Natural language processing systems need large lexicons containing explicit information about lexical-semantlc relationships, selection restrictions, and verb categories. Because the labor involved in constructing such lexicons by hand is overwhelming, we have been trying to construct lexical entries automatically from information available in the machine-readable version of Webst@r's ~@ve~h Co...

Earlier work has shown that the acoustic landmarks in speech [1,2], proposed to be important in lexical access, are largely preserved in spontaneous American English Speech [3]. Moreover, the loss of acoustic landmarks predicted from word’s lexical representation is systematic and predictable. This study reports preliminary analysis of factors that govern whether a landmark will be realized as ...

This study uses self-organizing feature maps to model the acquisition of lexical and grammatical aspect. Previous research has identified a strong association between lexical aspect and grammatical aspect in child language, on the basis of which some researchers proposed innate semantic categories (Bickerton, 1984) or prelinguistic semantic space (Slobin, 1985). Our simulations indicate that th...

We propose a solution to the annotation bottleneck for statistical parsing, by exploiting the lexicalized nature of Combinatory Categorial Grammar (CCG). The parsing model uses predicate-argument dependencies for training, which are derived from sequences of CCG lexical categories rather than full derivations. A simple method is used for extracting dependencies from lexical category sequences, ...

Interaction of lexical and derivational semantics---for example substitution and lambda conversion--is typically a part of the on-line interpretation process. Proof-nets are to categorial grammar what phrase markers are to phrase structure grammar: unique graphical structures underlying equivalence classes of sequential syntactic derivations; but the role of proof-nets is deeper since they inte...

We propose a generalization of Categorial Grammar in which lexical categories are defined by means of recur-sive constraints. In particular, the introduction of re-lational constraints allows one to capture the effects of (recursive) lexical rules in a computationally attractive manner. We illustrate the linguistic merits of the new approach by showing how it accounts for the syntax of Dutch cr...

In this report I present a prototype system for use in dynamic text categorization research. The system implements lexical chaining, as described in recent literature. On top of this is built a simple extension to use for automatically identifying one or several categories to place a given text in. The initial tests presented in this report does not give any useful results, however, it give ris...

Cognitive models based on rules and symbols typically require a high degree of handwiring. One way of avoiding the hand-wiring of rules is to rely on connectionist networks for modeling some of the core processes in language acquisition. However, connectionist models have problems with scalability and generativity. Ideally, we want a model that will keep the strengths of both symbolic and conne...

We examined the vocabulary growth of lexical categories in 719 children (age 13–24 months) as part a longitudinal cohort study (the STEPS Study) and found discrepancy how these were affected depending on child’s sex. In girls, attending day care at 24 months age predicted positive sound effects, nouns, people, games routines, compared to girls staying home. Firstborn had greater descriptive fun...

We present evidence from experiments on novel blend formation showing that adult English speakers have access to constraints that give phonological privilege to HEADS, NOUNS, and PROPER NOUNS, even though the non-blend phonology provides no evidence that such constraints are generally active in the grammar of English. Our results (a) demonstrate that these positional constraints are universally...