Two experiments investigated the locus of the effects of semantic integration (the conceptual relatedness between utterance constituents) on grammatical encoding during language production. In an ordering-error elicitation paradigm, participants produced descriptions of picture stimuli that varied in degree of integration. For both phrase and word ordering errors, integrated stimuli were more e...

We automatically classify verbs into lexical semantic classes, based on distributions of indicators of verb alternations, extracted from a very large annotated corpus. We address a problem which is particularly di cult because the verb classes, although semantically di erent, show similar surface syntactic behavior. Five grammatical features are su cient to reduce error rate by more than 50% ov...

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 paper introduces Alibaba NLP team system on IJCNLP 2017 shared task No. 1 Chinese Grammatical Error Diagnosis (CGED). The task is to diagnose four types of grammatical errors which are redundant words (R), missing words (M), bad word selection (S) and disordered words (W). We treat the task as a sequence tagging problem and design some handcraft features to solve it. Our system is mainly b...

This study addressed the question as to whether grammatical properties of a first language are transferred to a second language. Dutch-English bilinguals classified Dutch words in white print according to their grammatical gender and colored words (i.e. Dutch common and neuter words, and their English translations) according to their color. Both the classifications were made with the same hand ...

Language sample analysis is an important technique used in measuring language development. At present, measures of grammatical complexity such as the Index of Productive Syntax (Scarborough, 1990) are used to measure language development in early childhood. Although these measures depict the overall competence in the usage of language, they do not provide for an analysis of the grammatical mist...

In this paper, we propose that grammar error detection be disambiguated in generating the connected parse(s) of optimal merit for the full input utterance, in overcoming the cheapest error. The detected error(s) are described as violated grammatical constraints in a framework for ModelTheoretic Syntax (MTS). We present a parsing algorithm for MTS, which only relies on a grammar of well-formedne...

Grammatical error correction has been an active research area in the field of Natural Language Processing. In this paper, we integrated four distinct learning-based modules to correct determiner and preposition errors in leaners’ writing. Each module focuses on a particular type of error. Our modules were tested in well-formed data and learners’ writing. The results show that our system achieve...

We propose to investigate the use of grammatical information to build improved statistical language models. Until recently, language models were primarily innuenced by local lexical constraints. Today, language models often utilize longer range lexical information to aid in their predictions. All of these language models ignore grammatical considerations other than those induced by the statisti...

We demonstrate an on-line tool for grammatical error detection for Norwegian with freely chosen inputs, and error-messages informing the user about possible mistakes; the system also generates grammatically correct alternatives for ill-formed input strings. The system is built as an extension to a general-purpose large HPSG grammar of Norwegian, with special ‘mal’-rules identifying a set of 40 ...