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An Introduction to Unification-Based Approaches to Grammar
Engineering and Applied Science
Learning morphological phenomena of Modern Greek an exploratory approach
This paper presents a computational model for the description of concatenative morphological phenomena of modern Greek (such as inflection, derivation and compounding) to allow learners, trainers and developers to explore linguistic processes through their own constructions in an interactive openāended multimedia environment. The proposed model introduces a new language metaphor, the āpuzzleāmetaphorā (similar to the existing āturtleāmetaphorā for concepts from mathematics and physics), based on a visualized unificationālike mechanism for pattern matching. The computational implementation of the model can be used for creating environments for learning through design and learning by teaching
Treebank-based acquisition of wide-coverage, probabilistic LFG resources: project overview, results and evaluation
This paper presents an overview of a project to acquire wide-coverage, probabilistic Lexical-Functional Grammar
(LFG) resources from treebanks. Our approach is based on an automatic annotation algorithm that annotates ārawā treebank trees with LFG f-structure information approximating to basic predicate-argument/dependency structure. From the f-structure-annotated treebank
we extract probabilistic unification grammar resources. We present the annotation algorithm, the extraction of
lexical information and the acquisition of wide-coverage and robust PCFG-based LFG approximations including
long-distance dependency resolution.
We show how the methodology can be applied to multilingual, treebank-based unification grammar acquisition. Finally
we show how simple (quasi-)logical forms can be derived automatically from the f-structures generated for the treebank trees
Concurrent Lexicalized Dependency Parsing: The ParseTalk Model
A grammar model for concurrent, object-oriented natural language parsing is
introduced. Complete lexical distribution of grammatical knowledge is achieved
building upon the head-oriented notions of valency and dependency, while
inheritance mechanisms are used to capture lexical generalizations. The
underlying concurrent computation model relies upon the actor paradigm. We
consider message passing protocols for establishing dependency relations and
ambiguity handling.Comment: 90kB, 7pages Postscrip
Multi-Dimensional Inheritance
In this paper, we present an alternative approach to multiple inheritance for
typed feature structures. In our approach, a feature structure can be
associated with several types coming from different hierarchies (dimensions).
In case of multiple inheritance, a type has supertypes from different
hierarchies. We contrast this approach with approaches based on a single type
hierarchy where a feature structure has only one unique most general type, and
multiple inheritance involves computation of greatest lower bounds in the
hierarchy. The proposed approach supports current linguistic analyses in
constraint-based formalisms like HPSG, inheritance in the lexicon, and
knowledge representation for NLP systems. Finally, we show that
multi-dimensional inheritance hierarchies can be compiled into a Prolog term
representation, which allows to compute the conjunction of two types
efficiently by Prolog term unification.Comment: 9 pages, styles: a4,figfont,eepic,eps
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