Sentence examples for electronic corpus from inspiring English sources

Exact(9)

The electronic corpus callosum.

[3] A virtual corpus callosum is not the same thing as an electronic corpus callosum.

With that purpose I draw on an electronic corpus of 1,673 samples reporting fatal accidents between 2005 and 2012.

Thesaurus musicarum italicarum (TMI), is an electronic corpus of Italian music treatises from the Renaissance and early Baroque in multimedial transcription, from the Institute of Information and Computing Sciences, Utrecht University, Netherlands.

When books and other written documents are gathered into an electronic corpus, one "subcorpus" can be compared with another: all the digitized fiction, for instance, can be stacked up against other genres of writing, like news reports, academic papers or blog posts.

The Czech National Corpus (CNC) is an academic project focusing on building a large electronic corpus of mainly written Czech.

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Similar(51)

With an increasing volume of electronic corpora available online, research on the systems of science and technology, once considered to be a domain of humanities, social sciences and economics, has expanded its realm to be a subject of data science [5].

The 15-strong new words team – out of a staff of 70 at the OED – work year round tracking words in corpuses electronic text collections containing billions of words – and analysing online databases, as well as material submitted by the public through reading programmes.

To test this intuition, linguists have analyzed large corpora of electronic data to see how frequently pairs of adjectives such as "big red" are preferred to "red big". The results confirm our native intuition, although the figures are not as comprehensive as we might expect — the rule accounts for 78percentt of the data.

With this capacity to develop countless customized electronic textbooks, we envision building a corpus of open-source materials available for dynamic use by faculty and students at Harvard and beyond.

In analyzing 124,993 unique tokens from 238,898 documents of a 590 MB corpus from the Oregon Health Sciences University electronic medical record, Hersh et al. discovered that around 7%% are misspelled words [ 6].

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