Sentence examples for textual system from inspiring English sources

The tool enables graphical modeling of service-based systems, within the resource-aware timed behavioral language Remes, as well as a textual system description.

While many studies of the web focus solely on its use and users, Brügger approaches the archived web as a semiotic, textual system in order to offer the first book-length treatment of its scholarly use.

More specifically, it examines how the intonational systems of INFORMATION DISTRIBUTION and INFORMATION FOCUS interact with other textual systems to express the values in mode.

We can predict that if the three textual systems of Reference, Theme and Information structure function independently in written English, then the interaction of the three systems creates meaningful choices.

Looking to Hasan's options for speaker in the textual relation system, the speaker attitude is [neutral]: the text has no obvious lexical selections that would be considered to function as overtly evaluative (Martin & White 2005), except in the paraphrase of the Iraqi president, already a much discredited figure.

UMBC_EBIQUITY-CORE: Semantic Textual Similarity Systems.

Our algorithm is unsupervised, resource-lean, and effective, accurately recovering many DE operators that are missing from the hand-constructed lists that textual-inference systems currently use.

In this paper, we present a light-weight Chinese textual entailment recognition system using part-of-speech information only.

Database tomography (DT) is a textual database analysis system consisting of two major components: (1) algorithms for extracting multiword phrase frequencies and phrase proximities (physical closeness of the multiword technical phrases) from any type of large textual database, to augment (2) interpretative capabilities of the expert human analyst.

Within the DataPall system, textual input is minimized whenever possible, in line with the feedback provided by hospital staff members who worried about the time necessary to input appointments at slow typing rates.

To this end, the system uses textual information from technological document databases and applies morphology analysis to derive promising alternatives and conjoint analysis to evaluate their priority.