Graduate Institute of English, National Taiwan Normal University Abstract Since polysemy has multiple but related senses, finding any coherent system would seem impossible. But its senses are not random. When we look at inferences among them, it becomes clear that there must be a systematic structure of some kind. Based on the prototype theory, which views lexical items as constituting natural ...

This paper deals with translation ambiguity and target polysemy problems together. Two monolingual balanced corpora are employed to learn word co-occurrence for translation ambiguity resolution, and augmented translation restrictions for target polysemy resolution. Experiments show that the model achieves 62.92% of monolingual information retrieval, and is 40.80% addition to the select-all mode...

In this article we look at how the use of ontologies can assist in analysing polysemy in natural languages. We develop a model, the Lexical-Sense-Ontology model (LSO), to represent the interaction between a lexicon and ontology, based on lemon. We use the LSO model to show how default rules can be used to represent semi-productivity in polysemy as well as discussing the kinds of ontological inf...

the category of verbal participation is one of the subjects being studied by the linguists, esp. in semantics. in this vesearch, it has been tried to investigate the old approaches toward this phenomenon in the arabic language and philology. in modem semantics it is called as polysemy. here the polysemy and its technical terms has been scientifically defined. the similarities and differences ha...

Gernsbacher (1984) found that number of word meanings (polysemy) did not influence lexical decision time when it was operationalized as number of dictionary definitions. This finding supports her contention that subjects do not store all possible dictionary meanings for words in memory. The present experiments extended Gernsbacher's research by determining whether more psychologically valid mea...

Polysemy is the capacity for a word to have multiple meanings. Polysemy detection is a first step for Word Sense Induction (WSI), which allows to find different meanings for a term. The polysemy detection is also important for information extraction (IE) systems. In addition, the polysemy detection is important for building/enriching terminologies and ontologies. In this paper, we present a nov...

Metonymy is a creative process that establishes relationships based on contiguity or semantic relatedness between concepts. We outline a mechanism for deriving new concepts from WordNet using metonymy. We argue that by exploiting polysemy in WordNet we can take advantage of the metonymic relations between concepts. The focus of our metonymy generation work has been the creation of nounnoun comp...