objectives: stuttering is one of the most prevalent speech and language disorders. symptomology of stuttering has been surveyed from different aspects such as biological, developmental, environmental, emotional, learning and linguistic. previous researches in english-speaking people have suggested that some linguistic features such as word meanings may play a role in the frequency of speech non...

This paper presents a detailed comparative framework for assessing the usefulness of unsupervised word representations for identifying so-called implicit discourse relations. Specifically, we compare standard one-hot word pair representations against low-dimensional ones based on Brown clusters and word embeddings. We also consider various word vector combination schemes for deriving discourse ...

We describe a memory-based classification architecture for word sense disambiguation and its application to the SENSEVAL evaluation task. For each ambiguous word, a semantic word expert is automatically trained using a memory-based approach. In each expert, selecting the correct sense of a word in a new context is achieved by finding the closest match to stored examples of this task. Advantages...

Non-negative Matrix Factorization (NMF) and its variants have been successfully used for clustering text documents. However, NMF approaches like other models do not explicitly account the contextual dependencies between words. To remedy this limitation, we draw inspiration from neural word embedding posit that words frequently co-occur within same context (e.g., sentence or document) are likely...

technical terminology has a significant role in translation of technical or scientific texts. unfortunately, most of research in this area has not perceived the urgent need for a model to analyze or shown how translate technical or scientific terminology. in this paper, the researcher attempts to designs a workable model for translation of technical or scientific terminology. the major aim of t...

In this paper we describe the English Lexical Substitution task for SemEval. In the task, annotators and systems find an alternative substitute word or phrase for a target word in context. The task involves both finding the synonyms and disambiguating the context. Participating systems are free to use any lexical resource. There is a subtask which requires identifying cases where the word is fu...

The word-frequency effect (WFE) in recognition memory refers to the finding that more rare words are better recognized than more common words. We demonstrate that a familiarity-discrimination model operating on data from a semantic word-association space yields a robust WFE in data on both hit rates and false-alarm rates. Our modeling results suggest that word frequency is encoded in the semant...

Purpose: The purpose of this study is to identify relationships among the word-finding behaviors ratio using discourse production task, subjective memory, and objective memory in healthy elderly adults.Methods: Ninety-five adults participated study. Participants were used picture description tasks. To evaluate deficit elderly, Subjective Memory Complaints Questionnaire (SMCQ) was used, deficit,...