The purpose of this study was to evaluate whether increased utterance length and grammatical complexity are associated with changes in frequency of systematic speech errors (i.e., phonological processes, or sound changes affecting an entire class of sounds or sound sequence [Edwards & Shriberg, 1983]), and nonsystematic speech errors (i.e., a word or string of words that apparently deviates fro...

Deviation of real speech from grammatical ideals due to disfluency and other speech errors presents potentially serious problems for the language learner. While infants may initially benefit from attending primarily or solely to infant-directed speech, which contains few grammatical errors, older infants may listen more to adult-directed speech. In a first experiment, Post-verbal infants prefer...

We investigate grammatical error detection in spoken language, and present a data-driven method to train a dependency parser to automatically identify and label grammatical errors. This method is agnostic to the label set used, and the only manual annotations needed for training are grammatical error labels. We find that the proposed system is robust to disfluencies, so that a separate stage to...

This article provides description about the grammar checking software developed for detecting the grammatical errors in Punjabi texts and providing suggestions wherever appropriate to rectify those errors. This system utilizes a full-form lexicon for morphology analysis and rule-based systems for part of speech tagging and phrase chunking. The system supported by a set of carefully devised erro...

This article describes how a treebank of ungrammatical sentences can be created from a treebank of well-formed sentences. The treebank creation procedure involves the automatic introduction of frequently occurring grammatical errors into the sentences in an existing treebank, and the minimal transformation of the original analyses in the treebank so that they describe the newly created ill-form...

Our work on author identification and author profiling is based on the question: Can the number and the types of grammatical errors serve as indicators for a specific author or a group of people? In order to detect the grammatical errors we base our approach on the output of the open-source library LanguageTool. In the case of the author identification we transform the problem into a statistica...