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This paper presents a framework for semi-automatic transcription of large-scale historical handwritten documents and proposes a simple user-friendly text extractor tool, TexT for transcription. The proposed approach provides a quick and easy transcription of text using computer assisted interactive technique. The algorithm finds multiple occurrences of the marked text on-the-fly using a word sp...

Automatic Speech Recognition (ASR) systems have improved greatly over the last three decades. However, even with 98% reported accuracy, error correction still consumes a significant portion of user effort in text creation tasks. We report on data collected during a study of three commercially available ASR systems that show how initial users of speech systems tend to fixate on a single strategy...

We present a summary of the first shared task on automatic text correction for Arabic text. The shared task received 18 systems submissions from nine teams in six countries and represented a diversity of approaches. Our report includes an overview of the QALB corpus which was the source of the datasets used for training and evaluation, an overview of participating systems, results of the compet...

Respiratory motion is a significant obstacle to the use of quantitative perfusion in clinical practice. Increasingly complex motion correction algorithms are being developed to correct for respiratory motion. However, the impact of these improvements on the final diagnosis of ischemic heart disease has not been evaluated. The aim of this study was to compare the performance of four automated co...

Web text has been successfully used as training data for many NLP applications. While most previous work accesses web text through search engine hit counts, we created a Web Corpus by downloading web pages to create a topic-diverse collection of 10 billion words of English. We show that for context-sensitive spelling correction the Web Corpus results are better than using a search engine. For t...

This report presents the findings of an investigation to evaluate the conditions for search retrieval successes and failures when using uncorrected OCR for indexing. The purpose of the study was to assess whether low-cost, high-production techniques for text conversion were adequate to produce digital reproductions of consistent quality and usability. We sought to identify attributes of the ori...