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PATR-II

Known as: PATR 
PATR-II is a linguistic formalism used in computational linguistics, developed by Stuart M. Shieber. It uses context-free grammar rules and feature… 
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Related topics

Related topics

2 relations
Computational linguisticsContext-free grammar

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2014
2014
Trip Recommendation with Multiple User Constraints by Integrating Point-of-Interests and Travel Packages
With the advances of mobile communication techniques in recent years, numerous kinds of Location-Based Services (LBSs) have been… 
2004
2004
Difusión léxica, cambio semántico y gramaticalización: el caso de haber + participio en español antiguo
This paper deals with the early stages of grammaticalization of haber + participle in Old Spanish and examines the paths of… 
2000
2000
`Lexical Rules' are just lexical rules
The question we address in this paper is whether`Lexical Rules' deserve their grand status, a status that is often conveyed by a… 
1996
1996
Die Konstanzer LFG-Umgebung
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1995
1995
A framework for lexical representation
In this paper we present a unification-based lexical platform designed for highly inflected languages (like Roman ones). A… 
1994
1994
Exploiting structural similarities in machine translation
The central properties of an experimental system for machine translation, PONS, and the ideas behind them, are presented and… 
1992
1992
ABSTRACT Shake-and-Bake Machine Translation
A novel approach to Machine Translation (MT), called Shake-and-Bake, is presented, which exploits recent advances iLL… 
1992
1992
Towards Robust PATR
We report on the initial stages of development of a robust parsing system, to be used as part of The Editor's Assistant, a… 
1991
1991
Sorted Feature terms and Relational Dependencies
In this paper we describe the key ideas of the unification-based grammar formalism STUF that is being developed and used within… 
Highly Cited
1991
Highly Cited
1991
Unification-based grammars and tabular parsing for graphical languages
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