We present our correction annotation guidelines to create a manually corrected nonnative (L2) Arabic corpus. We develop our approach by extending an L1 large-scale Arabic corpus and its manual corrections, to include manually corrected non-native Arabic learner essays. Our overarching goal is to use the annotated corpus to develop components for automatic detection and correction of language er...

In this paper, we propose an intelligent aid for text input method in order to provide an easier way for text inputting with the conventional keyboard. We use the character n-gram model and error correction rules to identify the language being typed and to predict the most probable character string without extra keystroke. The character n-gram model is also required only a small amount of memor...

An amendment to this paper has been published and can be accessed via the original article.

Research has been carried out in correcting words in OCR text and mainly surrounds around (1) non word errors (2) isolated word error correction and context dependent word correction. Various kinds of techniques have been developed. This papers surveys various techniques in correcting these errors and determines which techniques are better. General Terms Optical Character Recognition, Natural L...

BACKGROUND Figures are ubiquitous in biomedical full-text articles, and they represent important biomedical knowledge. However, the sheer volume of biomedical publications has made it necessary to develop computational approaches for accessing figures. Therefore, we are developing the Biomedical Figure Search engine (http://figuresearch.askHERMES.org) to allow bioscientists to access figures ef...

This paper presents a method for the automatic detection and correction of malapropism errors found in documents using the WordNet lexical database, a search engine (Google) and a paronyms dictionary. The malapropisms detection is based on the evaluation of the cohesion of the local context using the search engine, while the correction is done using the whole text cohesion evaluated in terms of...

This report describes two experiments in finding errors in optically scanned Swedish without lexicon. First, statistics were used to find unexpectedly frequent trigrams and correction rules were created. Second, Bengt Sigurds model of Swedish phonotax was used to detect words with phonotactically illegal beginning or end. The phonotax did not perform as well as the statictic rules did on their ...

Previous work on automated error recognition and correction of texts written by learners of English as a Second Language has demonstrated experimentally that training classifiers on error-annotated ESL text generally outperforms training on native text alone and that adaptation of error correction models to the native language (L1) of the writer improves performance. Nevertheless, most extant m...

Reading and writing are core competencies of any society. In Germany, international and national comparative studies such as PISA or IGLU have shown that around 25% of German school children do not reach the minimal competence level necessary to function effectively in society by the age of 15. Automized diagnosis and spelling tutoring of children can play an important role in raising their ort...