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This enables to narrow the search to a particular parts of speech, word sequences or a specific part of the corpus. First text corpora were created in the 1960s, such as the 1-million-word Brown Corpus of American English .
The Brown Corpus was a carefully compiled selection of current American English, totalling about a million words drawn from a wide variety of sources. Kučera and Francis subjected it to a variety of computational analyses, from which they compiled a rich and variegated opus, combining elements of linguistics, psychology, statistics, and sociology.
Some lists of common words distinguish between word forms, while others rank all forms of a word as a single lexeme (the form of the word as it would appear in a dictionary). For example, the lexeme be (as in to be ) comprises all its conjugations ( is , was , am , are , were , etc.), and contractions of those conjugations. [ 5 ]
The project began in 1990 with the primary aim of collecting material for comparative studies of English worldwide. Twenty-three research teams around the world are preparing electronic corpora of their own national or regional variety of English. Each ICE corpus consists of one million words of spoken and written English produced after 1989. [6]
The longest single-word town names in the U.S. are Kleinfeltersville, Pennsylvania and Mooselookmeguntic, Maine. The longest official geographical name in Australia is Mamungkukumpurangkuntjunya. [28] It has 26 letters and is a Pitjantjatjara word meaning "where the Devil urinates". [29]
Word2vec is a technique in natural language processing (NLP) for obtaining vector representations of words. These vectors capture information about the meaning of the word based on the surrounding words.
There is one count that puts the English vocabulary at about 1 million words—but that count presumably includes words such as Latin species names, prefixed and suffixed words, scientific terminology, jargon, foreign words of extremely limited English use and technical acronyms. [43] [44] [45] Urdu: 264,000
The British National Corpus (BNC) is a 100-million-word text corpus of samples of written and spoken English from a wide range of sources. [1] The corpus covers British English of the late 20th century from a wide variety of genres, with the intention that it be a representative sample of spoken and written British English of that time.