem in English to Indian language machine translation
SigSem '07 Proceedings of the Fourth ACL-SIGSEM Workshop on Prepositions
Matxin, an open-source rule-based machine translation system for Basque
Machine Translation
Preposition senses: generalized disambiguation model
CICLing'06 Proceedings of the 7th international conference on Computational Linguistics and Intelligent Text Processing
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This paper proposes two decision trees for determining the meanings of the prepositional uses of over by using the contextual information. It first examines the meanings of the prepositional uses of over and then aims at identifying the contexts for interpreting the meanings. Some contexts are complementary features, and that makes the decision trees simple. The trees have been tested on a corpus, and the results are encouraging.