Sentence examples for extract sentences from inspiring English sources

Until the technology exists to extract sentences directly from our minds, we're stuck with a middleman, some kind of system or device to translate them to written form.

When someone working on a document stops typing, the patented software takes advantage of the idle time to extract sentences from the text and analyze them for "proper grammatical composition," the patent says.

When humans produce summaries of documents, they do not simply extract sentences and concatenate them.

These methods assume that a large text collection is available in the target language but we would like to apply these methods to extract sentences from the corpus.

These words have two functions in this study: (1) they are used as indexes to extract sentences from corpus; (2) they are used as the word stimuli in the study of the effect of semantic transparency on word intuition agreement.

The main goal of METSP is to identify and extract sentences with transporter-substrate information from UniProt entries.

The software subsequently extracted sentences, phrases, and individual terms to generate a text corpus.

We apply a semantic role labeling technique to parse the extracted sentences so as to identify the essential knowledge associated with the event(s) described in each sentence.

A standard ROUGE evaluation would compare the whole block of catchphrases to the whole block of extracted sentences.

This conversation system consists of three parts as follows: Conversation Flow Utterance System (CFUS) extracts sentences from the previous patterns of conversation [49].

The average precision rate of extracted sentences is only 28.6%.