Sentence examples for processing of the text from inspiring English sources

Yet, given that text is in a natural language (e.g., English, German, Japanese, etc)., which people can understand but machines cannot, some automated processing of the text itself is needed before further processing can be applied.

A search feature based on OCR processing of the text is in development and should be in place for the latter half of the coming school year, which Davis pointed out is really when it starts being necessary.

It has also been suggested that topic interest and attentional allocation are related such that the more interested one is in the current topic the better their attention is focused on the material leading to overall deeper processing of the text (Hidi, 2001).

To enable processing of the text, the analysis was done in different steps.

The sequence of events involved in the processing of the text raw data files is thresholding to 1 and normalization [=log (base 2) transformation and 75 percentile shift].

Furthermore, even if data were provided in a structured format, both the structure and the content of the data might be inadequate for future needs, therefore potentially necessitating further processing of the text in any case.

In this talk I'll describe our work on a kind of 'computational history of science' in which we use natural language processing on the text of on-line papers to model how ideas spread from field to field.

In order to identify, extract, and analyse this information from the literature, automatic processing of the texts is required [ 13].

The greater integrative processing of the illustrated text was associated with higher learning performances.

For instance, before a textual fact about two interacting proteins can be deposited in a database, the processing of the source text would usually involve sentence splitting, tokenization, part-of-speech tagging, protein name recognition and identification and protein relationship extraction.

The identification and selection of terminological units in specialized texts are fundamental tasks for the building of two different resources: (i) traditional lexicographical resources (such as glossaries and dictionaries) and (ii) computational resources that aid the automatic processing of these texts (such as taxonomies and ontologies).