Recapitulation of Lecture 1 Aim of semantics and pragmatics: to give us a theory of linguistic meaning. Semantics: literal non-situation specific meaning of words + the meaning of the way words are combined = the starting point from which the whole meaning of utterance is constructed. Pragmatics: the meaning the speaker intends to communicate in a particular utterance. One of the questions sema...

Linguistic communication relies on non-linguistic context to convey meaning. That context might include, for instance, recent or long-term experience, semantic knowledge of the world, or objects and events in the immediate environment. In this paper, we describe embodied agents instantiated in Soar cognitive architecture that use context derived from their linguistic, perceptual, procedural and...

abstract Keywords: temporal processing, temporal extraction, tense, aspect, hybrid approaches, deep linguistic processing, shallow linguistic processing The full-fledged processing of temporal information presents specific challenges. These difficulties largely stem from the fact that the temporal meaning conveyed by grammatical means interacts with many extra-linguistic factors (world knowledg...

We hypothesize that linguistic (dis-)organization in the schizophrenic brain plays a more central role in the pathogenesis of this disease than commonly supposed. Against the standard view, that schizophrenia is a disturbance of thought or selfhood, we argue that the origins of the relevant forms of thought and selfhood at least partially depend on language. The view that they do not is premise...

semantic shifting which is one of the most important semantic processes forming the meaning of some linguistic structures was first introduced by safavi (1379). the meaning of different structures such as proverbs, are made by semantic shifting which takes place on the syntagmatic axis, but is shown on the paradigmatic axis. the corpus used in this study consists of 10 persian proverbs which ar...

Children learn the meaning of words by being exposed to perceptually rich situations (linguistic discourse, visual scenes, etc). Current computational learning models typically simulate these rich situations through impoverished symbolic approximations. In this work, we present a distributed word learning model that operates on child-directed speech paired with realistic visual scenes. The mode...