Constraint Solving and Language Processing: First by Henning Christiansen, Peter Rossen Skadhauge, Jørgen

By Henning Christiansen, Peter Rossen Skadhauge, Jørgen Villadsen

This ebook constitutes the completely refereed post-proceedings of the 1st foreign Workshop on Constraint fixing and Language Processing, CSLP 2004, held in Roskilde, Denmark in September 2004.

The eight revised papers awarded including four invited papers by way of major researchers went via rounds of reviewing, choice, and development for inclusion within the e-book. one of the themes addressed are estate grammars, abduction, metagrammars, NLP semantics, induction, graph configuration for NLP, constraint established grammars, parsing, human sentence processing, constraint optimization, and normal language generation.

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The canonical example of this is quantifier scope ambiguity, arising from the use of multiple quantifiers within certain predicative contexts. Figure 4, for example, is the only licit phrase structure tree that can be assigned to the sentence, Every student reads a book, even though this sentence 50 G. Penn and F. Richter S NP VP ¯ V John V NP sees Det ¯ N a ¯ N PP N man with a suitcase Fig. 3. The “low” and only licit attachment of the prepositional phrase, with a suitcase.

Thus the following statement expresses the fact that various realisations of the subject are equivalent: Subject → ∨ ∨ ∨ CanonicalSubject WhSubject RelativeSubject CliticSubject (19) As surely has become evident, the language presented in this section has very much the flavor of a logic programming language. More precisely, it can be understood as an instance of the Definite Clause Grammar (dcg) paradigm. , all the possible ways words could be combined into grammatical sequences by concatenation.

Conjunctions of colored tree fragments. e. a program expressed in language LC , as a dcg is that it can be reduced to a logic program and executed as such using well-known techniques. What remains to be explained is how, from a conjunction of colored tree fragments, we derive all complete trees that can be formed by combining these fragments. For this task, we propose a constraint-based approach that builds upon and extends the treatment of dominance constraints of Duchier and Niehren [14]. We begin by slightly generalizing the language introduced in Section 4 to make Metagrammar Redux 43 it more directly amenable to the treatment described in [14], then we show how we can enumerate the minimal models of a description in that language by translating this description into a system of constraints involving set variables, and solving that instead.

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