Some students with intellectual disabilities require explicit instruction of language skills, including preposition use; however, little is known about effective ways to teach preposition use to this population. This study examined direct instruction (DI) to teach students to use and respond to prepositions. Results indicated that DI was an effective way to teach prepositions. Limitations and d...

This paper describes a maxent-based preposition sense disambiguation system entry to the preposition sense disambiguation task of the SemEval 2007. This system uses a wide variety of semantic and syntactic features to perform the disambiguation task and achieves a precision of 69.3% over the test data.

In this paper I present the prepositional system of Persian. I show that Persian prepositions can be divided into three classes (Class 1, Class 2a and Class 2b) which exhibit distinct syntactic behavior. Then I examine the question of the categorial status of Class 2 prepositions and demonstrate that they are not to be regarded as nouns. Finally I present the extended PP projection of Persian s...

This paper presents research on building a model of grammatical error correction, for preposition errors in particular, in English text produced by language learners. Unlike most previous work which trains a statistical classifier exclusively on well-formed text written by native speakers, we train a classifier on a large-scale, error-tagged corpus of English essays, relying on contextual and g...

This paper proposes a machine-learning based approach to predict accurately, given a syntactic and semantic context, which preposition is most likely to occur in that context. Each occurrence of a preposition in an English corpus has its context represented by a vector containing 307 features. The vectors are processed by a voted perceptron algorithm to learn associations between contexts and p...