byu.edu - BNC
Brigham Young University
BNC - British National Corpus

The British National Corpus (BNC) was originally created by Oxford University press in the 1980s - early 1990s, and it contains 100 million words of text texts from a wide range of genres (e.g. spoken, fiction, magazines, newspapers, and academic).

The BNC is related to many other corpora of English that we have created, which offer unparalleled insight into variation in English.

Click on any of the links in the search form on the search page for context-sensitive help, and to see the range of queries that the corpus offers. You might pay special attention to the comparisons between genres and the (new) virtual corpora, which allow you to create personalized collections of texts related to a particular area of interest.

Five minute tour

byu.edu
BYU-BNC
British National Corpus
100 MILLION WORDS, UK, 1980s-1993

There are a wide range of additional resources that are based on the BYU corpora:

Full-text

Download 440 million words of full-text data for COCA (190,000 texts), or 1.8 billion words for GloWbE (1,800,000 texts). With this data, you will have the texts from the corpora on your own computer, rather than having to use the web interface. The data comes in three formats: tables for relational databases, word/lemma/PoS (vertical format), or text (linear format).

Word and Phrase (analyze texts)

Enter entire texts and see detailed frequency information on the words in the text, and create word lists based on your text. Click through the words to see detailed information on any word. Highlight phrases in your text and have it search for related phrases in COCA.

Word and Phrase (frequency lists)

Search and browse the most complete frequency dictionary of English. See detailed information (all on one page) -- definition, frequency by genre, collocates (nearby words), concordance lines, synonyms, and Wordnet-related words, all with useful links from one resource to another.

Collocates

Download lists with the top 200-300 collocates (nearby words) for 60,000 different lemmas -- 4,300,000 node/collocate pairs in all.

N-grams

Download free lists containing the top 1,000,000 2-grams (two word sequences), 3-grams, 4-grams, and 5-grams in COCA. There are also other lists that contain the frequency of all 2, 3, and 4-grams (up to 155 million rows of data).

Academic vocabulary

Download free lists containing "core" academic words in 120 million words of COCA-Academic texts (including grouping by word families), as well as the top 20,000 words overall in COCA-Academic. See Applied Linguistics article, or compare to the Academic Word List (Coxhead, 2000).

Word and Phrase (academic)

Similar to the two Word and Phrase resources below, but limited strictly to the 120 million words of academic texts in COCA. Get detailed information on words and phrases, frequency by sub-genre (e.g. Law, Medicine, Science, Business, Humanities), and concordances and collocates in just the academic text. Also, analyze entire academic texts.

Related corpora

Besides the 450 million words of American English from 1990-2012 in COCA, you can also use COHA to look at the last 200 years of American English, the BNC to look at British English, or our version of Google Books to look at 155 billion words of data.

cornell - atlas

Database (W3)

DELPHION

globalwordnet.org
The Global WordNet Association
WordNets in other languages

• To establish distribution facilities for the dissemination of the Association and Association publications and information materials:
• To promote cooperation and information exchange among related professional and technical societies that build or use wordnets.
• To provide information on wordnets to the general public.
• To promote the standardization of the specification of wordnets for all languages in the world, including:
• the standardization of the Inter-Lingual-Index for inter-linking the wordnets of different languages, as a universal index of meaning
• the development of a common representation for wordnet data
• To promote the development of sense-tagged corpora in all the linked languages.
• To promote sharing and transferring of data, software and specifications across wordnet builders for different languages
• To promote the development of guidelines and methodologies for building wordnets in new languages
• To promote the development of explicit criteria and definitions for verifying the relations in any language
• To promote the development of consistency checking, comparison and evaluation modules
• To promote research into the psychological adequacy of models of the mental lexicon
• The Global WordNet Association (GWA) builds on the results of Princeton WordNet and EuroWordNet.

hyperdic.net
WordNet Web-Oberfläche

hyperdictionary.com
Dictionary
English Dictionary
WordNet Web-Oberfläche

ibdb - Internet Broadway Database

nasa - Satelliten-Datenbank

princeton.edu
Princeton University
Cognitive Science Laboratory
Lexical Database for the English Language
Wordnet

• Fellbaum 2011 Klassifikation des Verblexikons in WordNet und Abgleichung mit FrameNet

About WordNet

WordNet® is a large lexical database of English. Nouns, verbs, adjectives and adverbs are grouped into sets of cognitive synonyms (synsets), each expressing a distinct concept. Synsets are interlinked by means of conceptual-semantic and lexical relations. The resulting network of meaningfully related words and concepts can be navigated with the browser. WordNet is also freely and publicly available for download. WordNet's structure makes it a useful tool for computational linguistics and natural language processing.

WordNet superficially resembles a thesaurus, in that it groups words together based on their meanings. However, there are some important distinctions. First, WordNet interlinks not just word forms—strings of letters—but specific senses of words. As a result, words that are found in close proximity to one another in the network are semantically disambiguated. Second, WordNet labels the semantic relations among words, whereas the groupings of words in a thesaurus does not follow any explicit pattern other than meaning similarity.
...

• WordNet removed the word TEFLON from the dictionary Ronald Butters
• WordNet removed the word TEFLON from the dictionary Victor Steinbok
• WordNet removed the word TEFLON from the dictionary Tom Zurinskas
• WordNet removed the word TEFLON from the dictionary Joel S. Berson

• WordNet and Google Randy Alexander
• WordNet and Google Garson O'Toole

• WordNet Bethany K. Dumas
• WordNet Lynne Murphy
• WordNet Bethany K. Dumas
• WordNet Victoria Neufeldt
• WordNet Lynne Murphy
• WordNet Bethany K. Dumas

Das WordNet ist ein seit 1985 am Cognitive Science Laboratory der Princeton University entwickeltes lexikalisch-semantisches Netz der englischen Sprache.

WordNet besteht aus einer Datenbank, die semantische und lexikalische Beziehungen zwischen den Wörtern enthält. Diese sind nach psycholinguistischen Erkenntnissen entworfen, da das WordNet ursprünglich entwickelt wurde, um natürlichsprachliche Texte für Computer verständlich zu machen. Die Datenbank, die frei durchsuchbar und mitsamt Software kostenlos verfügbar ist, wird auch für andere Zwecke eingesetzt.

Das zum WordNet analoge deutschsprachige GermaNet ist im Gegensatz zu diesem nicht frei verfügbar. Daher bietet sich alternativ die Verwendung von WordNet Übersetzungen an, die beispielsweise in der multilingualen Datenbank BabelNet vorhanden sind. OpenThesaurus ist ein ähnliches Projekt, das jedoch etwas bescheidener in der Zielsetzung ist (als Thesaurus für eine Textverarbeitung; nur istEin-Relation; Synonym-Gruppen werden ausgewiesen). Allerdings ist OpenThesaurus unter einer freien Lizenz verfügbar.
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WordNet is a lexical database for the English language. It groups English words into sets of synonyms called synsets, provides short definitions and usage examples, and records a number of relations among these synonym sets or their members. WordNet can thus be seen as a combination of dictionary and thesaurus. While it is accessible to human users via a web browser, its primary use is in automatic text analysis and "artificial intelligence" applications. The database and software tools have been released under a BSD style license and are freely available for download from the WordNet website. Both the lexicographic data (lexicographer files) and the compiler (called grind) for producing the distributed database are available.
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wordnet

recipecenter

Fellbaum, Christiane (ed.)
WordNet