This interface provides on-line access to the LinGO English Resource Grammar (ERG). Using facilities of the (a) Linguistic Knowledge Builder (LKB) grammar engineering platform, (b) high-efficiency PET System parser, (c) [incr tsdb()] profiling environment, and (d) Redwoods treebanking tools, the interface allows one to input one sentence at a time, analyze it using the ERG, and visualize analysis results in various forms.

To analyze a sentence or fragment, enter it in the input box, then click Analyze. The allow buttons below the input box permit you to control whether the parser accepts full sentences and/or fragments, and some degree of robustness and ambiguity in the analyses; the unknown button controls whether or not to use the unknown-word facility for words not in the 40,000-stem manual lexicon; the search button controls whether the parser should return all licensed analyses, or only the top-ranked N; the output button determines the form of the parser output (syntactic parse trees, Minimal Recursion Semantics, or Elementary Dependencie Structures); and the show button determines the number of highest-ranked analyses to present. Clicking the Sample button will activate a random selection of a sentence from the CSLI syntactic test suite.

The LOGON on-line pages make relatively heavy use of Cascading Style Sheets (CSS) and (some) JavaScript; while it should be possible to navigate without JavaScript, for the CSS to work properly, you will need a modern, HTML 4.0.1 compliant browser (e.g. FireFox or Mozilla 1.x, Netscape 7.x, IE 5.x, and later versions or derivatives). Please relay bug reports and suggestions for improvement back to the ERG and DELPH-IN developers.

allow:sentencesfragmentsless ambiguityminor errors   |  unknown words:
search:allbest  |  output:treeedsmrs  |  show:  results
[LOGON (2014-08-09 12:04:28 +0200) — ERG (1214)ERG (1214)]

(This on-line demonstrator is hosted at the University of Oslo)