Sentence examples for extract words from inspiring English sources

The phrase "extract words" is correct and commonly used in written English
It refers to identifying and taking out specific words from a larger sentence or text. You can use it in various situations, such as when discussing the process of analyzing a text or when giving instructions on how to summarize a passage. Example: In order to fully understand the main idea of the paragraph, we need to carefully extract the key words and phrases.

Exact(6)

During stage 1 of map reduction aggregation, multiple threads extract words and associated classes from the gene sequence data in parallel.

When M chocked in his tears and paused to extract words of repentance, the entire auditorium erupted in cheers and applause of encouragement, "Take your time, brother!

Real writers extract words from a mental lexicon that provides almost 'ready to use' words [30].

Infants are able to extract words before they attain the ability to exploit structural information [12].

The present study provides direct evidence suggesting that the mechanisms to extract words and structural dependencies from continuous speech are functionally segregated.

This has led some authors to propose that different cognitive mechanisms underlie the ability to extract words and structural dependencies from the speech signal [11].

Similar(54)

We present two different methods (source word dependent and independent clustering) that extract word pronunciations from word-to-phoneme alignments and compare them.

This work used the content window size of five to extract word features, including the two preceding words, the current word, and the two following words.

There are some further minor differences in questionnaire and clinical data extract wording between versions - see Additional files 1, 2, 3, 4, 5 and 6 for the questionnaires and the paper proforma for clinical data extracts for use by each service type.

Their spider (called TheRarestParser/0.2a) started scouting the internet in May and extracted words from many websites.

These extracted words are then mapped to a knowledge framework we proposed.

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