Broca's area & Wernicke's area

Slides:



Advertisements
Similar presentations
The Logic of Quantified Statements
Advertisements

First-Order Logic (and beyond)
Semantics (Representing Meaning)
The Meaning of Language
Critical Thinking Course Introduction and Lesson 1
REVIEWING THE Test ESSAY for Unit 3
Human Communication.
Jennifer Nazar.  A language disorder produced by brain damage.  Most studies come from those who have aphasias.  Study behaviors associated with the.
Knowledge Representation Methods
The Dimensions of Meaning
Thinking and Language. Thinking  Another name for thinking is cognition which is defined as all the mental activities associated with thinking, knowing,
Chapter Nine The Linguistic Approach: Language and Cognitive Science.
Fuzzy Medical Image Segmentation
PSY 369: Psycholinguistics Some basic linguistic theory part3.
Understanding Sentences. Two steps back: What is linguistic knowledge? Phonological Syntactical Morphological Lexical Semantic.
The syntax of language How do we form sentences? Processing syntax. Language and the brain.
March 1, 2009 Dr. Muhammed Al-Mulhem 1 ICS 482 Natural Language Processing INTRODUCTION Muhammed Al-Mulhem March 1, 2009.
Psycholinguistics.
"One brain, two languages-- educating our bilingual students in the light of Neuroscience“ Dr. Luz Mary Rincon.
© 2011 The McGraw-Hill Companies, Inc. Instructor name Class Title, Term/Semester, Year Institution Introductory Psychology Concepts Language.
Katie Hughes and Marley Roberts
1 Predicate (Relational) Logic 1. Introduction The propositional logic is not powerful enough to express certain types of relationship between propositions.
1.  What is Speech ?  Speech is complex form of communication in which spoken words convey ideas.  When we speak, first we understand. 2.
Albert Gatt LIN3021 Formal Semantics Lecture 4. In this lecture Compositionality in Natural Langauge revisited: The role of types The typed lambda calculus.
LECTURE 2: SEMANTICS IN LINGUISTICS
1 Introduction to Computational Linguistics Eleni Miltsakaki AUTH Spring 2006-Lecture 8.
Issues in Decision Making Kahneman and Tversky – Representativeness heuristic How well does information match our representation of concept Stereotype,
Predicates and Quantifiers Dr. Yasir Ali. 1.Predicates 2.Quantifiers a.Universal Quantifiers b.Existential Quantifiers 3.Negation of Quantifiers 4.Universal.
Lecture 1 Ling 442.
Language. The system of spoken or written communication used by a particular country, people, community, etc., typically consisting of words used within.
Lecture 10 Semantics Sentence Interpretation. The positioning of words and phrases in syntactic structure helps determine the meaning of the entire sentence.
1 First Order Logic CS 171/271 (Chapter 8) Some text and images in these slides were drawn from Russel & Norvig’s published material.
Lecture 041 Predicate Calculus Learning outcomes Students are able to: 1. Evaluate predicate 2. Translate predicate into human language and vice versa.
Section 1.4. Propositional Functions Propositional functions become propositions (and have truth values) when their variables are each replaced by a value.
Language Objective: Student will: be able to identify the structural features of language be able to explain theories of language be able to explain stages.
CSE 20: Discrete Mathematics for Computer Science Prof. Shachar Lovett.
Neurobiology of Dyslexia Elizabeth S. Norton, Sara D. Beach and John DE Gabrieli Presented by Michaela Cronin April 16, 2015.
Language is common to all humans; we seem to be “hard-wired” for it
Semantic Boston University.
Lecture 6 Modality: Possible worlds
Introduction to Linguistics
Logic.
An Introduction to Linguistics
LANGUAGE (Speech/Language Impaired)
Copyright © American Speech-Language-Hearing Association
Language: An Overview Language is a brain function
Statistical NLP: Lecture 3
Lecture 3 Natural Language Processing
Semantics (Representing Meaning)
Introduction to Linguistics
Language, Logic, and Meaning
Language.
CSC 594 Topics in AI – Applied Natural Language Processing
Unit 7 Cognition.
Copyright © Cengage Learning. All rights reserved.
Artificial Intelligence Lecture 11: First Order Logic
Linguistic Essentials
Copyright © Cengage Learning. All rights reserved.
CHAPTER 3 Logic.
Introduction to Semantics
TRUTH TABLES.
Language.
Copyright © Cengage Learning. All rights reserved.
ALI JABBER KARAM Presented by :
Introduction Dr. Mahmoud Altarabin.
Ways to study the Brain!!! Accidents: damage to brain regions can tell us about their functions Phineas Gage.
Logical and Rule-Based Reasoning Part I
UNIT 3 THE CONSCIOUS SELF
Introduction to Computational Linguistics
Post-Midterm Practice 1
Presentation transcript:

Broca's area & Wernicke's area Speech is an important function controlled by two main regions of the brain, Broca's area and Wernicke's area. Broca's area is in the frontal lobe and is responsible for generating meaningful speech. People who sustain damage in Broca's area are often unable to say anything that makes sense, even though they are able to understand other people. Wernicke's area is necessary for speech recognition. Damage to Wernicke's area results in an inability to comprehend spoken language, a very disabling condition to be sure. Interestingly, the two speech centers are confined to only one side of the brain, typically the dominant left side. This is different than most brain functions which are handled by the analogous brain regions on both sides.

Functional Neuroimaging Functional neuroimaging uses techniques, such as functional magnetic resonance imaging (fMRI), to visualize brain function by visualizing changes in chemical composition of brain areas or changes in the flow of fluids that occur over timespans of seconds to minutes

Principle of Compositionally How do humans manage to stuff an infinite language into their finite brains? There is a systematic relation between the meaning of the whole and that of its parts

Sources of ambiguities lexical word sense: bank (river)/bank (finance) part of speech: plan (noun)/plan (verb) structural They are annoying children ((They) (are annoying) (children)) ((They) (are) (annoying children)) Scopal Every student knows two languages Each student knows two languages. It is not necessary that all students know the same two languages There are two languages that are known by all students

Ambiguity Natural languages are ambiguous, two examples: I withdrew some money from my bank. (what bank? river bank? financial bank?) Sarah called Janet. She … (who does ‘she’ refer to? Sarah or Janet?)

Sources of ambiguities (2) Pragmatic Can you pass the salt? yes/no question a request Attachment The cop saw the man with the binoculars.

Local and Global Ambiguities Local ambiguities An ambiguity that arises at some local level, but it is resolved at the global level Global ambiguities The entire sentence can be analyzed in more than one way resolution of global ambiguities context domain knowledge statistical information

Pronoun Comprehension Pronouns are one type of ambiguity Clinton confessed to Gore when he asked for the truth. Different factors affecting pronoun comprehension gender number person order of mention center of attention

Truth Table A truth table is a conventionalized arrangement of all the possible combinations of truth values for the components of a proposition or argument. A truth table for statement PQ P Q P PQ 1

Boolean Connectives P Q P PQ PQ PQ 1

entailment |= is a set of sentences is a sentence example: {John is a bachelor} entails John is an unmarried adult male.

possible worlds semantics On the possible worlds theory, propositions are identified with sets of possible worlds. A proposition p is true at a possible world w if and only if w is a member of p. In the framework of possible world semantics, linguistic expressions are assigned extensions "at" possible worlds. Thus, names, n-place predicates and sentences are assigned individuals, sets of n-tuples of individuals, and truth values, respectively, at different possible worlds. Intuitively, possible worlds are to be thought of as "ways things could have been"

First Order Logic a model: In this model, domain = {john, mike, sarah, alice, natalia} i(man)={john,mike} i(woman)={sarah,alice, natalia} i(loves)={(john,sarah),(mike,alice)} In this model, Entities are john, mike, sarah, alice, natalia Predicates are man, woman, and loves

First Order Logic (2) Sentence “Every man loves a woman” can then be translated to: where x and y are variables is universal quantifier, meaning “for all” is existential quantifier, meaning “there exists”