Spontaneously produced speech text often includes disfluencies which make it difficult to analyze underlying structure. Successful reconstruction of this text would transform thes...
In this paper, we present an approach to the automatic identification and correction of preposition and determiner errors in nonnative (L2) English writing. We show that models of...
We develop a method for detecting errors in semantic predicate-argument annotation, based on the variation n-gram error detection method. After establishing an appropriate data re...
This paper presents a parsing system for the detection of syntactic errors. It combines a robust partial parser which obtains the main sentence components and a finite-state parse...
In this paper we investigate some properties and algorithms related to a text sparsification technique based on the identification of local maxima in the given string. As the numb...
Pierluigi Crescenzi, Alberto Del Lungo, Roberto Gr...