Sentence examples for language parsing from inspiring English sources

A rainbow coalition of sullen boys and mouthy girls ages 13 and 14, the students are meant to be learning the finer points of the French language, parsing the differences between the passé composé and the imparfait, distinctions that seem nearly as foreign to them as does the reedy young teacher down in front.

We use natural language parsing techniques to extract information from the text, and provide a proper semantic indexation which will be used by a medical-specific search engine.

The former is voice recognition, and the latter is natural language parsing.

Yes, this kind of problem will go away in time, Facebook's natural language parsing will improve allowing developers to more easily understand a phrase like "please, please stop sending me messages" but right now it's a bad experience.

One senior Democratic staff aide said today that Mr. Olson's effort to distinguish between his role as a major opponent of the Clintons and involvement in the Arkansas Project was similar to some of the careful language parsing for which Mr. Olson criticized former President Bill Clinton.

We present a new model of natural language processing in which natural language parsing and generation are strongly interleaved tasks.

Differently from natural language parses, the node labels have partial order (via their molecular weights) and also the edges have labels.

For example, Perl scripting language allows parsing very complicated text structures more efficiently than other languages such as C# or VB.

The speaker is generating language, while the analyst is parsing language, and doing so for very different reasons.

IBM's Watson is best known as the computer that won US gameshow Jeopardy! in 2011, harnessing its understanding of natural language to parse the show's obtuse questions phrased as answers.

Some Republicans say that if the Democrats heed Mr. Ritter's advice, they will dance too close to the fire of Tabor's widespread popularity and get burned — no matter how the language is parsed.