for the performance improvement and higher flexibility in irrigation networks, applications of automatic systems are expanding and on evaluation of their success for achieving the objectives are essential and necessary. considering various equipment, algorithms, and their applications at different levels of irrigation networks, the performance of automatic systems is a function of the performan...

This work presents a system for Automatic Arabic punctuation marks. Existing approaches for automatic punctuation marks do not provide suitable performance for and do not satisfy user interests in Arabic texts. The importance and rising need to automate the correct insertion of punctuation marks in Arabic texts led to a need of specific analysis of the Arabic language to introduce approaches th...

Corporations worldwide have seen a sharply increasing need for cus-tomized client correspondence in recent years. Financial institutions, mail-order companies, legal firms—any corporation that maintains a Customer Service Department—must generate written correspondence that clearly communicates specific, individualized information to clients. Indeed, in a slumping economy, much has been made of...

In this contribution we report on our ongoing work in lexical decomposition for automatic speech recognition (ASR). Lexical decomposition is investigated with a twofold goal: lexical coverage optimization and improved automatic letter-tosound conversion. Whereas morphological decomposition is a widely-studied domain in linguistics, our interest is limited here to identifying and processing the ...

Cyberbullying is becoming a major concern in online environments with troubling consequences. However, most of the technical studies have focused on the detection of cyberbullying through identifying harassing comments rather than preventing the incidents by detecting the bullies. In this work we study the automatic detection of bully users on YouTube. We compare three types of automatic detect...

Coloring only a single letter in the Stroop task can result in a reduction or elimination of Stroop interference. The present experiments were designed to test whether this modulation of Stroop interference occurs at all letter positions. Specifically, we investigated whether Stroop interference was reduced when the colored letter occupied the optimal viewing position (OVP). The experiments sho...

Recently, Stacked Auto-Encoders (SAE) have been successfully used for learning imbalanced datasets. In this paper, for the first time, we propose to use a Neural Network classifier furnished by an SAE structure for detecting the errors made by a strong Automatic Speech Recognition (ASR) system. Error detection on an automatic transcription provided by a ”strong” ASR system, i.e. exhibiting a sm...

Recently, Besner, Stolz, and Boutilier (1997) showed that by coloring a single letter instead of the whole word, Stroop interference is reduced or even eliminated, a result that is at odds with the widely accepted assumption that word recognition is automatic. In a replication of the Besner et al. study, we computed priming effects in addition to the standard Stroop interference. Interference r...

This paper describes an automatic, context-sensitive, word-error correction system based on statistical language modeling (SLM) as applied to optical character recognition (OCR) postprocessing. The system exploits information from multiple sources, including letter n-grams, character confusion probabilities, and word-bigram probabilities. Letter n-grams are used to index the words in the lexico...