An LFG grammar of Polish (POLFIE)

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An LFG grammar of Polish (POLFIE)

POLFIE

http://zil.ipipan.waw.pl/LFG

ID:

429 POLFIE is an LFG grammar of Polish implemented in the XLE system (Xerox Linguistic Environment), it is being developed within NEKST project. It provides a two-layer representation: constituent structure (c-structure, tree representation) and functional structure (f-structure, AVM representation). It is based on two previous implemented grammars of Polish: its c-structure is based on GFJP2, a DCG grammar used by the parser Świgra, while its f-structure is inspired by FOJP, an HPSG grammar of Polish. Lexical entries used by the grammar are created using Morfeusz, the state-of-the-art morphological analyser for Polish, and converted valence dictionaries used by Świgra.

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DistributionAvailability

Available - Restricted Use

Licence

GPL

Restrictions: Share Alike

Fee: free of charge

Download location: hidden

Distribution Access/Medium: Downloadable

Contact Person

Agnieszka Patejuk

text

Language Description General Information

Grammar

Encoding

Theoretic model: LFG (Lexical Functional Grammar) grammars minimally provide two levels of representation: constituent structure (c-structure) produced by context-free phrase structure rules and functional structure (f-structure) created by functional descriptions.

Encoding level: Syntax

Monolingual text languageDescriptionLanguages

Polish

Language Script: UTF-8

Linguality

Linguality type: Monolingual

Size

Grammar has 46 rules with 355 states, 634 arcs, and 1100 disjuncts (2317 DNF).

Modalities

Written Language

Resource Creation

Resource Creator

Agnieszka Patejuk

Creation started: 09/03/2010

Funding Project

An adaptive system to support problem-solving on the basis of document collections in the Internet (NEKST)

URL: http://www.ipipan.wa...

Funding Type: National Funds

Funder: The Polish Ministry of Science and Higher Education

Funding Country: Poland

Project duration: 01/04/2009 - 14/02/2014

Metadata

Created: 23/01/2013

Last Updated: 23/01/2013

Source: CESAR

Metadata Creator

Agnieszka Patejuk

Version

Version: 1.0

Last Updated: 23/01/2013

Usage

Foreseen UseNlp Applications

Use NLP Specific: Parsing

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