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DOCUMENT RESUME ED 024 929 AL 001 581 By- von Glasersfeld, Ernst; Notarmarco, Brune Ila Some Adjective Classes Derived from Correlational Grammar. Georgia Inst. for Research, Athens. Pub Date Oct 68 Note- 17p. EDRS Price MF-$0.25 HC-$0.95 Descriptor s- *Adjectives, Discourse Analysis, English, *Grammar, Kernel Sentences, Phrase Structure, Semantics, Sentence Structure, *Structural Analysis, Structural Grammar, Syntax Identifiers- *Correlational Grammar, Parsing The paper demonstrates the possibility of deriving, from the Correlational Grammar developed solely for the purpose of automatic sentence analysis, a classification of words that could be useful in language analysis and language teaching. A group of some 90 frequent English adiectives serves as example they are sorted into ten classes according to their behavior in strings of the type "John is easy to please," "John is eager to please," "John is likely to please," etc. It is suggested that the members of a least some of these classes show common semantic features that could be used to obtain intensional definitions which would theoretically confirm the empiricaliy derived extensional definitions supplied by correlational grammar. (Author/MK)

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Page 1: from the Correlational Grammar developed solely for the purpose of automatic sentence ... · 2013. 11. 6. · for the purpose of automatic sentence analysis, a classification of words

DOCUMENT RESUME

ED 024 929 AL 001 581

By- von Glasersfeld, Ernst; Notarmarco, Brune IlaSome Adjective Classes Derived from Correlational Grammar.Georgia Inst. for Research, Athens.Pub Date Oct 68Note- 17p.EDRS Price MF-$0.25 HC-$0.95Descriptor s- *Adjectives, Discourse Analysis, English, *Grammar, Kernel Sentences, Phrase Structure,Semantics, Sentence Structure, *Structural Analysis, Structural Grammar, Syntax

Identifiers- *Correlational Grammar, ParsingThe paper demonstrates the possibility of deriving, from the Correlational

Grammar developed solely for the purpose of automatic sentence analysis, aclassification of words that could be useful in language analysis and languageteaching. A group of some 90 frequent English adiectives serves as example they aresorted into ten classes according to their behavior in strings of the type "John iseasy to please," "John is eager to please," "John is likely to please," etc. It issuggested that the members of a least some of these classes show common semanticfeatures that could be used to obtain intensional definitions which would theoreticallyconfirm the empiricaliy derived extensional definitions supplied by correlationalgrammar. (Author/MK)

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SOME ADJECTIVE CLASSES

deriyed from

CORRELATIONAL GRAMMARIIMIIMMIIMI

Ernst von Glasersfeld

Brunella Notarmarco

U.S. DEPARTMENT OF HEALTH, EDUCATION & WELFARE

OFFICE OF EDUCATION

THIS DOCUMENT HAS BEEN REPRODUCED EXACTLY AS RECEIVED FROM THE

PERSON OR ORGANIZATION ORIGINATING IT. POINTS OF VIEW OR OPINIONS

STATED DO NOT NECESSARILY REPRESENT OFFICIAL OFFICE OF EDUCATION

POSITION OR POLICY.

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GRANT

AFOSR 1319-67

1,

CG

,October, 1968,

el.

SOME ADJECTIVE CLASSES

deriyed from

CORRELATIONAL GRAMMAR

Errst von Glasersfeld

Brunella Notarmarco

Informal Scientific Report

GEORGIA INSTITUTE FOR RESEARCH

711, C & 5 Bank Bldg.Athens, Ga. 30601

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ABSTR ACT

The paper demonstrates the possibility of de-

riving, from the Correlational Grammai ,evelo

solely for the purpose of automatiu sentence ana-

lysis, a classification of wards that could be

useful in language analysis and language teaching.

A group of some 90 frequent English adjectives

serves as example; they are sorted into ten clas-

ses according to their behaviour in strings of

the type "John is easy to please", "John is eager

to please", "John is likely to please", etc.

It is suggested that the members of at least

some of these classes show common semantic featur-

es that could be used to obtain intensional defi-

nitions which would theoretically confirm the em-

pirically derived extensional definitions supplied

by correlational grammar.

Note: This report has been submitted for publica-

tion to the editor of AMERICAN SPEECH.

O. 4

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Some Adjective Classes Derived from Correlational Grammar (

.Ernst von GlasersfeldBrunella Notarmarco

Georgia Institute for ResearchOctober, 1968

The tyoe of grammar that has come to be known as Correla-

tional Grammar was first thought of by the Italian philoso-

pher and cybernetician Silvio Ceccato. Although his basic

ideas concernilg the human use and the structure of language

were original's/ (1930-1946) by-products of an ambitious -

and not yet concluded - 'Jffort to analyse and operationally

define the 'intelligent' activities of the human mind, they

have since been applied to empirical language research (from

1947 on) and - as a hopeful approach - to eminently practic-

al problems such as Infownation Storage and Retrieval (1,2,3),

Machine Translation (4,5), and Nutomatic Parsing or Sentence

Analysis (6,7,8).

It was in the course of these applications that correla-

tional grammaz (CG) was developed and refined as a tool for

the handling of linguistically communicated information. Its

purpose was and is the interpretation of sentences as they

are found in texts, and not the generation of sentences; nor

does CG as such set out to be 'descriptive'; but, as we shaJi

try to demonstrate by means of a very restricted example, CG

implicitly contains the elements needed to establish a classi-

fication Of words that would go considerably further into

the realm of semantics than do the traditional ones and would

therefore, be useful both in language analysis and in teach-

ing.

Having been developed for the analysis of written text, CG

disregrds phonological characteristics. Since its purpose

was not description, it also disregards morphology and focuses

* The work summarised in this paper was carried out as partof a research project sponsored by the Air Force Office ofScientific Research (OAR) under Grant AFOSR 1319-67.

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exclusively on the syntactic possibilities of words and

word combinations as individual items. Projected on a giv-

en vocabulary, CG does not lead to a division into word-

classes, but merely to the characterisation of the words

in terms of their individual capacity for entering into

specific syntactic relations with other items.

The EG of present-day English which we have been de-

veloping contains a master table (still open-ended, be-

cause not all areas of English syntax have as yet been

analysed to the same extent) of syntactic relations, cal-

led Correlations, which are represented as ternary struct-

ures consisting of two correlated items, or Correlate (one

left-,hand item and one right-hand item), and the Correla-

tor responsible for the combination. The correlational

. possibilities of words are recorded by means of Correla-

tion IrJices (Ic's), which indicate the word's capacity

to function either as left-hand or as right-hand item in

the correlation represented by the particular index.

(e.g. The string "I do" represents the correlation2210N; the word "I" in the vocabulary, therefore,bears the Ic 2210N-1, where the final digit indicatesthat the word can function as left-hand item in thatcorrelation; the word "don bears the Ic 2210N-2, in-dicating'that word's possible function as right-handitem in the same correlation. The inverted form "doI" represents correlation 2210M, which has its ownIc's.)

Since CG necessarily contains a group of correlations

which reflect the relation found between an 'actor' and

the activity he performs (equivalent, in this respect, to

the subject-verb function of traditional grammar), zhe

class of nouns and nominal phrases that can function as

subjects of verbs is extensionally defined in the system;

i e. all subject-candidates bear at least one left-hand

index of an acr,or-activity correlation. Subject-nouns

bear such Ic's by a prior.i assignation in the system's

vocabulary, nominal phrases receive it 'in the course of

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the analysis procedure by an intricate subroutine which

we call 'Reclassification' (7)

To discriminate correlations, i.e. to isolate them as

prototypesexpressiveofparticularrelations,,werely oni5

tl-re native speaker's intuition and, where thisAuncertain

or inconclusive, on translation into another language.

To describe a particular correlation we use loosely

'transformational' paraphrases or, where this is not sa-

tisfactory, an ad hoc description of the relation.

Once a given vocabulary has been fully indexed with Ic's

which reflect the individual items' correlability, every

Ic or group of Ic's, by its extension in this vocabulary,

determines a word-class. Some of these classes coincide

more or less with those of traditipnal grammar; others re-

flect combinatorial characteristics which, hitheAo, have

not been considered as criteria for the formation of word-

classes. A classification of adjectives, tentatively de-

rived from the assignation of Ic's relevant in a problem

area that has been spotted by many linguists (10,11,12,13,

14) may serve as an example of this not yet exploited pos-

sibility of CG.

We took the adjectives contained in the vocabulary of

our parser and, to get a somewhat more representative col-

lection, supplemented with adjectives showing a frequency

'rank number above 49 in Present-Da American English (9).

Examining these adjectives then as to their possible oc-

currence in any of the ten constructions which CG dist-

inguishes for the string

nominal + to be 4- adjective 4. infinitive

we can list the candidates for

'each construction.

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A: "John is easy to please"

Paraphrase: to please John is easy.

The subject of the sentence is the object of the infinitive activity; the adj. concerns the activity + theobject; the infinitive cannot have a direct object.

Note 1: if a continuous form of "to be" is used, theconstruction switches to type I (John is being easy inorder, to please).

Note 2: not all the adj. in this list form construction A when they are modified by "too" or "enough"; someof them definitely turn the construction into type G(e.g. this film is too interesting to miss), others createan ambiguity of A and G which we cannot resolve (e.g. theproblem is too difficult to solve).

List A

bitter 2 (= painful)

(un) comfortabledifficulteasygreat 2 (= splendid)hard 2 (= difficult)impossible

(un)interestinglovely 2 (= delightful)nicequicksimple 1 (= uncomplicated)

(un)safeslow

e.g.

His assassination wasb. to accept.

The hotel was c. to reach.That car is d. to handle.John is easy to beat.The game was g. to watch.This score is h. to better.The mountain was i. to

climb.He may be if...to talk to.That road is 1. to drive.She is n. to be with.The job was q. to do.This question is s. to

answer.That path i s. to walk.Hepatitis is s. to cure.

B: "John is eager to please"

Parapnrase: we know of no satisfactory parsphrase.Katz and Postal (10) distinguish this construction fromtype A by the fact that it contains the underlying Pmarker 'John pleases someone'; but this is not satisfactoryfor our purpose, since this Pmarker can be found also inconstructions C, D, E, Ft H, and I.

The subject is the actor of the infinitive ac-4vity,the adj. specifies the subject's attitude towards theactivity and the activity is merely envisaged; the infinitive can have a direct object.

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_ 5 -

Note 3: a continuous form of "to be" is unlikely withthese adj. because they, in themselves, express a more orless continuous state; if it does occurlthe constructionswitches to type I (John is being eager in order to please).

Note 4: modification of tne adj. by "too" or "enough"does not change the construction.

List B

(un)ableanxiouscareful 2 (= anxious)*(decided)desirous.(disposed)(determined)

eager(un)fit 1 (= suitable)mad 2 (= eager)**prepared 1 (= willing)reluctantwild 2 (= eager)(un)willing

* n careless" does not function in this construction be-cause it has no meaning that corresponds to "careful 2".

** The specific ambiguity of "mad" creates an inevitableduality of interpretation in sentences such as "he wasmad to come": if we read "mad" as meaning eager, we getconstruction B; if we read it as mooning derannea, we get

construction E (it was mad nf him to come).(Some past pbrticiples, between brackets, were incluo-

ed as a samp2.e of their adjectival behaviour, which, inthis construction, supersedes the oassive interpretation;note that "prepared", in this sense, does not function aspast participle since it cannot tal<e a "by"-complement.)

C: "John was slow to understand"

Paraohrase: John was slow ABOUT understanding.

The subject is the actor of tne infinitive activity;the adj. specifies an aspect of the subjet's performance;the infinitive can have a direct object.

Note 1 applies;

Note 5: if the adj. is modified by "too" or "enough",the construction switches to type F (Jchn was too slowto be able to understand).

Lit C

quickslow

D: "John is likely to go away"

Paranhrase: THAT John goes away is likely.

The subject is the actor of the infinitive activity;the adj. concerns merely the occurrence or non-occurrenceof the event; the infinitive can have a direct object.

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(= without fLi1)'excect&O)(u4-1)known)

. Note tnat

.

;un)likely.

F.uce 1 (= without Fail)

unexLL-teL",oe used in tnis conot.L.-Ln.

11 unsure 11 cannot

_,uhn :Ls c-eva:: to iC. a

Priir,,,.,.nhrrise: to GO

. SI

The sublect is thJ infinitive activity;tne ad: 'expresses an f tne subject act.;

the infinitive con nev.:,, a air.;ct eot

No4-e 1 applies, b:.t of th adieotives in thislist allow an interpr::77.- bentence as typewithout the continuo ic c' "to se" (e.r. Jonn wasfrank t4., make an ur;do.,t-nain.- v.nich is unL-.m-

ciguoua and wou-o risle by chacK ofsemantic -.(=lat.,:ons and activi..y -and John was nice to get it ar wnicn sseMsto be unresolvably amoi:

No e 5 apo'ier,-.

Lict

ori.:3ht 2 (= clever)prillient 2 (= clever)

-,-e.L. .1. 4., 0

2 ( polite)clever(in) correctevil(un)fair (2)frankfresh 2 (= cheeky)good 3 (= morel)yrosa

1 (= deranged)ne-In (= unkind)ice

)reasonabieric:ht 1 (= correct)imple 2 (= naive)

F.tupid2 (= kind)

"John is younn to "LO crr.00l"

PF:rnnnrc:se: John is young Fi:S going to school.

The sub;ect is tne ac-Lor of tho inFiniivc activity;t.e adj specifies a raative in.-.d6qua-cy (or adequacy) oftne suoject; the infinitive cL. n-ve a direct object.

Note 1 applies;

Note 4 applies;

,

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VOW

Note 7: ModifiL'ull b "too", "e7.ough", "a bit", etc.,

almost any ac:j. fits eensteeczion; we nave no criterion for ci3tinguish5,n3 tne dO4eCtives that fit without modification f::om tnose that require it, and thelist we give is, therefo_?e, DoL1710 to be ieiosynCiatiC.

List F

bigdark 2 (colouring)earlyfair 3 (= blond)heavylarge

latelight 1 (weight)

oldsmallycong

e. c.

'eLe b. to be so childish.e_ne c. to play a Swede.

..ere early to arrive.13 Yi to be a Sicilian.

Jonn is H. to ride a pony.Tn3 wound was I. to heal

in one week.1. to get to town.

Tr-L. Jemb was 1. to cause alloamate.

is o. to aniler that race.to talk so much.

is young to be President.

G: "John is havy tt:

Pal.abhraSe: Jo- i hdy TO being lifted,

or, when it coma -t:o lifting hL;-,, John is h.

The subject is the ob'ect of tne infinitive activity;the adj. concerns the object; tr,e infinitive cannot have

a oirect object. Note tnet the oc,raphrase given for type

A is, iMpOsSible Of ChLr17,0S the lexical Mecning of

the 'adj. (e.g. "muenrooms are gcoo to eat" good 1, =

leasing does not mean "to &t mushrooms is good",where "good" is gooc 1, . beneficiLi).

Note 1 applies;

Note 7 aoni4aa.

List u

badbitter I (taste)beautifulcheap 1 (= inexpen.3ive)cleancold 1 (temp.)cool 1 (terp.)dark 1 (= not lit)different

economicalexcellentexpensive

eNAMV

Th:.t paper is b. to draw on..

Tne stalks are b. to eat.The house was b. to look at.A bicycle is c. to use.The handle was c. to tcuch.Tne icicle was c. to hold.The air was c. to breathe.The street was d. ,to cross.ineIr twins are d. to lookat.

The gar;Jga was C. to build.Tneir eggs are e. to eat.My car is e. to run.

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""" itr I I

r

L.

C130C -

nc,t 1 1/4

^

.....I L n,1

(= ner.c3mulold

,./1/4

pretty

t. AA. 1"-j 4 r ,

71 n a E3 L.; 7.; L a t

.

dL,

to..

f. C.: tri.Z

u. 44 4.; 4.0 gr

* ,WW...o4i*

44. 464 *4

t ,r 'or r.

tc iC, C...1 j.

4.4

. , .

iV cs-1:1 .

1

Th. :ub- ior't 1S

th.e ar4,i

a direct 0'04-4- cF

'4

17.2

.,

F. .4. .r 1.4 or

,.,c)rry

.

7 %,* f"..".. 2. ':

tiu -, .1 t.. 44

, TEJ ii,-)r r.ot the

of the sub ioc Ly.

.... . ul 6 1 ? ) E3 ID en .13 *

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able. Sentences that can be interpreted ih this way canoften be interpreted as type E as well (e.g. "the dog wasclever to get a biscuit" may mean that the dog was cleverin ordsr to get a biscuit, or that it was clever of himto get it); the ambiguity is always difficult and often impossible to resolve even by axaminati-1 of the wider context.

Note 4 aPplies;

Note 8: the adjectives that can occur in this construction are very numerous; m-Jny could be excluded if

one were dealing with scientific texts only; but sincevery many may occur in writing of colloquial style, wehere merely indicate those lists which we believe to beabsolu+ely excluded.

Lists B (cf. Note 3) and D are excluded;

Lists A, C, H, are excluced if the auxiliary is,notin the cortinuous form.

.10 Cif

"It is sad to go away"

Paraphrase: to go away is sad.

The nominalised infinitive is the subject of the sentence; the "it" functiono as 'subject marker'; the adj.concerns the nominaliseo infinitive; the infinitive canhave a direct object.

Note that in sentences such as "it is early to go away",the "it" is not a subject marker (paraphrase type J is notpossible) but has a specific pronominal function which wecall 'ambiental' because the pronoun stands for an aspectof temporal or meteorological ambience; this last example,therefore, is of construction G (it is early with regard togoing away, or, it is early for the purpose of going away).

Lists B (except past participles), D, F, are absolutely excluded.

List J

beautifulbitter 2bright 2brilliant 2carelesscheep 1,2(un)civilclever(un) comfortablecomplicated(in) correctdear 2differentdifficulteasy

economicalevil(in) expensivefar(un)fair (2)frankfresh 2good 1,2,3great 2grosshard 2impossible(un)interestingirresponsible(un)just(un)kind

lovely 2mad 1mean 1,2nice(im)practicalquick(un)reasonableright 1sad(un) safesimple 1,2slowsplendidstupidsweet 2wrong

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10

An investigation of this kind, carried out by two or

three speakers of a language (*), cannot possibly be con-

sidered definitive. It inevitably contains idiosyncratic

omissions and inclusions. An analytical examination of a

large corpus of contemporary texts would certainly help

to clean up.these tentative lists; but that is by no means

all that remains to be done.

Having isolated ten types of nominal + to be + ad-

ective + infinitive string and having sorted the ad-.

jectives of a limited collection on the basis of their

possible oCcurrence in the individual types of string,

we find that the degree of certainty with which we can

determine' the type of construction from the adjective

occurring in the string varies a great deal. The adject-

ives of List B, for instance, when inserted in the aboveutel2cw.v.iocal

string, uniVocally determine the string as type B, pro-

vided there is no continuous form of "to be".

With the adjectives of the other lists this is not so;

most of them can occur in two, some in three different

constructions. This means that, if the adjective found in

the string is not one of List B, we cannot be certain -

at least by looking at the adjective alone - which type of

. .construction the sentence has. However, the classifica-

tion of adjectives does reduce the possibilities of inter-

pretation; and this is a step forward from having merely

one generic class of adjectives and ten types of Construct-

ion into which, theoretically, every one of them can fit:

it is obviously easier to devise semantic criteria of dis-

ambiguation when the syntactically possible interpreta-

tions have been reduced from ten to two or three.

Moreover, we are fairly sure that semantic analysis of

the adjectives belonging to one and the same list can (for

1

* We gratefully acknowledge the suggestions and correctionsDr. Brian Dutton supplied during the preparation of thispaper.

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1

nnownr,..............v

some of the lists at least) bring to light a common se-

mantic element that could serve in the intensional defini-

tion of the particular adjective class. This is certainly

so for List B, where the common element is that the adject-

ives express an attitude towards an envisaged activitj; it

is so for List D, where the adjectives express an assess-

ment of probability; and it is so for List E, where the

adjectives express a judgemeni based on the actor's activ-

ity; and for List H, where the adjectives express the kind

of state of which only sentient subjects are capable.

What we have presented here, thus, should be considered

as little more than the suggestion of a method and, per-

haps, a tool for further investigation.

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Referenceslainilmoommo.....10

1) M. Coyaud, Introduction 6 l'étude des langages documen-taires, C.N.R.S., Paris (France), 1964.

2) P. Terzi, The Operational Structure of a Possible FutureClassification, International Congress of Technicaland Scientific Information, Rome (Italy), 1964.

3)E.de Grolier, On the Theoretical Basis of Information Re-trieval Systems, Final Report, Contract AF 61(052)-505, Paris (France), 1965.

4) S. Ceccato et al., Linguistic Analysis and Programmingfor Machine Translation, Gordon & Breach, New. York,1962.

5) . Mechanical Translation: the Correlational Solution,Cybernetics Center, university of Milan (Italy),1963.

6) E.v.GlasersFeld, P.P.Pisani, J.Burns, Multistore - A Pro-cedure for Correlational Analysis, IDAMI Language Re-search Section, Milan (Italy), 1965.

7) - et al., Automatic English Sentence Analysis, FinalScientific Report, ibid., 1966;

8) v.Glasersfeld, An Approach to the Semantics of Pre-positions, Proceedings of the Symposium on computer-Related Semantic Analysis (Las Vegas), Wayne Sta.',eUniversity, 1967.

9) Henry Ku6era and W.Nelson Francis, Computational Analysisof Present-Day American English, Brown University,1967.

10) J.J.Katz and P.M.Postal, An Integrated Theory of Lin-guistic Description, M.I.T. Press, 1964.

11) R.D.Huddleston et al., Sentence and Clause in ScientificEnglish, Communication Researuh Centre, UniversityCollege, London (England), 1968.

12) R.B.Lees, The Grammar of English Nominalizations, IndianaUniversity, 1966.

13) D.L.Bolinger, Adjectives in English: Attribution and Pre-dication, Lingua 18, 1967.

14) Z. Vendler, The Transformational Grammar of English Ad-jectives, University of Pennsylvania, 1963.

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UnclassifiedSecurity Classification

DOCUMENT CONTROL DATA R &(Security classification of title, body of abstract and Indexing annotation must be entered when the overall report Is clasailled

I. ORIGINATING ACTIVITY (Corporate author)Georgia Institute for Research711, C & S Bank Bldg.ATHENS, Ga., 30601

2a. REPORT SECURITY CLASSIFICATION

,

zb. GROUP

3. REPORT TITLE

SOME ADJECTIVE CLASSES DERIVED FROM CORRELATIONAL GRAMMAR

4. DESCRIPTIVE NOTES (Type of report and inclusive dates)

scientific; informal5. AUTHORIS) (First name, middle initial, last name)

Ernst von GlasersfeldBrunelle Notarmarco

6. REPORT DATE

10 October, 19687a. TOTAL NO, OF PAGES

127b. NO, OF REFS i

14* CONTRACT OR GRANT NO.

AFOSR 1319-67b. PROJECT NO. 9769-05 .

C.

d.

ea. ORIGINATOR'S REPORT NUMISERISI

CG-1

,

lib. OTHER REPORT NO(S/ (Any other numbers that may be assignedthis report)

10. DISTRIBUTION STATEMENT

Distribution of this document is unlimited

11. SUPPLEMENTARY NOTES I. SPONSORINGWILITARY ACTIVITYAir Force Office of Scientific Res.Directorate of Information SciencesArlington, Virginia 22209

13. ABSTRACT

The paper demonstrates the possibilityCorrelational Grammar developed exclusivelymatic sentence analysis, a classificationful in language analysis and languagefrequent English adjectives serves as10 classes according to their behaviouris easy to please", "John is eager toplease", etc. It is suggested that thethese classes show common semantic featurestain,intensional definitions which wouldpirically derived extensional definitionsgrammar.

of deriving, from thefor the purpose of auto-

of words that could be use-teaching. A group of some 90example; they are sorted intoin strings of the type "John

please", "John is likely to .

members of at least some ofthat could be used to ob-

theoretically confirm the em-supplied by correlational

.

D D I 'NT'65 1 4 7 3 UnclassifiedSecurity Cluartificatinti

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1 4.

Secun 1assificationAmmornommilmmilmo

K EY WORDS

inummeirommonsmpumommempormamwoommonwoommsoommassiromummorLMKA LINK S LINK C

ROLE W T ROLE wr

English grammarCorrelational grammarWord classesParsing (sentence analysis)SemanticsNatural language syntaxLinguistics

I.

r

ROLE W T

UnclassifiedSecurity Classification