The present study deals with the impairment of prepositions, a somewhat neglected topic in aphasia research. It is the first to investigate the availability of all types of prepositions (i.e., spatial, temporal, other meaningful, subcategorized, syntactic prepositions, and particles) in a variety of comprehension and production tasks in one anomic aphasic and four Broca’s aphasic patients and h...

This article describes how semantic role resources can be exploited for preposition disambiguation. The main resources include the semantic role annotations provided by the Penn Treebank and FrameNet tagged corpora. The resources also include the assertions contained in the Factotum knowledge base, as well as information from Cyc and Conceptual Graphs. A common inventory is derived from these i...

This paper presents an algorithm for correcting language errors typical of second-language learners. We focus on preposition errors, which are very common among second-language learners but are not addressed well by current commercial grammar correctors and editing aids. The algorithm takes as input a sentence containing a preposition error (and possibly other errors as well), and outputs the c...

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 written by EFL learners, rel...

Despite the rising interest in developing grammatical error detection systems for non-native speakers of English, progress in the field has been hampered by a lack of informative metrics and an inability to directly compare the performance of systems developed by different researchers. In this paper we address these problems by presenting two evaluation methodologies, both based on a novel use ...

Since the introduction of the X-bar principles it is commonly assumed that prepositions are heads of PPs, in the same way as nouns and pronouns are heads of NPs. However, while this is well motivated for a large majority of the pronouns and the prepositions in many languages, there are also exceptions. More specifically, Van Eynde (1999) argues that the reduced or minor pronouns of Dutch—as opp...

This paper presents ongoing work on the detection of preposition errors of non-native speakers of English. Since prepositions account for a substantial proportion of all grammatical errors by ESL (English as a Second Language) learners, developing an NLP application that can reliably detect these types of errors will provide an invaluable learning resource to ESL students. To address this probl...

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...

This paper establishes the term ORPHAN PREFIX for a Slavic prefix that no longer shares a dominant spatial meaning with its cognate preposition. Most Slavic prefixes do share such a dominant spatial meaning with their cognate prepositions, cf., e.g., the Russian prefix vand preposition v, both meaning ‘into.’ Orphan prefixes appear to be an important component of many Slavic aspectual systems. ...

We describe an inventory of semantic relations that are expressed by prepositions. We define these relations by building on the word sense disambiguation task for prepositions and propose a mapping from preposition senses to the relation labels by collapsing semantically related senses across prepositions.