We define sentence generalization and generalization diagrams as a special sort of conceptual graphs which can be constructed automatically from syntactic parse trees and support semantic classification task. Similarity measure between syntactic parse trees is developed as a generalization operation on the lists of sub-trees of these trees. The diagrams are representation of mapping between the...

This study provides evidence for implicit learning in syntactic comprehension. By reanalyzing data from a syntactic priming experiment (Thothathiri & Snedeker, 2008), we find that the error signal associated with a syntactic prime influences comprehenders' subsequent syntactic expectations. This follows directly from error-based implicit learning accounts of syntactic priming, but it is unexpec...

In recent years, there has been a considerable amount of interest in using Natural Language Processing in Information Retrieval research, with specific implementations varying from the word-level morphological analysis to syntactic parsing to conceptual-level semantic analysis. In particular, different degrees of phrase-level syntactic information have been incorporated in information retrieval...

The present study investigated the effect of different types of text simplification (i.e., reducing the lexical and syntactic complexity of texts) on reading comprehension of English as a Foreign Language learners (EFL). Sixty female intermediate EFL learners from three intact classes in Tabarestan Language Institute in Tehran participated in the study. The intact classes were assigned to three...

The term Lexical Functional Grammar (LFG) first appeared in print in the 1982 volume edited by Joan Bresnan: The Mental Representation of Grammatical Relations, the culmination of many years of research. LFG differs from both transformational grammar and relational grammar in assuming a single level of syntactic structure. LFG rejects syntactic movement of constituents as the mechanism by which...

Most traditional information extraction approaches are generative models that assume events exist in text in certain patterns and these patterns can be regenerated in various ways. These assumptions limited the syntactic clues being considered for finding an event and confined these approaches to a particular syntactic level. This paper presents a discriminative framework based on kernel SVMs t...

During reading we have to process the syntactic structure of the sentences in front of us. Thus, if we process sentences in two different languages, for example German and English, do we access and use the same syntactic information for both languages if the structures are similar? In this study we show that on the neural level sentences in the first and in the second language (L1 and L2) are p...