A network was trained by back propagation to map locative expressions of the form "noun-preposition-noun" to a semantic representation, as in Cosic and Munro (1988). The network's performance was analyzed over several simulations with training sets in both English and German. Translation of prepositions was attempted by presenting a locative expression to a network trained in one language to ge...

PP-attachment has traditionally been tackled as a binary classification task where a preposition is attached to the immediately preceding noun or to the main verb. In this paper, we provide an analysis of PP-attachment in German to show that the assumption that prepositions have only two head candidates does not hold. We propose a realistic PP-attachment data set, in which each preposition has ...

The development of classification models for preposition disambiguation involves the generation of thousands of features describing the context of the preposition. The best modeling technique, supportvector machines, produce weights for each feature, but these weights are difficult to interpret and use for determining the most important features. One technique that can aid in this identificatio...

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...

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...