The interpretation of written Mandarin monosyllables presented in tonally unspecified pinyin was investigated for 22 native speakers. Results showed a preference for high relative lexical frequency and, to a lesser extent low homophone density candidates, with some interaction between these two factors: where one candidate in a homophone cohort had a particularly high frequency, cohort density ...

This paper presents an unsupervised and incremental model of learning segmentation that combines multiple cues whose use by children and adults were attested by experimental studies. The cues we exploit in this study are predictability statistics , phonotactics , lexical stress and partial lexical information . The performance of the model presented in this paper is competitive with the state-o...

the present paper aims to examine the role of frequency lexicon in assessing lexical proficiency of persian learners. addressing the frequency distribution pattern of persian words, the research which is conducted in corpus-based method studies the relationship between words and lexical proficiency as well as derives the frequency lexicon from persian corpus. to do so, formal and colloquial per...

Our long-term goal is to contribute to the integration of formal and lexical semantics. Our more immediate theoretical starting point is the idea of “text as theory”, within a model-theoretic semantic framework. We describe a set of empirical problems in the domain of genitive modifiers which offer a challenge to theories of the integration of lexical, compositional, and contextual information....

Our research focuses on the identification of word usage constraints from large text corpora. Such constraints are important for natural language systems, both for the problem of selecting vocabulary for language generation and for disambiguating lexical meaning in interpretation. The first stage of our research involves the development of systems that can automatically extract such constraints...

During incremental language understanding, comprehenders draw on a rich base of probabilistic cues to efficiently process the noisy perceptual input they receive. One challenge listeners face in employing such cues is that most cues are contextdependent. Here, we present an experiment that investigates the extent to which listeners learn situation-specific adjustments in the information and/or ...

Semantic interpretation of language requires extensive and rich lexical knowledge bases (LKB). The Basque WordNet is a LKB based on WordNet and its multilingual counterparts EuroWordNet and the Multilingual Central Repository. This paper reviews the theoretical and practical aspects of the Basque WordNet lexical knowledge base, as well as the steps and methodology followed in its construction. ...

Event factuality is information about whether events mentioned in natural language correspond to either actual events that have occurred in the real world or events that are of uncertain interpretation. Factuality analysis is useful for information extraction and textual entailment recognition, among others, but sufficient performance has not yet been achieved by the machine learning-based appr...

Many methods are available for computing semantic similarity between individual words, but certain NLP tasks require the comparison of word pairs. This paper presents a kernel-based framework for application to relational reasoning tasks of this kind. The model presented here combines information about two distinct types of word pair similarity: lexical similarity and relational similarity. We ...

Pustejovsky, J. and B. Boguraev, Lexical knowledge representation and natural language processing, Artificial Intelligence 63 (1993) 193-223. Traditionally, semantic information in computational lexicons is limited to notions such as selectional restrictions or domain-specific constraints, encoded in a "static" representation. This information is typically used in natural language processing by...