Named after an Old English phrase, WordHoard blends together the study of literary texts with the "insights and techniques of corpus linguistics". WordHoard facilitates the annotation of texts according to morphological, lexical, prosodic, and narratological criteria so they are ready for computational analysis . The greater the depth of annotation, the more supportive WordHoard is for finely grained and specific inquires. The aim of WordHoard to is reveal "new kinds of historical, literary, or broadly cultural analysis" by treating literary texts as linguistic corpora.
WordSmith Tools is a commercial integrated suite of programs designed to analyze word behaviour in a text. It can be used to generate a list of all words or word clusters, concord, find keywords and more. This tool is recommended for publishers, language teachers and students, and language researchers. [Credit to TAPoR for this exceptional annotation]
Concordance is a commercial text analysis tool that was originally designed to facilitate work in the humanities. The aim of Concordance is to assist scholars in the close and in-depth analysis of texts or languages. This flexible and powerful concordance program allows users to analyze electronic text, make words lists and full concordances, count word frequencies, find keywords and phrases, and discover stylistic writing traits.
Originally launched in the 1970s, CLOC is a freely downloadable program that allows users to collocate a given word. CLOC organizes and categorizes words that appear in close proximity to the user's chosen vocabulary. CLOC is also able produce word lists, and full concordances of words and phrases.
TopoText was designed at the American University of Beirut (AUB) by an MA student in English, Randa El Khatib, under the supervision of David Wrisley, and was developed with the AUB computer science department. The open source tool creates maps and word clouds related to places. After uploading a novel or other source file in plain text, the program automatically conducts NER-tagging (named-entity-recognition) to identify all places mentioned within the source, highlighting them in a concordance tool for close reading and micro analysis. A map of all places is then automatically created via Google Maps Engine. There is also a facetted search by POS-tagging (noun, verbs, adjectives or adverbs). A word cloud can be generated for a specific place mentioned in a specific context, entailing a micro-analytical approach, or the user can generate a global word cloud visualizing the most frequent words associated with a specific place in its uses across the entire source text.