Sentence examples for parsing technologies from inspiring English sources

We support different parsing technologies, among them btyacc, that is, yacc with backtracking.

According to these requirements, we employed the SM open platform application programing interface (API) and traditional web parsing technologies (Lian et.al, [40]; Zhou et.al, [41]) to develop a web crawler program to collect data.

Natural language processing and parsing technologies are still improving (as Siri has proven so effectively), as is Ginger's grammar-check, but this is a big step in the right direction.

Since our main interest is in mapping natural language queries to structured queries, and not in developing parsing technologies, we exploit systems such as MINIPAR [ 8] or Stanford Dependence Parser [ 40] that are widely respected for their accuracy in parsing query sentences and computing dependence graphs and semantic roles.

Generalized parsing technology provides the power and flexibility to attack real-world parsing applications.

The getTalent app combines existing OCR and parsing technology.

It also helps that they have their own patent-pending video parsing technology working behind the scenes.

If natural language were structurally unambiguous with respect to some comprehensive, effectively parsable grammar, our parsing technology would presumably have attained human-like accuracy some time ago, instead of levelling off at about 90% constituent recognition accuracy.

The parsing technology being used to scan emails is the same technology TripIt uses to extract information from travel confirmation emails and populate tis information into itineraries.

We show how a student model can support computerized adaptive language testing for diagnostic purposes in a Web-based language learning environment which does not rely on parsing technology.

However, at present most codes have not adopted this and we have therefore written a series of converters based on a declarative parsing technology (JUMBO-Parser) which allows for very high (greater than 95%) precision and recall of the structure and semantics of the documents.