The article is devoted to spelling errors of Russian learners in a French-speaking environment. Based on 1,816 errors, the analysis focuses four mechanisms (transposition, insertion, omission, and substitution), influence contextual non-contextual (cognitive, inter- intralinguistic, extralinguistic) factors taken into account for each mechanism question. Despite multidimensional nature involved...

The spellings of 39 profoundly deaf users of cochlear implants, aged 6–12 years, were compared with those of 39 hearing peers. When controlled for age and reading ability, the error rates of the 2 groups were not significantly different. Both groups evinced phonological spelling strategies, performing better on words with more typical sound–spelling correspondences and often making misspellings...

PURPOSE The purpose of this study was to establish a profile of the spelling patterns studied in students from public and private schools and to describe a word spelling task for clinical and educational settings. METHODS Eighty-two fourth grade students belonging to the elementary school of public and private schools in São Paulo, ranging in age from nine to ten years, took part in this stud...

This paper presents a Constraint Grammarbased pedagogical proofing tool for Danish. The system recognizes not only spelling errors, but also grammatical errors in otherwise correctly spelled words, and categorizes errors for WORD-integrated pedagogical comments. Possible spelling corrections are prioritized from context, and grammatical corrections generated by a morphological module. The syste...

Context-sensitive spelling correction is the task of correcting spelling errors which result in valid words. We present work in progress where we adapt established methods from English to a morphologically rich language and conclude that the rich morphology negatively affects performance. However, our system is still good enough to be useful in regular word processing.

This paper describes an XML annotation scheme for English Language Learner (ELL) spelling errors in learner corpora which can be used to create standardized, annotated ELL error corpora for use by researchers who are developing spelling correction tools for ELLs. We also provide an error taxonomy (with examples of each error type) upon which the scheme was based.

Spelling errors in digital documents are often caused by operational and cognitive mistakes, or by the lack of full knowledge about the language of the written documents. Computer-assisted solutions can help to detect and suggest replacements. In this paper, we present a new string distance metric for the Persian language to rank respelling suggestions of a misspelled Persian word by considerin...

This paper presents a system which detects and corrects morpho-syntactic errors in Dutch texts. It includes a spelling corrector and a shift-reduce parser for Augmented Context-free Grammars. The spelling corrector is based on trigram and triphone analysis. The parser is an extension of the well-known Tomita algorithm (Tomita, 1986). The parser interacts with the spelling corrector and handles ...