INTRODUCTION Several authors described cases of dissociated impairment in naming nouns and verbs. There are four main accounts of this dissociation: (i) patients may have purely lexical damage which selectively affects verbs or nouns at a late stage of the linguistic processing (phonological or orthographic lexicons) (Rapp & Caramazza, 2002); (ii) the damage affects a lexical device, either at ...

This paper presents a unified approach for Chinese lexical analysis using hierarchical hidden Markov model (HHMM), which aims to incorporate Chinese word segmentation, Part-Of-Speech tagging, disambiguation and unknown words recognition into a whole theoretical frame. A class-based HMM is applied in word segmentation, and in this level unknown words are treated in the same way as common words l...

Selectional constraints are limitations on the applicability of predicates to arguments. For example, the statement “The number two is blue” may be syntactically well formed, but at some level it is anomalous — BLUE is not a predicate that can be applied to numbers. According to the influential theory of (Katz and Fodor, 1964), a predicate associates a set of defining features with each argumen...

German demonstrative pronouns, relative pronouns, and definite articles are segmentally identical but differ strongly in the frequency with which they appear. We examined the production of five such particles in a reading task. In a comparison of orthographically identical word pairs belonging to different lexical classes we found small but significant differences in word and vowel duration, pr...

This paper presents the use of probabilistic class-based lexica for disambiguation in targetword selection. Our method employs minimal but precise contextual information for disambiguation. That is, only information provided by the target-verb, enriched by the condensed information of a probabilistic class-based lexicon, is used. Induction of classes and fine-tuning to verbal arguments is done ...

It is commonly assumed across the language sciences that some semantic participant information is lexically encoded and some is not. In this article, we propose that semantic obligatoriness and verb class specificity are criteria which influence whether semantic information is lexically encoded. We present a comprehensive survey of the English verbal lexicon and two continuation studies which c...

This paper proposes a new method of constructing arbitrary class-based related word dictionaries on interactive topic models; we assume that each class is described by a topic. We propose a new semi-supervised method that uses the simplest topic model yielded by the standard EM algorithm; model calculation is very rapid. Furthermore our approach allows a dictionary to be modified interactively ...

Acquiring vocabulary has always been recognized as a significant and challenging part of language learning process. In this study, the researcher examined the extent to which form recall of target lexical items by learners of English as a foreign language (EFL) is affected by a) repetition and b) by the type of target item; single words versus collocations. The treatment consisted of non-commun...

This paper describes and discusses some theoretical and practical problems arising from developing a system to combine the structured but incomplete information from machine readable dictionaries (MRDs) with the unstructured but more complete information available in corpora for the creation of a bilingual lexical data base, presenting a methodology to integrate information from both sources in...

Semantic Web applications require robust and accurate annotation tools that are capable of automating the assignment of ontological classes to words in naturally occurring text (ontological annotation). Most current ontologies do not include rich lexical databases and are therefore not easily integrated with word sense disambiguation algorithms that are needed to automate ontological annotation...