Tools

Capture

Tesseract

Combined with the Leptonica Image Processing Library Tesseract can read a wide variety of image formats and convert them to text in over 40 languages. This code is a raw OCR engine. It has no output formatting and no UI. It can detect fixed pitch vs proportional text. Nevertheless in 1995 this engine was in the top 3 in terms of character accuracy, and it compiles and runs on both Linux and Windows. Training code is included in the open source release. The core developer on the project is Ray Smith (theraysmith). Thomas Breuel (tmbdev) and Ilya Mezhirov (mezhirov) work on the OCRopus project, for which Tesseract is one of the pluggable OCR engines; OCRopus also provides layout analysis and statistical language modeling. Most of the work on Tesseract is sponsored by Google.

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Uncategorized

Tesseract OCR

Tesseract is a free raw OCR engine originally developed by HP Labs and now maintained by Google. It works with the Leptonica Image Processing Library, and is capable of reading a variety of image formats. It can convert images to text in over 40 languages.

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Analysis

Tesserae

Tesserae is a web-based interface for exploring intertextual parallels. At this stage of the project, it only permits comparison of texts from three curated corpuses, representing selections from canonical Latin, Greek and English literature.

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Visualization

Text 2 Mind Map

Text 2 Mind Map is a web-based tool for mind mapping. Very basic interface and functionality. Requires users to structure information in a linear text outline, which it returns as a diagram.

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Analysis

Text Analysis Markup System (TAMS) Analyzer

TAMS Analyzer is a program that works with TAMS to let you assign ethnographic codes to passages of a text just by selecting the relevant text and double clicking the name of the code on a list. It then allows you to extract, analyze, and save coded information.

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Analysis

Text Analyzer

Free software utility which allows you to find the most frequent phrases and frequencies of words. Non-English language texts are supported. It also counts number of words, characters, sentences and syllables. Also calculates lexical density.

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Text Engineering Software Laboratory

Tesla is a virtual research environment for text engineering - a framework you can use to create experiments in corpus linguistics, and to develop new algorithms for natural language processing. Tesla is a client-server application, which can be used by individual researchers as well as by workgroups. The screenshot below shows the experiment editor of Tesla's Client application.

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Content Analysis

Text Fixer

Text Fixer is a collection of simple online tools among which are: - Random Word Generator: Generate a list of random words. Great tool for brainstorming ideas. - Random Sentence Generator: Create random sentences for creative brainstorming. - Random Number Generator: Generate some random numbers in a specific number range. - Remove Line Breaks: Remove unwanted line breaks from your text. - Random Choice Generator: Let this tool make a random decision for you. - Convert Word to HTML: Automatically convert word contents to HTML code. - Text to HTML: Quickly change plain text into HTML paragraphs. - HTML to Text: Remove HTML tags, leaving only text content. - Alphabetical Order: Alphabetize lists, or other text content with this tool. - Capitalize the First letter of Sentences - HTML Table Generator: Generate the code for a simple HTML table. - Word Counter: Count the number of words in your text. - Convert URLs to HTML Links - Convert CSV Text to HTML Table

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Text Variation Explorer

TVE is an interactive Java tool for exploring the effect of window size on three common linguistic measures: type-token ratio, proportion of hapax legomena, and average word length. In addition, TVE can cluster the text fragments according to a user-given set of words by applying principal component analysis (PCA).

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Visualization

Text Variation Explorer (TVE)

Text Variation Explorer (TVE) is a Java tool for text visualization. TVE enables users to explore the effect of window size on a text's type-token ratio, proportion of hapax legomena and average word length; it can also cluster text fragments based on principal component analysis and has text comparison features. TVE is in beta and is presented 'as is'.

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