In this paper, we focus on the problems associated with error correction of automatic speech recognition (ASR) based on confusion networks. The problems discussed are the availability of corpus in terms of calculating the semantic score and performance degradation for error correction usingN -gram due to the null transitions in the confusion networks. In attempt to solve these problems, first, ...

Separation of the text regions from background texture and graphics is an important step of any optical character recognition system for the images containing both texts and graphics. In this paper, we have presented a novel text/graphics separation technique and a method for skew correction of text regions extracted from business card images captured with a cell-phone camera. At first, the bac...

English as a Second Language (ESL) learners’ writings contain various grammatical errors. Previous research on automatic error correction for ESL learners’ grammatical errors deals with restricted types of learners’ errors. Some types of errors can be corrected by rules using heuristics, while others are difficult to correct without statistical models using native corpora and/or learner corpora...

Spoken human-machine dialogs are prone to communication failures due to imperfect speech recognition and understanding. In order to recover from these failures, users typically engage in error correction subdialogs. Lengthy error correction subdialogs should be avoided since they increase the overall task completion time and decrease user satisfaction. This study analyzes a large corpus of huma...

Different types of OCR errors often occur in texts due to the low quality scanned document images or limitations software. In this paper, we propose a novel unsupervised approach for error correction. Correction candidates are generated and explored their neighborhoods using correction character edits controlled by an adapted hill-climbing algorithm. characters extracted from only original grou...

chin-nameh has been edited and annotated recently. there are many persian words in this book which have undergone semantic transformation in hindi. without knowing their new meanings, one can hardly, if ever, understand the text. as there is no dictionary defining such words, the researcher is obliged to refer to other sources for correction and annotation to find the words here and there. the ...

J. Echanobe Dpto. Matemática e Informática Univ. Pública de Navarra Campus de Arrosad́ıa 31006 Pamplona, Spain [email protected] J. R. Garitagoitia Dpto. Matemática e Informática Univ. Pública de Navarra Campus de Arrosad́ıa 31006 Pamplona, Spain [email protected] J. R. González de Mend́ıvil Dpto. Automática y Computación Univ. Pública de Navarra Campus de Arrosad́ıa 31006 Pamplona, Spain mend...

Automatyczna korekta tekstów stanowi ważny problem z punktu widzenia dzisiejszych procesorów i edytorów tekstów. W tym artykule został przedstawiony innowacyjny algorytm służący do automatyzacji kontekstowej korekty tekstów z wykorzystaniem Grafu Przyzwyczajeń Lingwistycznych (LHG), który również opisano w tym artykule. W tym celu zbudowano specjalistycznego pająka internetowego przeszukującego...