Sentence examples for measure of text from inspiring English sources

An early one is eTBlast [ 3], which uses the same principle with a more elaborated measure of text similarity that takes into account word frequencies and word order in the text.

Measures of text similarity have been used for a long time in natural language processing applications and related areas.

Measures of user satisfaction, quantity of text produced, and quality of writing produced, were taken.

The re-projection error of the feature points is also another measure of precision: (text {ReprErr}=frac {1}{N}sum _{i=1}^{N}left [left Vert q_{i}-hat {q_{i}}right Vert ^{2}/left Vert hat {q_{i}}right Vert ^{2}right ]).

The MI method measures features of text by computing similarity of word terms 'w' and category 'c'c

But he also has the intelligence to take the measure of his texts.

(6) The similarity between the query and a folder can then be expressed as a reformulation of the cosine similarity measure in terms of text sources and component documents.

Our measure of TFP is: (text {TFP}=frac{y}{k^{1/3}h^{2/3}}) where (y=text {real GDP per worker in international dollars} text {(PWT 6.1)}); (k = text {capital-labor ratio (PWT 6.1)}) and (h=text {average human capital computed using}) Barro and Lee (2001).

Overall, these text-mining results were impressive when viewed in the context of the CTD curation process, because measuring the effectiveness of text mining at CTD can be understated.

There appears to be the need for more empirical studies that directly compare these two measures, although the type of text is not a trivial matter here, and reading a written-to-be-read text aloud can no longer be viewed as typical of spoken English.

For the reading ease calculation we used the Flesch Reading Ease 31 32 score maps designed to measure the readability of texts; the reading index is 0 100.