Journal
of
Computational Linguistics
M j c I 01--i C I J , ~ J. r,. T , V E R
OF T H EA S S O C I A T I O N
FORCOMPUTATIONAL
LINGUlSTICS
WE
12
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APRIL
1975
C O N T E N T S
E f l i t o r i a l Review: Experimental P r o c e d u r e
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2Z n f o r m a t i o n R e t r i e v a l C o u r s e .
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5b&nguiskics Summer S c h o o l
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6Xhdexing Seminar
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Bibliography. . . .
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9~ ~ e r s h i p D i r e c t o x y 1 9 1 3 4
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1 3 m--JAPBNTravel P a c k a g e.
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70LOLAR B i b l i o g r a p h y o n A R P A N e t w o r k
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7 2C
J O U R N A L QF COMPUTATIONAL LINGUISTICS i s p u b 1 i s h e dC e n t e r for A p p l i e d L i n g u i _ s t i c s f o r t h e ~ s s o e i a t - i o n fo1-
~ h t i o n a l Linguistics.
Bt
D a v i d G H a y s , P r o f e s s o r of L i n g u i s t i c s a n d ofS c i e n c e , State U n i v e r s i t y of N e w Y o r k , Buffalo.
STAFF: Brian Phillips, Assistant; J a c q u i n B r e n d l e
B%mry.
Z34.G EDITOR: A . H o o d Roberts, D e p u t y D i l r e c t o r , Center
Xied
Linguistics.T:
N a n c y J o k o v i c h .TON AND SUBSCRIPTION ADDRESS: 1611 N o r t h Kent S t r e e t ,
~ t d o n , V i r g i n i a 2 2 2 0 9 .
C o p y r i qh t 1 9 7 5
American
Journal
of
Carnputational
Linguistics
~ i . 7 + 0 f i ~h C' 1 5 2AN
EXPERIMENTIN
PROCEDURES F O RE D I T O R I A L
R E V I E N
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does notmaintain
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ONST h e a u t h o r can submj-t a
summary
f a r tha same ~ c v i ( > Was
f o r al o n g
c o n t r i h ~ t i o n or a f u l l text. F o rraview
of
a short con- tributionin
E u l l , f o u r c o p i e s arp n e e d e d .The
pho t o q r a p h a h l cversion
must h n v ca
summary
on
i . t s f i r 3 t paqc!, 1 ) e g i n n i . n ~ ~ 4 "from the t o p
0 5
thc sbect.Any t e x t p to 2 0 payC2G i s short; a n y t c x t over 4 0 pager; i s
long. B e t w e e n 2 0 a n d 4 0 p a g c s , c o n t r i . b u t i o n s a r t s
handled
a ntheir merits; some may h e hcTd
for
combinationon
a syrnpasiumAmerican Journal of Computational
Linguistics
M i ~~~~~1 C ~ O 5,SHORT COURSE ON
A N D
3 Y N A M I C
R E T R I E V A L
L I B R A R Y
P R O C E S S I N G
C O R N E L L
UNIVERSITY
LECTIJRER Gerard Salton
TEXT D y n a m i c Information and L i b r a r y Processing
CONTENT New techniques for automatic i n d e x i n g and d o c u m e n t
c o n t e n t a n a l y s i s term classification, optimum
thesaurus construction, document
classification
andf i l e organization, i n t e r a c t i v e search and r e t r i e v a l ,
f i l e g r o w t h and document retirement m e t h o d ~ l o q y ,
dynamic c o l l e c t i o n control
The text, by S a l t o n . is in press w=th Prentice ~ a l i .
DETAILS
D i r e c t o r of Continuing EducationCollege of Engineering
Cornell g n i v e r s i t y
U p s o n Hall
I t h a c a , N e w York 1 4 8 5 3
American Journal
of
Computational
Linguistics
~i c r o f i tho 1 5 : 6THIRD
INTERNATIONAL SUMMER S C H O O L I NPOLYTECHNIC
OF
CENTRALLONDON
35 Marylebone RoadLondon NWl, 5 L S
JULY 2 1
-
A l J G U S T 8, 19-15A b a s i s f o r f u r t h e r a p p l i c a t i o n a n d r e s e a r c h i n l a n g u a g e a n d l i n g u i s t i c s , o p e n t o t e a c h e r s , t r a n s l a t ~ r s , b e g i n n e r s , and a d v a n c e d s t u d e n t s . S o m e knowledge o f a t l e a s t one f o r e i g n l a n g u a g e i s d e s i r a b l e but n o t e s s e n t i a l . B e g i n n e r s and t h o s c w i t h s o m e p r e v i o u s k n o w l e d q e a r e s e p a r a t e d .
CONTENT
P r i n c i p l e s p h o n o l o g y , grammar, a n d s e m a n t i c s ; a p p l i c a t i o n s i n t r a n s l a t i o n t e a c h i n g , r e m e d i a l work, and c o m n u n i r a t i o n s .
O p t i o n s o f f e r e d i n l i t e r a r y t r a n s l a t i o n and translation t e c h - n i q u e ; d y s l e x i a ; t e a c h i n g a d u l t i . l l i t e r a t e s ; l e x i c o g r a p h y ;
c o m p a r a t i v e a n d h i s t o r i c a l l i n g u i s t i c s ; p h o n e t i c s . S u b j e c t
t o
e n r o l l m e n t , a l s o i n C h i n e s e , B a s q u e , and R u s s i a n ( b e g i n n e r s )ARRANGEMENTS
S i n g l e s t u d y bedrooms
a t
the P o l y t e c h n i c a r e a v a i l a b l e t o e a r l y a p p l i c a n t s a t h 1 0 . 5 0 a week (531.50 f u r t h e c o u r s e ) .P a r t i c i p a n t s w i l l h a v e t h e u s e o f t h e library
of
t h e S c h o o l o f Modern L a n g u a g e s which i s p a r t i c u l a r l y w e l l - s t o c k e d with l i n -g u i s t i c s book9
and
j o u r n a l s ,The c o u r s e c o n s i s t s of 4 - 5 h o u r s of l e c t u r e s a n d s e m i n a r s d a i l y Monday t o F r i d a y . Groups o f p a r t i c i p a n t s w i t h common i n t e r e s t s
and requirementS a r e p r o p o s e d . Group work w i l l be s u p p l e m e n t e d by plenary s e s s i o n s .
STAFF
A l e x Auswaks i s c o u r s e d i r e c t o r , L e c t u r e r s a r e m e m b e r s o f the
PCL staff and graduate s k u d e n t s of the PCL Post-Graduate
American Journal of Computationd Linguistics
M i c r o f i C ~ C1 5 7June 5
-
7 , 1 9 7 5o r g a n i z e d b y ~ a k i o n a l Federation of A b s t r a c t i n g & I n d e x i n g
S e r v i c e s
-
3 4 0 1 M a r k e t Street-
P h i l a d e l p h i aL o c a t i on
L e c t u r e r s
American D e n t a l ~ s s o c i a t i o n
211 East Chicago Avenue, C h i c a g o
E . H. B r e n n e r , American P e t r o l e u m I n s t i t u t e
Ann
S c h a b a s , U n i v e r s i t y o f T o r o n t oTefko S a r a c e v i c , C a s e W e s t e r n R e s e r v e u n i v e r s i t y
Martha E . W i l l i a m s , U n i v e r s i t y of I l l i n o i s
T o n i Carbo Bearman, n f a i s
Vocabularies-
Systems and formats
~ f f e c t s on retrieval
I n d e x i n g d e v e l o p m e n t s
of
tfie p a s t t w e n t y y e a r s i n r e l a t i o nt o
- t h e e n t i r e f i e l d of i n f o r m a t i o n a n d l i b r a r y s c i e n c e ; case his-
tories. An i n t r o d u c t i o n for b e g i n n e r s a n d a p e r s p e c t i v e re-
v i e w for t h e m o r e advanced. ~ k a s s i f i c a t j L o n , i n d e x i n e , s u b j e c t
h e a d i n g s , t e r m s , descriptors; c l a s s i f i c a t i o n s c h e m e s , l i s t s of
s u b j e c t h e a d i n g s , t h e s a u r i ; effect of t h e c o m p u t e r ; serial and
i n v e r t e d f i l e s ; s u b j e c t and coordinate indexing.
American
Journal
of
Camputationai
Linguistics
M I k r of i c h c 1 5 8NFAIS
ADOPTS A PLANFOR
A S Y S T E M OFD O C U M E N T
A C C E S S
Anyone would be able t o g e t c o p y
of
ariy j o u r n a l article,c o n f e r e n c e p a p e r , d i s s e r t a t i o n , r e p o r t , map, b o o k , o r o t h e r
document c i t e d i n t h e i n d e x i n g o r a b s t r a c t i n g p u b l i c a t i o n of
any m e m b e r of n f a i s , i f
the
N a t i o n a l Cdrnrnission o n L i b r a r i e s a n d I n f o r m a t i o n S c i e n c e i n c l u d e si n
i t s p r o g r a m a p l a n a p p r o v e dby the n f a i s b o a r d o f d i r e c t o r s o n March 2 , f o l l o w i n g a two
year s t u a y .
Member s e r v i c e s would f u r n i s h c o p i e s o f t h e d o c u m e n t s t h e y
c i t e t o s e l e c t e d r e s e a r c h l i b r a r i e s , C u s t o m e r s would pay f o r
c o p i e s , t a k i n g care o f t h e l i b r a r i e s and c o p y r i g h t h o l d e r s
alike.
The
p l a h i s f o r t h e government t o pay d e v e l o p m e n t a n d management c o s t s f o r t h e s y s t e m .A copy o f t h e p o s i t i o n p a p e r d e s c r i b i n g t h e p l a n c a n be o b t a i n e d
from t h e N a t i o n a l F e d e r a t i o n of I n d e x i n g and A b s t r a c t i n g
C a r o l y n G a t s o f f
~ a t i o n a l T e c f 1 n i ~ ~ 3 . 1 Xfifer m a t i o n S C P ~ V ~ . C ; ; . C
Springfield, VA.
R e p o r t No. h l ~ l S / P S - 7 5 / 0 3 2 / 3 G A P C $ 2 5 , M F $ 3 3 1 9 6 4
-
O c t . 1 , 9 7 4 The bibliography c o n t a m s 108 s c l c c t o d abstracts o.f f e d e r a l l y f u n d e d r e s e a r c h reports c o n c e r n i n g c o m p u t a t i o n a l linguistics.Some of t h e appljcatxons axe in the fields of n a t u r a l lang'uage a n a l y s i s and information r e t r i e v a l .
Mf 15
: 9 P h o n e t i c s : RecoynitlonWayne A . Lea
S p e r f y UiNIVAC
Defense S y s t e m s D i v i s i o n
S t P a u l , Minnesota
R e p o r t -No. P X - 1 1 0 8 7 , O c t o b e r 1 9 7 4 .
Prosodic features detect b o u n d a r i es between p l i r a s c s ; stressed s y l l a b l e s are located w i t h i n e a c h p h r a s e , a n d a n a l - i a l y s i s i s done w l t h i n s t r e s s e d syllables. Listeners p e r c e p t i o n s of stressed syl-
lables corresponded t o locations of stressed syllables o b t a i n e d
from
p r o s o d i c %a'tures. Results +bowed that a u t o m a t i c phone c a t e - c ~ s r i z a t i o n i s much more accurate in stressed syllables. S t r e s s e dvowels t e n d e d to be e q u a l l y spaced i n t i m e , b u t the n u n h e r of m t e r -
V e n i n g u n s t r e s s e d syllables h a d a more pro~iirrfi~nf e f f e c t ' c n intet-
s t r e s s i n t e r v a l t h a n expected. P r o s o d i c features appear. t o be u s e - f u l f o r providing cues t o s e n t e n c e t y p e , syntactic b r a c k e t i n 3 occur- r w c e s of c o o r d i n a t i o n and s u b o r d i r l a t i o p , a n d s p e c l f i c sernantlc
The B e l l S y s t e m T c c h n l e a l J ~ u r n a l , 5 4 / 3 , 4 8 5 - 5 0 6 . M a r c 1 J 3 7 5
Describing a computer model of t h e human vocal c o r d s a n d Vocal
t r a c t t h a t i s a m e n a b l e t o dynamic c o n t r o l b y parameters d i r e c t l y
i d e n t i f i e d i n human p h y s i o l o g y . The c o n t r o l f o r m a t p r o v i d e s an
efficient
,
p a r s i m a r i i o u s d e s c r i p t i o n o f s p e e c h i n f o r m a t i o n . C o n t r o l p a r a m e t e r s r e p r e s e n t s u u g l o t t a l l u n g p r e s s u r e , v o c a l - c o r d tension a n d rest o p e n i n g , v o c a l - t r a c t shape, and nasal c o u p l i n g . Vowel- c o n s o n a n t - v o w e l s y l l a b l e s are synthesi z e d usirly these nqmts t o demonstrate t h e dynamic b e h a v i o r o f t h e c o r d / t r a c t m o d e l . I n h e r e n tp r o p e r t i e s of the model d u p l i c a t e phenomen'a o b ~ e r v e d i n human s p e e c h ;
i n p a r t i c u l a r , c o r d / t r a c t acoustic i n t e r a c t i o n , c o r d v i b r a t ~ o n , a n d
t r a c t - w a l l r a d i a t i - o n d u r i n g o c c l u s i o n , and v o i c i n g onsct-offset be- h a v i o r . An approach t o d e r i v e t h e p ' h y 9 ~ o l o g i c a l c o n t c o l s a u t o m a t i c - a l l y from t h e p r i n t e d t e x t i s d e s c r i b e d , a n d s e n t e n c e - l e n g t h s y n -
t h e s i s obtained from a p r e l i m i n a r y s y s t e m i s p r e s e n t e d
~ e x i c o q r a p h y : C o n c o r d a n c e
LONCORDANCES
IN THESEVENTIES
W. Ingrafn
u n i v e r s i t y o f M l c h l q a n
Ann A r b o r
The c o m p u t e s h a s e l i m i n a w d much o f t h e d r u d g e r y of compll-
x n g a c d n c o r d a n c e . Ilowever, t h e r e i s often a l a c k of e f f o r t i n
D a v ~ d G . Hays
State U n i v e r s i t y of New York
B u f f a l o
E n c y c l o p e d i a of C o m p u t e r S c i ' e o c e a n d s . T c c h n o l o g y , e d i t e d b y J a c k
B e l z e r , A l b e r t G. H o l z m a n , a n d A l l e n K e n t . Marcel Q c k k e r , I n c .
N e w Y o r k , I n p r e s s . M a n u s c r i p t A u g u s t 1 9 7 4 .
O r i g i n s : traditional. Form: A finite set of; class s y m b o l s and a mapping of a f i n i t e o r i n f i n i t e s e t of s t r i n g s o n t o the s c t of c l a s s
symbols; r u l e s . w i t h f e a t u r e s , a r u l e i s a f e a t u r e p a i r ; some
features appear i n r u s e s a s dependent features, some d o not.
Algorithms: pushdown generator, three p a r s e r s : P o l i s h prefix no-
tation, single parse, all p o s s i b l e . The s e c o n d u s e s p r e c e d e n c e ,
t h e t h i r d uses a wanted list. Weak e q u i v a l e n c e with constituency.
Natural choice of g o v e r n o r s i n phrase-structure grammars. Trans- formation: e. g.
,
p a s s i v e is "Agent (Noun) ; F I R S T " . Dependency grammar f p r p r e d i c a t e logic; f o r a programming l a n g u a g e . " I nprogramming as i n logic, grammar and quantification have d i f f e r e n t
structures. 'I
Noriko Urneda and Ryunep Teranishi
Be11 Laboratories Kyushu Institute
of
D e s l g nMurray Hill, New Jersey Fukubka, Japan
I E C E T r a n s a c r i o n s on A c o u s t i c s , S p e c c h
,
a n d S i g n a l S r a e c s s i n g ,? i S S P - ? 3 / 2 , 1 8 3 - / 8 8 , A p r i l 1 9 7 5
The parser h q n d l e s u n i q u e problems for a s p e e c h production
system, especially of phrase-structure analysis I n regard to stress
and pause assignments. The parsing program- consists of a diction-
a r y of a b o u t 2 5 0 0 most f r e q u e n t l y u s e d words, a s i m p l e s y n t a c t i c a n a l y z e r a n d a breath-group.delimiter. The s y n t a c t i c analyzer,
w i t h t h e assistance of i n f o m a t i o n s k o r e d in t h e dictionary, d r v i d e s
t h e s e n t e n c e i n t o phrases, and* assigns pause markers at major syn-
tactic boundaries; the breath-group delimiter decides actual pauses
and s e n t e n c e - s t r e s s . The output of the parsing program c o n s i s t s of
a sequence of phonemes w l t h stress marks a n d o f p h r a s e termination
maxks, These letters and marks aTe kransforhe6 into vocal tract shapes, duration, anti pitch signals in the s u b s e q u e n t p a r t of the
synthesis system. The parsing program, written in the PL/I languaqe,
A l l a n M. Colllns, a n d E l e a n o r H . Waknock Bolt Beranek and Newman
Inc;.
Cambrldgo, Massachusetts
R e p o r t N b . B B N - 2 8 3 3 , M a y 1 9 7 4
T h e w o ~ k on s e m a n t i c networks i n v o l v e s t h r e e d i s t i n c t areas:
i n f e r e n c e s , map d i s p l a y s , and E n g l i s h c o m ~ r e h e n s i o n . I n f e r e n c e
s t r a t e g i e s i m p l e m e n t e d i n SCHOLAR ific1u.de different t y p e s of de- ductivg, n e g a t i v e , a n d f u n c t i o n a l i n f e r e n c e s . The, g r a p h i c s pack-
age allows users t o a s k q a e s t i o n s a n d g i v e commands in English to c o n t r ~ l SCHOLAR'S m a p display, which is tied i n t o t h e s e m a n t i c n e t - work on S o u t h American g e o g r a p h y . With partial s u p p o r t from this
c o n t r a c t , w e a l s o developed a n English C o m p r e h e n s i o n S y s t e m , u t i l - i z i n g a d a t a b a s e on t h e ARPA n e t w o r k , Unlike g e o g r a p h y , most
questions about t h e ARPA network pertain t o a c t i o n s a n d p r o c e d u r e s i n v o l v i n g c o m p l i c a t e d E n g l i s h s e n t e n c e s * t r u c t u r e , n e c c s s i k a t i n y s o p h i s t i c a t e d p a r s i n g a n d r e t r i e v a l s t r a t e g i e s .
Mf 15 :' 12 Semantics
-
D i s c o u r s eSOLAR
(A,
SEMANTICALLY
'ORI
E N T E DLEXICAL ARCH
I VE):
C U R R E N T STATUS
AND
PLANST . D i l l e r , and J. Q l n e y
S y s t e m Development Corporatxon
S a n t a Monlca, Californza
C o r n p u t c r s 1 n t h e I I ' u m a n i t a e s 8 , 5 - G , 3 2 3 - 3 1 9 . S c p t - N o v . 1 3 7 4
SOLAR is d e s i g n e d to p e r q i t a x c s c a r c h e r to access a broad
range of semantic data k e y e d to i n d i v i d u a l words. T h e r e are seven
logleal fiies: (1) semantic analysis; ( 2 ) e x p l a n a t o r y notes f o r
t3?e d e s c r i p t i v e constants used sn the semantic a n a l y s i s ; ( 3 ) con-
c e p t u a l a n a l y s r s of t h e ,notions i n v h v e d b y t h e descriptive con-
s t a n t s ; ( 4 ) c o l l o c a t i o n a l features correlated with particular word
Semantics
---
:C o m p r e h c n s i ~ n
-
-Bertram C . B r u c e
B o l t Beraneck and Newan I n c
Cambridge,
Mass.
R e p o r t N o . 2 9 7 3 , B o l t B e r a n e k a n d Newrnan I n c . J a n u a r y 1 9 7 5
Knowledge a b o u t i n t e n t i o n a l l o w s
u s
t o r e c o g n i z e t h edis-
t i n c t i o n between requests a n d
orders,
promises a n d t h r e a t s , o rl i e s and
in£
o r m i n g s.
T o r e c o g n i z e i n t e n t i o m i n b e h a v i o r , speecho r o t h e r w i s e , r e q u i r e s , a model
of
the beliefsof
o t h e r s , how ac-t i o n s fit
together
i n t o
l a r g e r u n i t s , a n d haw a s p e c t sof
an actionare d e t e r m i ~ ~ e d by i n t e n t l c n s a n d beliefs. A t h e c a y o f p e r s o n a l
C a u s a t i o n ha,; primitives t o describe the s o c i a l a s p e c t of a n ac-
t i o n . I t d e f i n e s " S o c i a l a c t i o n paradigms" (SAP'S) i n
terms
of
social
actions. The SAP'S p r o v i d e a structuref a r
e p i s o d e sanalogous t o t h e s t r u c t u r e a grammar provides
for
sentences.
Roger C. Schank
Yale University
In: T h e N a t u r e of H u m a n M e m o r y , e d i t e d b y C . C o f e r a n d H . . 4 t k i n s c i n . W . H . Freeman Co.
,
1x1 p r e s s . M a n u s c r i p t F e ~ ~ r u a r y 1 9 7 5 )Woods, W i n o g r a d , Simrnons, and o t h e r s b u i l d s e r n a n t l C routines t o o p e r a t e on p a r s e r o u t p u t . S c h a n k ,
Wilks,
a n d R i e s b e c k b u l l 6s e m a n t i c processors that call parsers only on fallure. All t h e s e
a u t h o r s r e c o g n i z e t h a t l i n g u i s t i c processing
is
I n s e p a r a b l e frommemory.
U n d e r s t a n d i n g i s t h e a t t a c h m e n t o r w h a t i s expliclt in a text t o what is already known. I n f e r e n c e s a r e what i slikely
t o be t r u e about a n i n p u t but not necessarily so. Conceptual d e p e n d -ency is a memory
model
w i t h11
p r i m i t i v e a c t s a n d 4kinds
ofc a u s a l l i n k s . Memory i s a morass of episodies, linked i n t i m e a n d s p a c e , a c c e s s i b l e by t h e c o n c e p t s t h a t - m a k e them u p . I n f e r e n c e s a r e g e n e r a l i z e d episodes, c a l l e d scripts: p l a n s t f i a t h a v e been
David G . Hays
S t a t e U n i v e r s i t y of New York B u f f a l o
E p c y c l o p e d l a of L i b r a r y a n d I n f o r m a P ~ o n S c i e n c e , e d i t e d by A 2 l e n
K e n t a n d H a r o l d L a n c o u r . Marcel b e k k e r ,I I n c .
,
N e w Y o r k.
I n ~ r e s s.
M a n u s c r z p t F e b x u a x y 1 9 7 5 .
Network s t o r a g e t e n d s t o o b v i a t e c a l c u l a t i o n , b u t a h y b r i d s y s t e m
adds a n e x t e r n a l p r o c e s s o r w h i c h c a n s e e t h e n e t w o r k in broad p e r - s p e c t i v e . An a c t i v e n e t w o r k h a s a p r o c e s s o r a t e a c h n o d e ; a n e x -
ternal
processsets
initial
and terminal
c o n d i t i o n s . I n h e r i t a n c ei s a g l o b a l process, communicated on p a r a d i g m a t i c l i n k s ; i n d i r e c t a d d r e s s i n g u s e s t h e m inversely. ~ e p r e s e n t a t i o n i s t h e r e l a t i o n
between a
single
m a e a n d a s u b n e t w o r k , e . g . a d e f i n r t l o n . P r l m i -t i v e nodes a r e defined e x t e r n a l l y ; n o n p r i m i t i v e s are c o n s t r u c t e d ,
e . g . a form h a s c o l o r a n d s h a p e . P l a c e m e n t l i n k s o b j e c t , position,
and moment. The mind consists of LTM,
STM
.
CPU; t h e CPUforms
a ni d e a i n STM t h a t c o r r e s p o n d s t o t h e c o n t e n t o f t h e s e n s e organs and
LTM e t c . Desires s t i m u l a t e tohe CPU t o link ideas with p u r p o s e a r c s . C a u s a l i t y l i n k s systems w i t h o u t
specifying
mechanisms o f interaction.Applications
in
r n f o r m a t i o n L e t r i e v a l and r o b o t i c s . References: LNR Research Group, S c h a n k .L i n g u i s t i c s : H i s t o r i c a l
R u d o l f H i r s c h m a n n
University of i o u t h e r n C a l i f o r n i a
C o m p u t e r s ~n t h e H u m a n l t l e s 8 , 5 - 6 , 2 7 9 - 2 8 4 S e p t
-
J i o v . 1 9 7 4 .The t o p i c s c o v e r e d are: (1) C o n f e r e n c e s a n d p u b l i s h e d re-
Computation
--
: ZnfcrcnccR . C . S s h a n k , a n d C. J. K i c y c r , T I 1
S t a n f o r d University [ N o w : Yale ( R C S ) , U-. of M a r y l a n d (CJR) ]
A r t i f i c i a l I n t t ! l , l i g . c n c e 5 , 4 , 3 7 ' 3 - 4 2 2 . 2 9 7 . 4
The n o t i o n of computer u n d e r s t a n d i n g of n a t u r a l l a n g u a g e is
examined, relative t o i n f e r e n c e m e ~ h a n l s ~ s d c ~ i g n c d t o f u n c t i o n
In a language f r e e conceptual b a s e ( C o n c e p t u a l D e p e n d e n c y )
.
?'heconceptual analysis or a n a t u r a l l a n g u a g e s e n t e n c e i n t o t h i s con- c e p t u a l base and the n a t u r e o f the memory w h l c h s t o r e s a n d . oper-
ates upon these c o n c e p t u a l s t r u c t u r e s a r e d c s c x i h e d both from t h e o r e t i c a l a n d practical standpoints. T h e v a x r o u s t y p e s of I n -
ferences which c a n be made d u r l n g a n d a f t e r t h e conceptual a n a l -
y s i s of a s e n t e n c e a r e d e f i n e d .
T r a n s l a t i o n
OPTIMIZATION
O F
SYSTRAN
SYSTEMPeter P. T o m a , Ludek A . K o z l i k a n d D o n a l d G . P e r w l n L a t s e c I n c .
La Jolla, C a l i f o r n i a
R e p o r t No. R k D C - T R - 7 3 - 2 5 5 - r e d . M a y 1 9 7 4 .
A 12-month e f f o r t aimed a t lrnproving t h e o u t p u t of t h e sPSTRAN
S y s t e m f o r m a c h i n e t r a n s l a t i o n of R u s s i a n scientific a n d t e c h n i c a l l i t e r a t u r e
i n t o
E n g l i s h , b a s e d upon a n a l y s i s of a l a r g e amount ofSYSTRAN-translated Russian text. Areas of o u t p u t - l a n g u a g e c o n -
s t r u c t i o n i n c l u d e (1) transfer grammar p r o b l e m s , i.e.; grammatical
c o n v e r s i o n of R u s s i a n Adnominal g e n i t i v e constructions, d e v e r b a t i v e
noun c o n s t r u c t i o n s a n d v o i c e , number c o n v e r s i o n , a n d ( 2 ) svnthesis p r o b l e m s , i . e . , E n g l i s h e q u i v a l e n t suppression, article i n s e r t i o n , d i s a m b i g u a t ~ o n of dash a n d o t h e r s . I n p u t l a n g u a g e a n a l y s i s for p u r p o s e s of structural d i s a m b i g u a t i o n i n c l ~ c l e s s y n t a x and word c l a s s e s , i.e., ' m e a s u r e parameters and m e a s u r a b l e s ' , s u b j e c t / p r e d -
SOME
PROBLEM2I N
GERMAN
TOENGL-ISI~
M A C H I N E
T R A N S L A T I O NG r e t c h e n
P u r k h i s ~ r
Hrown
Massachusetts I n s t i t u t e oJ
!tlcchnul-oyy
Cambridge
R e p o x t N o . M A C - 1 ' R - 2 4 2 . Ilr>ccmber 1 9 7 4
The p a p e r d i s c u s s e s some pxoblcms i n t h c m a c h i n e t r a n s l a t i o n
of n a t u r a l l a n g u a g e , i n p a r t i c u l a r ,
for
t r a n s l a t i o n of German i n t oEngllsh.
An irnplementafionof some
p a r t s of t h e t r a n s l a t i n g pro-cess
has been b u i l t . The s y s t e m c o n s i s t s of a Gcrnan interpretivegrammar,
to
t a k ein
German t e x t and o u t p u t a s c t of s e m a n t i c r e p r e - s e n t a t i o n s , and a g e n e r a t o r , to p r o d u c eEnglish
s c n t c n c e s
froms i n g l e semantlc r e p r e s e n t a t i o n s . S p e c i a l a t t c r t i o n i-s p a i d t o
q u e s t i o n s
of semantic r e p r e s e n t a t i o n i n a m u l t i - l a n g u a g e s e t t i n gand
t o stylistic issues i nEnglish
generation.[AD/A-003
0 0 2 / 3 C APC
$7/W S 2 . , 2 5 ]Translation
Roy Lachman a n d Janet M i s t l e r - L a c h m a n
Unlversitp of IIouston
Progress in
niaclilne t r ' a n s l a t i o n ncay f i r s t reqllj re u n d c y - s t a n d i n g t h e p s y ~ l i o l o r r i c a l tlasl: o f b i lingual C O I T I ~ C tcnc-c:. T h eoutco~!le of r c s t ~ a r c h cjn h i 1 i r i c ~ u ; l l pc:n crnrancc 1:; ri-~ tl r m i i ! l z ~ d I r,
a process model
of
l a n g u a r j c a n d r:lemary. 1 3 i l i n n u c A l : : w h o 11:71d I i x 5 -t o m e s of abrupt transitions b e t w e e n c x c l - u s l r r e U S L of tliebrl~otller
t o n g u e and t h e a d o p t e d l a n g u a g e p e r m i t t e d c l e a r answers t o s e v e r a l q u e s t i o n s :
over
1 5years of continuous
u s
of
a n a d o p t e 8 4 a n g u a g e may be r e q u i r e dfor it
to become d o m i n d n t . T h e s ~ x t c h l n q 6 f l a n -guages
in
a p i c t u r e - n a m n g t a s kpermittea
i n f e r e r i c e s a sto the
r o l e
of.
alexical
s y s t e m a n d i t s c o n c e ~ t u a lor
rriranlng substrate.The t w o
systems
a r e a t l e a s t partially i n d e p e n d e n t . Gernan andDavid G . Hays
S t a t e U n i v e r s i t y of N c w York
Buffalo
P r o c e e d i n g s of t h e 1 9 7 4 P ~ s a S u m m e r S c h o o l ~n C o m p u t a t i o n a l L l n g u l s -
t i c s , e d i t e d b y A n t o n i o Z a m p o l l i ; t o a p p e a r . M a n u s c z i p . 1 : A p r ~ l 3 9 7 5 .
The s p e a k e r - h e a r e r conslsts o f a t h o u g h t - s p e e c h c o n v e r t e r o r p a i r
of them; a s t o r e o f k n o w l e d g e ; an e x p l i c a t o r ; and a b a t t e r y of phy-
s i c a l a p p e t i t e s , i n c l u d i n g one f o r human association. T h e s t o r e i s
a cognitive n e t w o r k - ( N o r m a n , R u m e l h a r t , ~ i n d s a y ; S c h a n k ) . The ex- p l i c a t o r and c o n v e r t e r h a v e the same 'form, but have d i f f e x e n t l n p u t and o u t p u t c o n n e c t i o n s . T h e s t o r e consists of p r o p e r t y , e n t i t y , e v e n t , and p l a n (causal) nodes, some d e f i r i e d by s e n s o r i m o t o r s c h e - mata (Powers)
.
They v a r y i n o r d e r (Powers) ; channe-1, scope ( e ..g.s i z e )
,
a n d f r e q u e n c y ( J u l e s z ).
T h e y a r e linked paradigmatlcally and syntagmatically. E p i s o d i c memory i - s a c o l l e c t i o n of m o d a l i t ynodes, each r e p r e s e n t i n g a s y n t a g r n a t i c n e x w o r k . T h e e x p l ~ c a t o r
relates groups of e p i s o d e s , f o r m i n g more abstract episodes, w h i s h
a r e r e p r e s e n t e d by n o d e s i n t h e original s t o r e . T h e linguistic network h a s t h e same form as t h e stoxe; its n o d e s are b o t h c o n t e n t
a n d grammar. The c o n v e r t e r i s the e x p l i c a t o r u n d e r a n o t h e r name.
M f 15 : 13 S o c i o - B e h a v i o r a l S c i e n c e : Psythology
I N A MODEL
OF
P A R A N O I A
B i l l F a u q h t , Kenneth Mark C o l b y , a n d Roger Parkison
Department of Computer S c i e n c e Stanford U n i v e r s i t y
R e p o r t N o s . S t a n - C S - 7 4 - 4 7 1 , A I M - 2 5 3 . D c c c m h t 3 r 1 3 7 4 .
T h e a n a l y s l s o f natural l a n o u a g e lnput i n t o its underlying
s e m a n t i c c o n t e n t i s but one of the t a s k s n e c e s s a r y for a s y s t e m
(human o r non-human) t o use n a t u r a l l a n g u a g e . R,espondlno to
n a t u r a l language i n p u t r e q u i r e s performing a number of tasks
(1) deriving f a c t s a b o u t t h e i n p u t and t h e s i t u a t i o n in whim1 lt was spoken; (2) a t t e n d i n g to t h e system s n e e d s , desires, a n d i n -
t e r e s t s ; ( 3 ) choosing- intentions t o f u l f i l l these interests; (4)
d e r l s l n g and executing a c t i o n s from these intentions. The ' a u t h o r s d e s c r i b e a series of p r o c e s s e s i n a model of p a r a n c i a w h i c h per-
f o r m s t h e s e t a s k s . The a u t h o r s a l s o d e s c r i b e t h e m o d i f i c a t ~ o n s
Ilumnnj t i e s :
n n a l y ~ i n
. -P r c d J. Damdrau
XBM T J.
Watson
Hcscarch C e n t e r Yorkt3wn H e i y h t s , N . Y eR e p o r t No. R C 5 2 3 9 J a n u a r y 2 8 , 1 9 9 5
T h e
a i s t r i b u t i o n s
of words whose t e x t frequencies were g r e a t e rthan
f i v e timesi n t e n
thousand were t e s t e d to d e t e r -m i n e
which
of
t h e m m i g h t be s a i dt o h a v e
b c e n g e n e r a t e dk)y
a n
u n d e r l y i n g P o i s s o n p r o c e s s . For f i v e diffescnt samples from
w e l l - k n o w n n o v e l s , o R l y
v e r y
few
words
h a v ethis
p r o p e r t y o v e ra l l .
Such w o r d s , relatively i n d e p e n d e n t ofcant-ent
to
be ex-p r e s s e d , would r e f l e c t " m i n o r
encoding
h a b i t s " ( P a i s l e y ) , b u tAmerican Journal
of
Computational Linguistics
M i c r o f i ch Is
: 1 9M E M B E R S H I P
D I R E C T O R Y
1 9 7 4
A
list
of p e r s o n s b e l o n g i n g t o t h e A s s o c i a t i o n f o r C o m p u t a t i o n a l L i n g u i s t i c s .Specialized
i n t e r e s t s a r e listed f o r t h o s e who re-turned
d i r e c t o r ycards
e a r l y i n 1975; t h e e x a c t t e x t s u p p l i e d byt h e m e m b e r is c o p i e d here.
A s u b j e c t i n d e x i s p r i n t e d o n c a r d s .
ABERNATHY, R o b e r t , P r o f e s s o r of S l a v i c L a n g u a g e s , U n i v e r s i t y o f
Colorado,
Boulder
8 0 3 0 2 .ABORN,
Murray,
Division
of
S o c i a l Sciences,National
S c i e n c e ~ o u n d a t i o n , w a s h i n g t o n , D . C . 2 0 5 5 0ADEY, F. C . H o n o r a r y L i b r a r i a n , T h e B r i t i s h Computer Society,
L e i c e s t e r c o l l e g e of T e c h n o l o g y and
Commerce,
The Newarke,
L e i c e s t e r , ENGLAND
ADLER, Jane E. 33036 T r a f a l g a r L a n e , F D ~ . 1 0 , W e s t l a n d ,
Michigan
4 8 1 8 5
AGRESTI,
H e n r i , D e p a r t m e n t ofLinguistics,
U n i v e r s i t y o f C a l i f o r -n i a ,
San Diego, L aJolla
9 2 0 3 7 .ALI,
Latif H. D e p a r t m e n t of E u r o p e a n Languages, C o l l e g eof
A r t s ,ALLEMAN,
John
C . 3 7 7 N o r t h k'irst Wcst St., S a l t L a k c City, Utah8 4 1 0 3
ALLEN, J o n a t h a n : ~
M.
I.
T.
,
R o o m 36-581, Cambridge, M a s s a c h u s c t t $0 2 1 3 9
ALT,
F r a n z ,
American I n s t i t u t e of P h y s i c s , 335 E a s t 4 5 t h S t r e eNew York, 10017
AMICO,
Anthony,
Department
of
Computer S c i e n c e ,Merrimack
C o l l e g e ,Nortl Andover, ~ a s s a c h u s e t t s 01-845
A M S L ~ R , R o b e r t A .
Department
o f Computer S c i e n c e s , U n i v e r s i t yof
T e x a s , A u s t i n 78712. C o m p u t a t i o n a l l e x i c o l o q y ; c o m p u t a t i o n a l
s e m a n t i c s ; artificial i n t e l l i g e n c e .
ANDERSON,
Don
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