Languages vary typologically in their lexicalization of PATH of motion (Talmy 1991). Furthermore, lexicalization patterns are argued to a¤ect syntactic packaging at the level of the clause (e.g., Slobin 1996b) and tend to transfer from a first (L1) to a second language (L2) in second language acquisition (e.g., Cadierno and Ruiz 2006). Crosslinguistic and developmental evidence suggests, then, ...

We propose lexical rather than phrasal amalgamation of contextual features. On a theoretical level, the lexicalization of context naturally follows other recent revisions concerned with lexicalization of set-valued features (nonlocal features, quantiier storage). On a computational level, it ooers advantages in using HPSG with head-driven generation algorithms. On a linguistic level, we sketch ...

In this paper we present a fully lexicalized grammar formalism as a particularly attractive framework for the specification of natural language grammars. We discuss in detail Feature-based, Lexicalized Tree Adjoining Grammars (FB-LTAGs), a representative of the class of lexicalized grammars. We illustrate the advantages of lexicalized grammars in various contexts of natural language processing,...

Talmy‘s (1985) crosslinguistic typology of lexicalization patterns of motion events have been extensively used in second language acquisition (SLA) research as a means to examine how second language (L2) learners map form, meaning, and function. These studies have yielded some conflicting results regarding the learnability of L2 lexicalization patterns  arguably the oversimplification over and...

Two general methods for the lexicalization of probabilistic grammars are presented which are modular, powerful and require only a small number of parameters. The rst method multiplies the unlexicalized parse tree probability with the exponential of the mutual information terms of all word-governor pairs in the parse. The second lexicalization method accounts for the dependencies between the dii...

We investigated the lexicalization of syntactic knowledge in two reading experiments, one using a moving window paradigm and one measuring eye movements. Our study was motivated by Spivey-Knowlton and Sedivy’s (1995) finding that verb class, and by implication frequency information, determined how easily a prepositional phrase (PP) was attached to a verb phrase (VP) or to a direct object noun p...

The online era has made available almost cosmic amounts of information in the public and semi-restricted domains, prompting development of corresponding host of technologies to organize and navigate this information. One of these developing technologies deals with encoding information from free form natural language into a structured form as RDF triples. This representation enables machine proc...

This paper presents a new algorithm for plan recognition using an action grammar formalism based on Combinatory Catagorial Grammar, that requires a significant shift in thinking about the problem of plan recognition. This approach makes significant use of the concepts of lexicalization and headedness from natural language parsing. It argues that lexicalization of action grammars can help plan r...

This paper presents the first probabilistic parsing results for French, using the recently released French Treebank. We start with an unlexicalized PCFG as a baseline model, which is enriched to the level of Collins’ Model 2 by adding lexicalization and subcategorization. The lexicalized sister-head model and a bigram model are also tested, to deal with the flatness of the French Treebank. The ...