Map
Index
Random
Help
th

QuoteRef: ziffP_1960

topics > all references > ThesaHelp: references t-z



ThesaHelp:
references t-z
Group:
data type
Topic:
words in natural languages
Topic:
meaning by use
Topic:
is a name a literal string or a symbol
Topic:
rules
Topic:
language and life as a game
Topic:
non-constraining system
Topic:
philosophy of mind
Group:
meaning and truth
Topic:
what is truth
Topic:
semantic truth; s iff p
Topic:
children vs. adults
Topic:
natural language as action or problem solving
Topic:
naming by pointing or recognition
Topic:
elements
Topic:
meaning by social context
Topic:
semantic networks
Topic:
meaning by language as a whole
Topic:
meaning vs. reference
Topic:
names as rigid designators
Topic:
names as abbreviations for descriptions
Topic:
declarative vs. procedural representation
Topic:
meaning without reference
Topic:
Liar's paradox and Russell's paradox
Topic:
meaning of words

Reference

Ziff, P., Semantic Analysis, Ithaca, New York, Cornell University Press, 1960. Google

Quotations
14 ;;Quote: type-token--an utterance type is a set of utterance tokens, e.g., two utterances of 'A cow.' and 'A cow.'; ignores differences
16 ;;Quote: let E be the set of all possible, natural utterances; extends the set H of known utterances and H* of actual utterances
16+;;Quote: want to know what a word means in a language; includes all possible, natural utterances
27 ;;Quote: use-mention, using a word versus mentioning the word as a literal string
30 ;;Quote: if a locution sounds odd, it is an excellent clue to a regularity of the language; e.g., 'There is an apple good on my lap.'
34 ;;Quote: a natural language is about regularities, not rules; using a word (or screwdriver) incorrectly is not breaking a rule
35 ;;Quote: one is not taught one's native language, one learns it (before going to school); again, no rules of language
36 ;;Quote: the regularities found in a language are not sources of constraint
36 ;;Quote: a rule is easily confused with a regularity or observable fact
36+;;Quote: rules connect with plans or policies in a way that regularities do not; e.g., 'As a rule, the train is two minutes late.'
38 ;;Quote: to duplicate a behavior, need to know the intentions behind it; e.g., painting (random) numbers 18, 73, 21, 4 on your forehead
39 ;;Quote: to determine the meaning of 'good' need to know what 'mean' means, e.g., need to know what words have meaning in E
41 ;;Quote: if a theory neatly fits the facts, accept what seem to be the facts as in fact the facts about the matter
43 ;;Quote: if a word does not have meaning in an utterance, then stressing the word is not significant; e.g., 'to' in 'I want to go through Istanbul'
48 ;;Quote: a statement of the form '"p" iff p' says that the phrase 'p' can occur in this way; is part of its meaning
50 ;;Quote: for the semantic analysis of a language, just need the course of a child's life, not the entire world
76 ;;Quote: virtually all nondeviant utterances of E satisfy state regularities or projections to a standard case; confirmable in actual world
82 ;;Quote: in uttering an utterance a speaker is performing various speech acts; e.g., referring, asserting, stating, ordering
77 ;;Quote: a speech act must satisfy certain conditions; e.g., a corpse won't normally do for a greeting
92 ;;Quote: that a proper name can be learned simply by following a finger is a myth; e.g., what is pointed at?
95 ;;Quote: what a speaker means and what an element connotes to a hearer admit of enormous latitude
95+;;Quote: the meaning of something is between speakers and hearers; neither what was meant nor what was connoted
96 ;;Quote: the connotation of an element is the set of similarities noted by hearers of the language about its semantic regularities in the language
98 ;;Quote: nouns are either count nouns with singular and plural forms or mass nouns without; e.g., 'bean' and 'beans' vs. 'rice'
101 ;;Quote: use sound instead of sense to avoid oddity in '... and ... are one and the same cat.'; e.g., 'Witchgren' and 'Grenwitch'
101 ;;Quote: connotations vary widely because everyone knows different subsets of an element's distributive set in the corpus E
104 ;;Quote: a name is a fixed point of the language, not an abbreviated description; compare distributive sets for someone dying vs. changing sex
104 ;;Quote: can define a circle by drawing a circle or by drawing tangents, i.e., by pointing or description
104+;;Quote: can define a circle by many sets of tangents; erase them all and the circle vanishes; the same with Gautier and what is said about him
114 ;;Quote: the oldest example of meaning without reference is the Hindu grammarian's 'horns of a hare'
114 ;;Quote: 'this' and 'that' have different meanings but the same set of referents; hence meaning and reference are not the same
116 ;;Quote: in uttering 'Witchgren is on the mat' the speaker is making an assertion whether or not Witchgren is on the mat
117 ;;Quote: 'true' is a difficult word associated with all sorts of puzzles; can't be ignored
125 ;;Quote: sets of conditions are correlated with the elements of E that have meaning in English; such state regularities are simply a fact
125 ;;Quote: state regularities do not occur for nonsense sentences, nor for sentences used in the liar paradox
146 ;;Quote: meaning is essentially a matter of semantic regularities
146 ;;Quote: determine if an element has a meaning by its distributive set and contrastive set in the corpus
151 ;;Quote: words but not utterances generally have meaning in English; because a word, but not an utterance, has a distributive set in E
158 ;;Quote: the use of a word depends on more than its meaning; also phonetic, syntactic, morphology and etymology
183 ;;Quote: to explain a word's meaning need to characterize the relevant set of conditions associated with the utterances in its distributive set
185 ;;Quote: some words have a meaning in English with necessary and sufficient conditions; e.g., 'brother' vs. 'tiger', 'brotherlike freak', 'old brother'
186 ;;Quote: if a word has meaning in English, can always say something about it; may not able to explain it in detail or give a precise definition
187 ;;Quote: to determine a word's meaning need to determine its distributive and contrastive sets; grammatical characterization, attention to details
189 ;;Quote: need to determine the relevant, semantic differences between a word's distributive and contrastive sets; disambiguation
193 ;;Quote: the final step of determining a word's meaning is formulating a dictionary entry that summarizes its relevant semantic differences
204 ;;Quote: English adjectives have relative ranks that order multiple occurrences; e.g., 'a red wooden table'
237 ;;Quote: for most utterances using 'good', can ask 'What is good about that?'
239 ;;Quote: can debate whether or not something is 'good'; agrees with 'good' as answering to certain interests
247 ;;Quote: 'good' means answering to certain interests; 157 utterances in support, 3 utterances that fit poorly

Related Topics up

ThesaHelp: references t-z (309 items)
Group: data type   (34 topics, 730 quotes)
Topic: words in natural languages (40 items)
Topic: meaning by use (58 items)
Topic: is a name a literal string or a symbol (23 items)
Topic: rules (43 items)
Topic: language and life as a game (30 items)
Topic: non-constraining system (25 items)
Topic: philosophy of mind (78 items)
Group: meaning and truth   (18 topics, 634 quotes)
Topic: what is truth (67 items)
Topic: semantic truth; s iff p (34 items)
Topic: children vs. adults (33 items)
Topic: natural language as action or problem solving (29 items)
Topic: naming by pointing or recognition (13 items)
Topic: elements (22 items)
Topic: meaning by social context (33 items)
Topic: semantic networks (42 items)
Topic: meaning by language as a whole (26 items)
Topic: meaning vs. reference (49 items)
Topic: names as rigid designators (43 items)
Topic: names as abbreviations for descriptions (35 items)
Topic: declarative vs. procedural representation (54 items)
Topic: meaning without reference (31 items)
Topic: Liar's paradox and Russell's paradox (25 items)
Topic: meaning of words (21 items)

Collected barberCB 12/93
Copyright © 2002-2008 by C. Bradford Barber. All rights reserved.
Thesa is a trademark of C. Bradford Barber.