Sentence examples for exploit linguistic from inspiring English sources

This paper proposes the use of information retrieval to exploit linguistic information found in source code, such as identifier names and comments.

While phrase-based SMT models have been quite successful, they are nonetheless prone to production of syntactically disfluent or semantically odd translations, and much recent research has sought to exploit linguistic structure and patterns of meaning to improve translation quality.

Beginning in the 1980's, Spanish utilities, television companies and banks -- exploiting linguistic, cultural and historical ties -- rushed into Latin America as governments there liberalized their economies.

Mr. Ruscha, like Mr. Johns, is famous for untethering words from their moorings, exploiting linguistic instability to imply an instability in our grasp of experience generally.

Previous methods had largely exploited linguistic patterns and the statistics of natural-language texts letter-frequency analysis.

In the 20th century letter fiction was often used to exploit the linguistic humour and unintentional character revelations of such semiliterates as the hero of Ring Lardner's You Know Me Al (1916).

Exploiting such linguistic intricacies may now be key to cementing the coalition on the issue.

"Traditional" as some may find him, Solzhenitsyn can pose appalling problems for the translator, with his highly condensed, elliptical syntax, his urge to counter the legacy of anaemic Soviet-speak with vigorous examples of regional and obsolescent vocabulary, and his blurring of narrators' and characters' voices, exploiting a linguistic flexibility which English lacks.

The presented system utilizes standard virtual character (VC) animation technologies for the synthesis of sign sequences/streams, exploiting digital linguistic resources of both lexicon and grammar of GSL.

Out of the five participants in the shared task, three systems deserve special mention.2 The work in [16] is a statistical surface realisation engine that makes use of dependency-based n-gram models (i.e., as opposed to standard n-gram counts) to exploit structural information and linguistic features to constrain the generation space.

QuAM has been designed by exploiting a fuzzy linguistic approach along with the Computing with Words (CWW) paradigm: the customers feedbacks are modeled through linguistic labels, which naturally fit to describe human judgments; then a linguistic operator LOWA (Linguistic Ordered Weighted Averaging) allows aggregating all the collected judgments into a synthetic linguistic expression.