Sentence examples for modifier words from inspiring English sources

Exact(4)

In order to ascertain the concept of instability, a free text search was conducted on the three keywords (mood, affect and emotion) to identify the most frequently used modifier words up to two words on either side of the keyword.

15 All sentences in the SLaM BRC Case Register containing the keywords and modifier words (see online supplementary table S1) were extracted and used as a basis to develop NLP applications to identify the constructs of instability of mood, affect and emotion.

Annotations can be accompanied by modifier words, such as 'NOT', which is regularly used in GO annotation, and also 'increased', 'decreased' and 'altered' to indicate that the properties of the protein form differ from those of a reference form (indicated in the 'Relative to' field).

The search results were manually reviewed by TL, RP and MT and modifier words relevant to the concept of instability (including common misspellings) were selected for inclusion in a gazetteer for each of the three NLP applications (see online supplementary table S1).

Similar(56)

The typical sentence contains subject, verb, and object in that order e.g., khǎw1 rian2 khanídtasàad3 'he1 studies2 mathematics3.' Modifiers follow the words they modify, as in phaasǎa1 thaj2 'Thai2 language1' or wîŋ1 rew2 'run1 fast2.' Thai freely incorporates foreign words.

Like everyone else looking to advertise in search, Qlika uses Google Enhanced Campaigns, which allows one to set the "mobile bid modifier," in other words how much you differentiate mobile bids from desktop and tablet bigs.

Off the wall, hyphenated as above when used as a compound modifier of the word it precedes, is a figure of speech that shows staying power.

The "one word" Akin meant was "legitimate"; but, as Hendrik Hertzberg notes, Akin has made it clear that he doesn't think the problem was that he put any modifier before the word rape — just that he said "legitimate" rather than "forcible".

Additional alternatives are generated by replacing head constituents and their modifiers by synonymous words, and then following the same over-generation rules described above.

To avoid false associations we took all sentences used by Pathway Studio (Ariadne Genomics) to determine gene associations and searched for co-occurrence of specific words: modifiers of sentence meaning, indicating increased risk of false interpretation.

Allusions to religion are restricted to frequent use of the word "holy," though only as a modifier before another dirty word.

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