the semantic network of the preposition 'ba' in persian: a cognitive study as one of the widely used prepositions in persian, 'ba' (i.e. with) may also function as an adjective particle or affix. this paper studies various meanings of preposition 'ba' within a cognitive lexical semantics framework. it aims to show that the various meanings of this preposition do not emerge randomly. drawing the...

In the course of The Preposition Project, FrameNet sentences are used as instances to characteize preposition behavior. FrameNet sentences containing prepositional phrases beginning with a given preposition are presented to a lexicographer, whereupon the given preposition is tagged with a sense from a sense inventory derived from the Oxford Dictionary of English. For the 34 prepositions used in...

Prepositions are often considered to have too little semantic content or be too polysemous to warrant a proper semantic description. We illustrate the suitability of distributional similarity methods for analysing preposition semantics by way of an inter-preposition similarity task, and make the claim that any semantic account of preposition semantics must be partially conditioned on valence.

This paper addresses vector space models of prepositions, a notoriously ambiguous word class. We propose a rank-based distance measure to explore the vector-spatial properties of the ambiguous objects, focusing on two research tasks: (i) to distinguish polysemous from monosemous prepositions in vector space; and (ii) to determine salient vector-space features for a classification of preposition...

Prepositions are an important vehicle for indicating semantic roles. Their meanings are difficult to analyze and they are often discarded in processing text. The Preposition Project is designed to provide a comprehensive database of preposition senses suitable for use in natural language processing applications. In the project, prepositions in the FrameNet corpus are disambiguated using a sense...

This paper describes the Nara Institute of Science and Technology (NAIST) error correction system in the Helping Our Own (HOO) 2012 Shared Task. Our system targets preposition and determiner errors with spelling correction as a pre-processing step. The result shows that spelling correction improves the Detection, Correction, and Recognition Fscores for preposition errors. With regard to preposi...