Subjectivity is a pragmatic, sentence-level feature that has important implications for text processing applications such as information extraction and information retrieval. We study the effects of dynamic adjectives, semantically oriented adjectives, and gradable adjectives on a simple subjectivity classifier, and establish that they are strong predictors of subjectivity. A novel trainable me...

Three experiments are reported in which rapid sequential visual presentation of sentences--RSVP--was used to determine some perceptual processes in sentence perception. It was found that adjectives, when they are actually or potentially modifiers of a noun, are far less likely to be reported than any other part of the sentence. On the other hand, adjectives which are attribute adjectives are as...

Relations between time perception and Type A behaviour were investigated. Extreme Type A (n = 26) and B (n = 28) male college undergraduates rated the appropriateness of 158 adjectives as descriptors of time. Adjectives were independently rated using seven-point Likert 'speed' and 'energy' scales. Analyses showed that Type As rate adjectives low in speed and energy as less descriptive of time t...

Learning and conceptualizing words categories such as verbs, nouns and adjectives in language based on sensorimotor interactions of a robot is a challenging topic in cognitive robotics. In this article, we summarize our approach that is based on first learning affordances of objects by interacting with them, and then, learning and conceptualizing verbs, nouns and adjectives from these interacti...

In this paper building statistical language models for Persian language using a corpus and incorporating them in Persian continuous speech recognition (CSR) system are described. We used Persian Text Corpus for building the language models. First we preprocessed the texts of corpus by correcting the different orthography of words. Also, the number of POS tags was decreased by clustering POS tag...