Word-finding whimsy

A hundred million acts of whimsy?

Single-word and conversational measures of word-finding proficiency.

Two studies with young adults as participants evaluated the relationship, presumed in the word-finding literature to exist, between slow, inaccurate performances in single-word-naming and semantic-retrieval tasks and disruptions to conversational fluency. The measures evaluated were the frequency of conversational disruptions and the scores from 3 single-word tasks: total time from the Rapid Au...

Word finding difficulties in multiple sclerosis

Word finding difficulty is a known impairments in multiple sclerosis (MS). The purpose of this study is to adapt homophone meaning generation test to Persian language, and then examine word storage and access in multiple sclerosis patients through these three word-finding tests. This study examined the word retrieval in 90 Persian speaking patients with multiple sclerosis and 90 matched healthy...

SenseClusters - Finding Clusters that Represent Word Senses

SenseClusters is a freely available word sense discrimination system that takes a purely unsupervised clustering approach. It uses no knowledge other than what is available in a raw unstructured corpus, and clusters instances of a given target word based only on their mutual contextual similarities. It is a complete system that provides support for feature selection from large corpora, several ...

Finding Predominant Word Senses in Untagged Text

In word sense disambiguation (WSD), the heuristic of choosing the most common sense is extremely powerful because the distribution of the senses of a word is often skewed. The problem with using the predominant, or first sense heuristic, aside from the fact that it does not take surrounding context into account, is that it assumes some quantity of handtagged data. Whilst there are a few hand-ta...