
English-Corpora: COCA
[Davies] 1.1 billion word corpus of American English, 1990-2010. Compare to the BNC and ANC. Large, balanced, up-to-date, and freely-available online.
Compare: Corpus of Contemporary American English (COCA) and …
In summary, while 100 million words is often adequate for studying syntax, for some very low-frequency phenomena, there is a real difference between 100 million words (BNC) and 560 …
English Corpora: most widely used online corpora. Billions of …
The academic genre should have texts from a wide range of domains – like science, law, philosophy, humanities, history, education, etc. (COCA is balanced between these domains.)
English Corpora: most widely used online corpora. Billions of …
The COCA corpus has more than 250 million words of data from the Web (divided almost evenly between blogs and other texts from the Web), and the texts have been categorized very well …
English Corpora: most widely used online corpora. Billions of …
By far, the most widely used corpus for language learning is COCA (the Corpus of Contemporary American English). COCA is the only corpus that is large, recent, and genre - balanced.
English Corpora: most widely used online corpora. Billions of …
After inputting the text, you can then see useful information about words and phrases in that text, based on data from COCA. First, it will highlight all of the medium and lower-frequency words …
English Corpora: most widely used online corpora. Billions of …
The corpora from English-Corpora.org are the most widely used corpora in the world, and COCA is by far the most widely used of the 17 corpora at the site. Hundreds of thousands of …
English Corpora: most widely used online corpora. Billions of …
Compare genres, dialects, time periods; use AI; search by PoS, collocates, synonyms, and much more.
English Corpora: most widely used online corpora. Billions of …
到目前为止,在语言学习方面最广泛使用的语料库是COCA (the Corpus of Contemporary American English)。 COCA是唯一一个庞大、新近且体裁均衡的语料库。
English-Corpora.org
由于COCA 是唯一具有体裁多样、库容大、语料新等特点的英语语料库,数以百计类似的英语句法变异方面的深度研究都是基于它进行的。