Background: The Institute of Medicine has identified patient safety as a key goal for health care in the United States. Detecting vaccine adverse events is an important public health activity that contributes to patient safety. Reports about adverse events following immunization (AEFI) from surveillance systems contain free-text components that can be analyzed using natural language processing....

The purpose of this study was to explore error correction strategies students’ writing used by English teachers at first grade students Senior High School in Pekanbaru. There were three questions contained study. Firstly, what are that correcting student’s writing. Secondly, how did implement the corection strategies. Thirdly, factors influenced implementation This qualitative descriptive resea...

BACKGROUND The Institute of Medicine has identified patient safety as a key goal for health care in the United States. Detecting vaccine adverse events is an important public health activity that contributes to patient safety. Reports about adverse events following immunization (AEFI) from surveillance systems contain free-text components that can be analyzed using natural language processing. ...

In this chapter we introduce our task: communicating a digital message without error (or with as few errors as possible) despite an imperfect communications medium. Figure 1.1 shows a typical communications system. In this text we will assume that our source is producing binary data, but it could equally be an analog source followed by analog-to-digital conversion. Through the early 1940s, engi...

With the advent of digital optical scanners, a lot of paper-based books, textbooks, magazines, articles, and documents are being transformed into an electronic version that can be manipulated by a computer. For this purpose, OCR, short for Optical Character Recognition was developed to translate scanned graphical text into editable computer text. Unfortunately, OCR is still imperfect as it occa...

With the advent of digital optical scanners, a lot of paper-based books, textbooks, magazines, articles, and documents are being transformed into an electronic version that can be manipulated by a computer. For this purpose, OCR, short for Optical Character Recognition was developed to translate scanned graphical text into editable computer text. Unfortunately, OCR is still imperfect as it occa...

A public dataset, with a variety of properties suitable for sentiment analysis [1], event prediction, trend detection and other text mining applications, is needed in order to be able to successfully perform analysis studies. The vast majority of data on social media is text-based and it is not possible to directly apply machine learning processes into these raw data, since several different pr...

The study presented here relies on the integrated use of different kinds of knowledge in order to improve first-guess accuracy in non-word context-sensitive correction for general unrestricted texts. State of the art spelling correction systems, e.g. ispell, apart from detecting spelling errors, also assist the user by offering a set of candidate corrections that are close to the misspelled wor...

This paper presents the system developed by Elhuyar for the TweetNorm evaluation campaign which consists of normalizing Spanish tweets to standard language. The normalization covers only the correction of certain Out Of Vocabulary (OOV) words, previously identified by the organizers. The developed system follows a two step strategy. First, candidates for each OOV word are generated by means of ...

Spelling correction is an important component of any system for processing text. Agglutinative languages such as Turkish or Finnish, differ from languages like English in the way lexical forms are generated. Typical nominal or a verbal root may generate thousands (or even millions) of valid forms which never appear in the dictionary. For instance, we can give the following (rather exaggerated) ...