Sentence examples for fixed word from inspiring English sources

Real computers generally have fixed word sizes.

We choose to match a text's words using the fixed word set from each sentiment dictionary before stems, hence words with overlapping matches (a fixed word that also matches a stem) are first matched by the fixed word.

Other methods are based on variable-length matches; they have the advantage that it is not necessary to specify a fixed word length (Comin and Verzotto, 2012; Didier et al., 2012).

Because there is no word inflection in the language, there is a fixed word order.

It depended heavily on fixed word order and on rhythmical and parallel passages.

Mandarin, like all other varieties of Chinese, has mostly monosyllabic words and word elements, and, because there are neither markers for inflection nor markers to indicate parts of speech, it has a fixed word order.

For fixed word-size computers, we have O(N⌈ log2(N ⌉) = O(N), which is a linear relationship.

The dotted, green curves show results for similar simulations, but with a much longer, fixed word-length of 512 bits.

The results obtained with the benchmark integrator are compared to those obtained with Brutus, which uses an arbitrary-precision library.1 With this library we can specify the number of bits, (L_{mathrm{w}}), used to store the mantissa, while the exponent has a fixed word-length.

Document, in its original sense, connotes fixed words to convey decisive meaning.

When a sentiment dictionary contains both fixed and stem words, we plot the matches by fixed words in blue and by stem words in green.