brown corpus造句

• Only 135 vocabulary items are needed to account for half the Brown Corpus.
• The initial Brown Corpus had only the words themselves, plus a location identifier for each.
• The above sentence is from the Brown corpus, I would like to understand its grammatical structure.
• The Brown Corpus was painstakingly " tagged " with part-of-speech markers over many years.
• It is largely similar to the earlier Brown Corpus and LOB Corpus tag sets, though much smaller.
• The lowest perplexity that has been published on the Brown Corpus ( 1 million words of American corpora, as they are more predictable.
• This guess is based on the unigram statistics of the Brown corpus, not on the trigram statistics, which yielded the word perplexity 247.
• The corpus for annotation consists of 101, 791 tokens covering an excerpt from the Bulgarian " Brown " Corpus ] modelled on the Brown Corpus.
• Thus, in the Brown Corpus of American English, about half of the 50, 000 words are " hapax legomena " within that corpus.
• For example, NN for singular common nouns, NNS for plural common nouns, NP for singular proper nouns ( see the POS tags used in the Brown Corpus ).
• A famous example is his response when informed that Nelson Francis had received a grant to produce the Brown Corpus : " That is a complete waste of your time and the government's money.
• In 1963 and 1964, Ku
  era collaborated with W . Nelson Francis to create the " Brown Corpus of Standard American English ", generally known as the " Brown Corpus ".
• In 1963 and 1964, Ku
  era collaborated with W . Nelson Francis to create the " Brown Corpus of Standard American English ", generally known as the " Brown Corpus ".
• The ICAME group hosts academic conferences that focus on corpus linguistic studies of historical changes and contemporary grammatical descriptions of English, and makes corpora of different varieties of English available to scholars, starting with editions of the 1960s Brown Corpus.
• Some mnemonics for part-of-speech tags conjoin multiple features, such as " NN " for singular noun, vs . " NNS " for plural noun, vs . " NNS $ " for plural possessive noun ( see Brown Corpus ).
• A second important example is the use / mention distinction, as in the following example, where " blue " could be replaced by a word from any POS ( the Brown Corpus tag set appends the suffix "-NC " in such cases ):
• Although the Brown Corpus pioneered the field of corpus linguistics, by now typical corpora ( such as the Corpus of Contemporary American English, the British National Corpus or the International Corpus of English ) tend to be much larger, on the order of 100 million words.
• Again, simply guessing that the next word in the Brown corpus is the word " the " will have an accuracy of 7 percent, not 1 / 247 = 0.4 percent, as a naive use of perplexity as a measure of predictiveness might lead one to believe.
• Thus " the " constitutes nearly 7 % of the Brown Corpus, " to " and " of " more than another 3 % each; while about half the total vocabulary of about 50, 000 words are " hapax legomena " : words that occur only once in the corpus.