TAPoR 3 Discover research tools for studying texts.

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Comparator - HTML (TAPoRware)

This tool compares two documents by comparing the words in each according to user specifications. XML and plain text versions are also available in the TAPoRware toolsets.

This tool’s functionality has been incorporated into Voyant available online at www.voyant-tools.org

Speech Tagger - Plain Text (TAPoRware)

The speech tagger allows you to highlight different parts of a text where each part is identified by a different colour. The tool uses TreeTagger to find the different parts of speech. Note that using the TreeTagger tool is very taxing on the server and may take a long time before results are returned.

MONK (Metadata Offer New Knowledge)

MONK (Metadata Offer New Knowledge) is a digital environment for humanities scholars. It is desgined to assist with the discovery and analysis of patterns within texts, incorporating full text content from corpora such as ECCO, EEBO and Early American Fiction directly into the tool. The MONK Workbench is the primary environment, permitting users to create worksets, perform analytics and save their results. In addition, the MONK workbench can be used in conjunction with the Flameco faceted browser and Zotero.

MorphAdorner

MorphAdorner, now in version 2.0, is a Java command-line program for the adornment of words in a text. At present, available adornments include standard spellings, parts of speech and lemmata, in addition to tokenization, the recognition of sentence boundaries and extracting names and places. Version 2.0 features a separate MorphAdorner Server, an improved integration with MONK's Abbot and improved processing of the Early English Books Online (EEBO), Eighteenth Century Collections Online (ECCO) and Evans Early American Imprint Collection corpori.

NLTK 3.3 (Natural Language Toolkit)

NLTK 2.0 (Natural Language Tooklt) is a free, open source collection of Python modules, linguistic data and documentation for research and development in natural language processing and text analytics, with distributions for Windows, Mac OS X and Linux. It offers a platform for building Python programs to work with human language data, and integrates a guide to programming fundamentals.

WordHoard

WordHoard is a tool for the study of large texts or transcribed speech. It annotates or tags texts by applying morphological, lexical, prosodic, and narratological criteria. Users may apply WordHoard to their own texts, or to the corpora included with the tool. At present, that corpora includes the entire canon of Early Greek epic (original and in translation), Chaucer, Shakespeare and Spencer.

RiTa

RiTa is a free, open-source natural language library for work with generative literature, offered as both a 'core' package of jar files and documentation, and a text-to-speech package. It is designed to be simple and intuitive while still offering flexibility to advanced users via statistical models for tagging, chunking and parsing. RiTa may also be integrated with Processing.

Stanford NLP Group: CoreNLP

Stanford CoreNLP is a free Natural Language Processing tool. It processes English language text and provides the base forms of words, parts of speech, indicates whether they are proper names, normalizes dates, times and numeric quantities, and marks up the structure of sentences. This tool integrates all other Stanford NLP tools for English language processing, including parts-of-speech (POS), the named entitiy recognizer (NER), the parser and the coreference resolution system. An online demo is also available.

Stanford NLP Group: Named Entity Recognizer

Stanford Named Entity Recognizer is a free Java implementation for the recognition of proper names and other nouns and a part of the Stanford Natural Language Processing toolset. It also includes person, location and organizational recognition. This tool can be used with English or German text.

Stanford NLP Group: Part-of-Speech Tagger

Stanford Part-of-Speech Tagger is a free Java implementation for the recognition of parts of speech, and a part of the Stanford Natural Language Processing toolset. It reads text and assigns parts of speech to each word such as noun, verb or adjective. This tool can be used with English, French, Arabic and German text.