BACKGROUND Consumer-generated content, such as postings on social media websites, can serve as an ideal source of information for studying health care from a consumer's perspective. However, consumer-generated content on health care topics often contains spelling errors, which, if not corrected, will be obstacles for downstream computer-based text analysis. OBJECTIVE In this study, we propose...

This paper describes details of NTOU Chinese spelling check system participating in CLP2014 Bakeoff. Confusion sets were expanded by using two language resources, Shuowen and Four-Corner codes. A new method to find spelling errors in legal multi-character words was proposed. Comparison of sentence generation probabilities is the main information for error detection and correction. A rulebased c...

In many language learning scenarios, it is important to anticipate spelling errors. We model the spelling difficulty of words with new features that capture phonetic phenomena and are based on psycholinguistic findings. To train our model, we extract more than 140,000 spelling errors from three learner corpora covering English, German and Italian essays. The evaluation shows that our model pred...

Spelling errors are usually studied in dictations, but teachers report that children with school difficulties often make spelling mistakes when they copy a text too. The present study examines the performance on a text copying task and a text dictation task of two groups of children known for their difficulties in spelling, that is, 22 with symptoms of ADHD and 13 with dyslexia, comparing them ...

Two patients with acquired dysgraphia were reported. The patients' performance in various written and oral spelling tasks converge in support of the hypothesis that they have selective damage, within the spelling system, to the Graphemic Buffer. Although the patients present with comparable patterns of error types, they differ in the distribution of errors as a function of letter position in wo...

Optical Character Recognition (OCR) document. WARNING! Spelling errors might subsist. In order to access to the original document in image form, click on "Original" button on 1st page. Optical Character Recognition (OCR) document. WARNING! Spelling errors might subsist. In order to access to the original document in image form, click on "Original" button on 1st page. Optical Character Recogniti...

The aim of this paper was to analyze the spelling errors children with dyslexia, in order determine whether they have a specific pattern or are simply late acquiring skills. sample included 30 dyslexiaand spelling-level-matched younger children. research conducted area Sarajevo Canton and Tuzla period from March May 2022. results showed that dyslexia make similar patterns as group. obtained sho...

Arabic spelling errors occur in different types of documents, such as handwritten by non experienced users, optical character recognition (OCR) documents and machine translated documents. Many researchers had tried to solve this dilemma but till now there is no a radical solution. This paper proposes a hybrid system based on the confusion matrix and the noisy channel spelling correction model t...

This paper presents the automatic annotation of orthographic properties of German words and spelling errors in texts of German primary school children according to a new multi-layered annotation scheme [1]. The scheme is closely linked to the principles of the German writing system and is supposed to allow the pursuit of new research questions concerning the relationship between spelling errors...

The emergence of the web has necessitated the need to detect and correct noisy consumer-generated texts. Most of the previous studies on English spelling-error extraction collected English spelling errors from web services such as Twitter by using the edit distance or from input logs utilizing crowdsourcing. However, in the former approach, it is not clear which word corresponds to the spelling...