We describe a computational framework for a grammar architecture in which different linguistic domains such as morphology, syntax, and semantics are treated not as separate components but compositional domains. Word and phrase formation are modeled as uniform processes contributing to the derivation of the semantic form. The morpheme, as well as the lexeme, has lexical representation in the for...

1. Gödel, Bernays, and Hilbert. The correspondence between Paul Bernays and Kurt Gödel is one of the most extensive in the two volumes of Gödel’s collected works devoted to his letters of (primarily) scientific, philosophical and historical interest. It ranges from 1930 to 1975 and deals with a rich body of logical and philosophical issues, including the incompleteness theorems, finitism, const...

The English WordNet is a lexical database containing more than 206,900 wordconcept pairs and more than 377,500 semantic and lexical links. Trying to visualize them all at once as a node-link diagram results in a representation which can be too big and complex for the user to grasp, and which cannot be easily processed by current web technologies. We propose a visualization technique based on th...

Studies of lexical ambiguity resolution in sentential contexts have not sufficiently considered the relatedness among an ambiguous word’s meanings as a predicting factor for semantic activation. To better understand the relation between lexical access and discourse processing and the effect of semantic relatedness on lexical ambiguity resolution, a cross-modal lexical priming experiment focusin...

The Lexical-Mapping Theory (LMT) in Lexical-Functional Grammar (LFG) predicts syntactic representations by mapping from the lexical predicate argument structure of the verbs (Bresnan and Kanerva 1989). Yet the widely followed account of control still is Bresnan's (1982) functional control based on grammatical functions and structural terms. In this paper, we try to propose a theory of control i...

A broad range of priming data has been used to explore the structure of semantic memory and to test between models of word representation. In this paper, we examine the computational mechanisms required to learn distributed semantic representations for words directly from unsupervised experience with language. To best account for the variety of priming data, we introduce a holographic model of ...

This paper describes a first approach to a computational semantic analyzer for Urdu on the basis of the deep syntactic analysis done by the Urdu grammar ParGram. Apart from the semantic construction, external lexical resources such as an Urdu WordNet and a preliminary VerbNet style resource for Urdu are developed and connected to the semantic analyzer. These resources allow for a deeper level o...

Shun Ha Sylvia Wong and Peter Hancox School of Computer Science, University of Birmingham, Edgbaston, Birmingham B15 2TT, United Kingdom. E-mail: fS.Wong,[email protected] ABSTRACT The lexical representation of the Chinese word ` ' has been an issue of on-going debate. The lexical form suggested by Her seemed to provide a complete representation of the different syntactic behaviours of ...

It is often argued that accurate machine translation requires reference to contextual knowledge for the correct treatment of linguistic phenomena such as dropped arguments and accurate lexical selection. One of the historical arguments in favor of the interlingua approach has been that, since it revolves around a deep semantic representation, it is better able to handle the types of linguistic ...