Optical character recognition (OCR) is one of the most popular techniques used for
converting printed documents into machine-readable ones. While OCR engines can do well …

Automatic spelling correction has been receiving sustained research attention. Although
each article contains a brief introduction to the topic, there is a lack of work that would …

Use of test collections and evaluation measures to assess the effectiveness of information
retrieval systems has its origins in work dating back to the early 1950s. Across the nearly 60 …

This paper describes work within the NIST Text REtrieval Conference (TREC) over the last
three years in designing and implementing evaluations of Spoken Document Retrieval …

Machine transliteration is the process of automatically transforming the script of a word from
a source language to a target language, while preserving pronunciation. The development …

We present ir-measures, a new tool that makes it convenient to calculate a diverse set of
evaluation measures used in information retrieval. Rather than implementing its own …

In this article, we introduce a new information system evaluation method and report on its
application to a collaborative information seeking system, AntWorld. The key innovation of …

In this article, we show how a set of natural language processing (NLP) tools can be
combined to improve the processing of clinical records. The study concentrates on …

Optical character recognition (OCR) is typically used to extract the textual contents of
scanned texts. The output of OCR can be noisy, especially when the quality of the scanned …

A significant amount of the textual content available on the Web is stored in PDF files. These
files are typically converted into plain text before they can be processed by information …