The demand for computer-assisted language learning systems that can provide corrective feedback on language learners’ speaking has increased. However, it is not a trivial task to detect grammatical errors in oral conversations because of the unavoidable errors of automatic speech recognition systems. To provide corrective feedback, a novel method to detect grammatical errors in speaking perform...

This paper describes RACAI’s (Research Institute for Artificial Intelligence) hybrid grammatical error correction system. This system was validated during the participation into the CONLL’14 Shared Task on Grammatical Error Correction. We offer an analysis of the types of errors detected and corrected by our system, we present the necessary steps to reproduce our experiment and also the re-

this study aimed to investigate how iranian efl learners performed in producing sentences containing idioms and whether they had any problems in producing such sentences. this query, subsequently, raised the question of whether idioms influenced the participants’ grammaticality judgment on idiom-containing sentences. for this purpose, firstly, the writings of 24 learners were investigated for a...

The basis of the study reported in this article sprang from the assumption that incorporating the use of web search engines such as Google or Yahoo into English as a second language (ESL) writing may be useful for learners in identifying grammatical errors in their texts. The study has measured the effectiveness on reducing the number of grammatical errors by way of a simple method which divide...

Grammar checking and correction comprise of the primary problems in the area of Natural Language Processing (NLP). Traditional approaches fall into two major categories: Rule based and Corpus based. While the former relies heavily on grammar rules the latter approach is statistical in nature. We provide a novel corpus based approach for grammar checking that uses the principles of an Artificial...

Grammatical error correction has been an active research area in the field of Natural Language Processing. This paper describes the grammatical error correction system developed at NTHU in participation of the CoNLL-2013 Shared Task. The system consists of four modules in a pipeline to correct errors related to determiners, prepositions, verb forms and noun number. Although more types of errors...

This article provides description about the grammar checking system developed for detecting various grammatical errors in Punjabi texts. This system utilizes a fullform lexicon for morphological analysis, and applies rule-based approaches for part-of-speech tagging and phrase chunking. The system follows a novel approach of performing agreement checks at phrase and clause levels using the gramm...

Hierarchical structure has been cherished as a grammatical universal. We use experimental methods to show where linear order is also a relevant syntactic relation. An identical methodology and design were used across six research sites on South Slavic languages. Experimental results show that in certain configurations, grammatical production can in fact favor linear order over hierarchical stru...

Semantic substitution errors (e.g., saying "arm" when "leg" is intended) are among the most common types of errors occurring during spontaneous speech. It has been shown that grammatical gender of German target nouns is preserved in the errors (E. Mane, 1999). In 3 experiments, the authors explored different accounts of the grammatical gender preservation effect in German. In all experiments, s...