Sentence examples for text chunks from inspiring English sources

These have the advantage of standardized text "chunks" for extraction but the disadvantage that only a small proportion of the chemical content of a paper may be specified in the abstract.

To cover frequently used common class terms semi-automatically we have analysed the text corpus of all Medline abstracts using characteristic text chunks as described in the methods section.

Since Interslice does not have a mechanism to prevent the propagation of segmentation error to subsequent segments, we also manually verified the agreement between the start and end of the resulting speech and text chunks before using them for building the TTS systems.

A third author (TH) then coded the transcripts using the extracted themes, and was able to allocate text chunks to the aforementioned themes.

This work further simulates the scenario when the EHR data did not contain explicit layout format by removing all the original empty line breaks among all text chunks.

A 4 megabyte collection of abstracts chunked as whole abstracts or as chunked sentences (delimited by period-space-space) contained no instances of pseudo-terms created by the obliteration of sentence boundaries in the whole-abstract text chunks.

Automatic text chunking aims to recognize grammatical phrase structures in natural language text.

Text chunking is an essential pre-processing step in information extraction systems.

Text chunking provides downstream syntactic information for further analysis, which is also an important technology in the area of text mining (TM) and natural language processing (NLP).

Though multitasking and copy/paste have arrived, the key problem – the text chunking and rejection of useful visual shortcuts such as icons – goes on.

Both coders grab sequentially occurring chunks of text, each chunk delimited by a double-newline delimiter (roughly the ascii equivalent of a paragraph delimiter) and place the grabbed text chunk into a temporary scalar variables.