SlideShare a Scribd company logo
1 of 42
The Linguistic Status of Idioms
Part II: Three Types of Idioms
Gert Webelhuth, Manfred Sailer, Sascha Bargmann
University of Frankfurt
Minerva Summer School, 2013
Webelhuth Sailer Bargmann Idioms 2 2013 1 / 42
Introduction
3 types of idioms
We assume the existence of (at least) three different types of idioms:
1 Syntactically (almost) frozen idioms (kick the bucket)
2 Mobile idioms
a Syntactically connected idioms (spill the beans)
b Semantically connected idioms (pull strings)
General analytic strategy:
1 Frozen idioms are listed as single lexical entries in the phrasal lexicon.
2 The parts of mobile idioms have separate lexical entries.
◮ These entries each require that the linguistic representation of the clause or
discourse containing their part of the idiom also contain a property that is
only licensed if the other parts of the idiom are present in the structure as
well.
◮ The relevant property may be syntactic or semantic.
Webelhuth Sailer Bargmann Idioms 2 2013 2 / 42
Type I: Syntactically (almost) frozen idioms
Type I: Syntactically (almost) frozen idioms
kick the bucket (Fraser (1970), p. 32)
saw logs (Wasow et al. (1980), p. 89)
shoot the breeze (Nunberg et al. (1994), p. 497)
Wasow et al. (1980), Nunberg et al. (1994), Jackendoff (1995):
Syntactically invariable idiomatic expressions are analyzed in terms of
(surface!) phrasal lexical entries.
e.g. phrase ⇒ hd-spr-ph ∨ hd-comp-ph ∨ [VP kick+INFL the bucket] ∨ . . .
Webelhuth Sailer Bargmann Idioms 2 2013 3 / 42
Syntactically (almost) frozen idioms
kick the bucket
http://www.cornelsen.de/erw/1.c.1984516.de#1.c.1982199.de:
(1) [H]e [VP kicked the bucket] at the weekend.
Examples due to Dianne Jonas:
(2) a. He might [VP kick the bucket].
b. . . . and [VP kick the bucket] he did.
c. It was [VP kick the bucket] that he did last week.
Webelhuth Sailer Bargmann Idioms 2 2013 4 / 42
Syntactically (almost) frozen idioms
kick the bucket
Fraser (1970), p. 32:
(3) a. Your friend’s [VP kicking the bucket] caused great concern.
b. * Your friend’s kicking of the bucket caused great concern.
(4) * The bucket was kicked.
Schenk (1995), p. 254:
(5) a. * The bucket Pete kicked.
b. * It was the bucket that Pete kicked.
c. * The bucket John kicked was astonishing.
d. * Which bucket did John kick?
Webelhuth Sailer Bargmann Idioms 2 2013 5 / 42
Mobile Idioms
Mobile idioms: leading idea
The pieces of mobile idioms must be connected in the larger context
containing them.
Present grammatical theory contains a number of concepts that connect
linguistic expressions either through syntactic or semantic relations that
do not require the connected expressions to be linearly adjacent or to
even occur within the same clause/sentence:
1 Chains (A and A’)
2 Binding (e.g. variable binding, long distance reflexives)
3 Scope (e.g. negative polarity items)
4 Salience in context (pronominal anaphora, ellipsis)
Strategy: try to capture the different degrees of mobility of the pieces of idioms
by imposing different syntactic and/or semantic connectedness conditions on
them within the larger linguistic context containing them.
Webelhuth Sailer Bargmann Idioms 2 2013 6 / 42
Mobile Idioms
Two case studies
Idiom Analysis
spill the beans syntactically connected (at least partially)
pull strings semantically connected
Webelhuth Sailer Bargmann Idioms 2 2013 7 / 42
Mobile Idioms
spill the beans: The data
Descriptive generalizations covering the empirical claims in the literature:
1 An NP of exactly the form the beans must be present.
2 The NP can undergo A-movement but not A’-movement.
3 Ellipsis of the verb is possible.
4 The NP can be pronominalized.
Webelhuth Sailer Bargmann Idioms 2 2013 8 / 42
The LF-Theory of Mobile Idioms
The LF-Theory of Mobile Idioms
Two central assumptions:
1 Each part of a mobile idiom makes a unique contribution to the LF of the
larger linguistic context.
2 A part of an idiom may require the unique LF-contribution of the other
parts of the idiom to be present in the LF of the larger linguistic context
containing it.
Assumptions about logical form
Logical form is a level of representation.
The logical form of a sign (word, phrase, sentence, . . . ) is an expression
of some semantic representation language.
The logical form is part of the representation of the sign, i.e., there can be
mutual constraints on the syntactic form and logical form of a sign.
Discourse: We assume a DRT-like architecture in which
◮ A semantic representation of the preceding discourse is available.
◮ The logical form of the current sentence is still set apart from that of the
preceding discourse, but
◮ anaphoric relations have been resolved.
Webelhuth Sailer Bargmann Idioms 2 2013 9 / 42
The LF-Theory of Mobile Idioms
spill the beans (a syntactically connected idiom): The LF Theory
Lexical entries Constraints
V
LF spillid’
spill
In LF, the verb’s idiomatic argument is specified
by a term of the form The y [beansid’(y)] (possi-
bly after anaphor resolution).
NP
LF λP.The y [beansid’(y)](P(y))
D
the
N
beans
The NP heads an A-chain theta-marked by a
verb with LF: spillid’.
☞ Crucial assumption: the LF constants mentioned in these lexical entries are contributed
solely by these items or pronouns anaphorically licensed by them.
Webelhuth Sailer Bargmann Idioms 2 2013 10 / 42
The LF-Theory of Mobile Idioms
spill the beans (a syntactically connected idiom): The LF Theory
Requirements of the phrasal lexical entry for idiomatic “the beans”:
S
1 NP
LF λP.The y [beansid’(y)](P(y))
The beans
V




word
LF spillid’
ARG-S . . . 1 . . .




spill
θ
☞ Idiomatic “the beans” has to be the subject or object of idiomatic “spill”,
perhaps mediated by raising.
Webelhuth Sailer Bargmann Idioms 2 2013 11 / 42
The LF-Theory of Mobile Idioms
spill the beans (a syntactically connected idiom): The LF Theory
Requirements of the lexical entry for idiomatic “spill”:
Discourse
LF . . . The y [beansid’(y)](. . . spillid’(x,y))
NP
LF λP.The y [beansid’(y)](P(y))
The beans
V
word
LF spillid’(x,y)
spill
Webelhuth Sailer Bargmann Idioms 2 2013 12 / 42
The LF-Theory of Mobile Idioms
Pat spilled the beans.
IP
LF The x [beansid’(x)](spillid’(pat,x))
NP
Pat
VP
V
LF spillid’
spilled
NP
LF λP.The x [beansid’(x)](P(x))
the beans
θ
Webelhuth Sailer Bargmann Idioms 2 2013 13 / 42
The LF-Theory of Mobile Idioms
*Pat spilled the lima beans.
IP
LF The x [lima-beans’(x)](spillid’(pat,x))
NP
Pat
VP
V
LF spillid’
spilled
NP
LF λP. The x [lima-beans’(x)](P(x))
the lima beans
θ
☞ [NP the beans] is not present: hence the verb’s idiomatic argument fails
to be specified by The y [beansid’(y)] in LF.
Webelhuth Sailer Bargmann Idioms 2 2013 14 / 42
The LF-Theory of Mobile Idioms
The beans appeared to be spilled.
IP
LF The x [beansid’(x)](appear’(∃y(spillid’(y,x))))
NPi
LF λP.The x [beansid’(x)](P(x))
The beans
VP
V
appeared
IP
NP
ti
VP
LF λx.∃y (spillid’(y,x))
to be spilled ti
θ
A-CHAIN
A-CHAIN
Webelhuth Sailer Bargmann Idioms 2 2013 15 / 42
The LF-Theory of Mobile Idioms
*The beans John spilled
IP
NPi
LF λP. The y [beansid’(y)](P(y))
The beans
IP
NP
John
VP
V
LF spillid’
spilled
NP
ti
θA’-CHAIN
☞ [NP the beans] does not head an A-chain θ-marked by a verb with LF:
spillid’.
Webelhuth Sailer Bargmann Idioms 2 2013 16 / 42
The LF-Theory of Mobile Idioms
spill the beans (a syntactically connected idiom): The LF Theory
Lexical entries Constraints
V
LF spillid’
spill
In LF, the verb’s idiomatic argument is specified
by a term of the form The y [beansid’(y)] (possi-
bly after anaphor resolution).
NP
LF λP.The y [beansid’(y)](P(y))
D
the
N
beans
The NP heads an A-chain theta-marked by a
verb with LF: spillid’.
☞ Crucial assumption: the LF constants mentioned in these lexical entries are contributed
solely by these items or pronouns anaphorically licensed by them.
Webelhuth Sailer Bargmann Idioms 2 2013 17 / 42
The LF-Theory of Mobile Idioms
*The beans that Joe spilled caused us a lot of trouble.
The Partee structure:
IP
NP
D
The
N’
N’i
beans
CP
NPi
that
IP
NP
Joe
VP
V
LF spillid’
spilled
NP
ti
VP
caused us a lot of trouble
☞ [NP the beans] is not present: hence the verb’s idiomatic argument fails to be
specified by The y [beansid’(y)] in LF.
Webelhuth Sailer Bargmann Idioms 2 2013 18 / 42
The LF-Theory of Mobile Idioms
*The beans that Joe spilled caused us a lot of trouble.
The Bach-Cooper structure:
IP
NP
NPi
D
The
N
beans
CP
NPi
that
IP
NP
Joe
VP
V
LF spillid’
spilled
NP
ti
VP
caused us a lot of trouble
☞ [NP the beans] is present: but it fails to head an A-chain θ-marked by a
verb with LF: spillid’.
Webelhuth Sailer Bargmann Idioms 2 2013 19 / 42
The LF-Theory of Mobile Idioms
Assumptions on pronouns
LF theory: Pronouns are interpreted as definite descriptions that contain
a copy of the semantic representation of their antecedent.
(6) a. Preceding discourse: [A woman]i entered the room.
Current sentence: Shei whistled.
b. Preceding discourse: ∃x[woman’(x)](enter-room’(x))
Current sentence: The x[woman’(x)](whistle’(x))
Webelhuth Sailer Bargmann Idioms 2 2013 20 / 42
The LF-Theory of Mobile Idioms
We worried that Pat might spill the beans, but it was
Chris who finally spilled them.
We worried that Pat might spill [the beans]k, but it was Chris
CP
LF λy.The x [beansid’(x)](spillid’(y,x))]
NP
whoi
IP
NP
ti
VP
V
LF spillid’
spilled
NPk
LF λP.The x [beansid’(x)](P(x))
them
Webelhuth Sailer Bargmann Idioms 2 2013 21 / 42
The LF-Theory of Mobile Idioms
I was worried that the beans might be spilled, but they
weren’t.
I was worried that [the beans]i might be [spilled]k, but
Context-LF: worried′
(speaker′
, The x[beansid
′
(x)](∃z[spillid
′
(z, x)]))
IP
LF The x[beansid’(x)](¬∃z[spillid’(z,x)])
NPi
LF λP.The x[beansid’(x)](P(x))]
they
I’
I
LF λPλu.¬(P(u))
weren’t
VPk
LF λy.∃z[spillid’(z,y)])
e
Webelhuth Sailer Bargmann Idioms 2 2013 22 / 42
The LF-Theory of Mobile Idioms
I was worried that the beans might be spilled, but they
weren’t.
None of the two idiomatically combining items making up the idiom is
present - therefore, none of their conditions can be violated.
For the interpretation of the sentence to be idiomatic, the pieces of the
idiomatically combining items in the context sentence must have
meanings that support anaphoric links. This condition is fulfilled.
Webelhuth Sailer Bargmann Idioms 2 2013 23 / 42
The LF-Theory of Mobile Idioms
pull strings: The data
pull strings is more flexible than spill the beans in several respects:
1 The determiner of the NP headed by strings is not frozen.
2 The NP can undergo both A- and A’-movement.
3 Strings can occur in a main clause without pull, if another occurrence of
strings did cooccur with pull in the preceding discourse.
Webelhuth Sailer Bargmann Idioms 2 2013 24 / 42
The LF-Theory of Mobile Idioms
pull strings
Illustration of the last claim:
Wasow et al. (1980), p. 93f
The authors claim that strings can occur without pull if the whole idiom has
been introduced in the preceding discourse:
(7) Pat and Chris graduated from law school together with roughly equal
records. Pat’s uncle is a state senator, and he pulled strings to get Pat
a clerkship with a state supreme court justice. Chris, in contrast, didn’t
have access to any strings, and ended up hanging out a shingle.
Webelhuth Sailer Bargmann Idioms 2 2013 25 / 42
The LF-Theory of Mobile Idioms
pull strings (a semantically connected idiom): The LF Theory
Lexical entries Constraints
V
LF pullid’
pull
In LF, the verb’s idiomatic argument is specified by
a quantifier Qy that is restricted by stringsid’(y)
(possibly after anaphor resolution).
N
LF stringsid’
strings
stringsid’(y) restricts a quantifier Qy and either
a. or b.:
a. Qy binds the idiomatic argument of an occur-
rence of pullid’ (possibly after anaphor resolution);
b. stringsid’ is salient in the present discourse.
☞ Crucial assumption: the LF constants mentioned in these lexical entries are
contributed solely by these items or pronouns anaphorically licensed by them.
Webelhuth Sailer Bargmann Idioms 2 2013 26 / 42
The LF-Theory of Mobile Idioms
spill the beans (a syntactically connected idiom): The LF Theory
Lexical entries Constraints
V
LF spillid’
spill
In LF, the verb’s idiomatic argument is specified
by a term of the form The y [beansid’(y)] (possi-
bly after anaphor resolution).
NP
LF λP.The y [beansid’(y)](P(y))
D
the
N
beans
The NP heads an A-chain theta-marked by a
verb with LF: spillid’.
☞ Crucial assumption: the LF constants mentioned in these lexical entries are contributed
solely by these items or pronouns anaphorically licensed by them.
Webelhuth Sailer Bargmann Idioms 2 2013 27 / 42
The LF-Theory of Mobile Idioms
pull strings (a semantically connected idiom): The LF Theory
First case: the two pieces license each other in LF.
S/Discourse
LF . . . Qy[stringsid’(y) . . . ](. . . )
NP
LF Qy[stringsid’(y) . . . ](. . . )
. . . strings . . .
V
word
LF pullid’(x,y)
pull
Webelhuth Sailer Bargmann Idioms 2 2013 28 / 42
The LF-Theory of Mobile Idioms
pull strings (a semantically connected idiom): The LF Theory
Second case: strings is licensed by a salient occurrence of itself in the
context.
Discourse
LF . . . Qy[stringsid’(y) . . . ](. . . )
+ S
NP
LF Qy[stringsid’(y) . . . ](. . . )
. . . strings . . .
Webelhuth Sailer Bargmann Idioms 2 2013 29 / 42
The LF-Theory of Mobile Idioms
Kim’s family pulled some strings on her behalf.
IP
LF ∃y[stringsid’(y)](pullid’(kim-family’,y))
NP
Kim’s family
VP
VP
V
LF pullid’(x,y)
pulled
NP
LF λP.∃y[stringsid
′
(y)](P(y))
D
some
N
strings
PP
on her behalf
Webelhuth Sailer Bargmann Idioms 2 2013 30 / 42
The LF-Theory of Mobile Idioms
Strings seem to be pulled every time he applies for a
promotion.
IP
LF . . . seem’(∃y[stringsid’(y)](∃x(pullid’(x,y))))
NPi
Strings
VP
V
seem
IP
NP
ti
VP
VP
to be pulled ti
NP
every time he applies for a promotion
Webelhuth Sailer Bargmann Idioms 2 2013 31 / 42
The LF-Theory of Mobile Idioms
[The strings that Pat pulled ] helped Chris get the job.
IP
LF The y [stringsid’(y) & pullid’(pat’,y)](help’(y,chris’,get-the-promotion’)
NP
D
The
N’
N’i
strings
CP
NPi
that
IP
NP
Pat
VP
V
pulled
NP
ti
VP
helped Chris get the promotion
Webelhuth Sailer Bargmann Idioms 2 2013 32 / 42
The LF-Theory of Mobile Idioms
Bill pulled [the same strings that Joe pulled ] to get the
promotion.
IP
LF The y [stringsid’(y) & pullid’(bill’,y) & purpose’(get’(bill’,promotion’))]
(The z [stringsid’(z) & pullid’(joe’,z) & purpose’(get’(joe’,promotion’))] (y = z))
NP
Bill
VP
V
pulled
NP
D
the
N’
AP
same
N’
Ni
strings
CP
NPi
that
IP
NP
Joe
VP
V
pulled
NP
ti
Webelhuth Sailer Bargmann Idioms 2 2013 33 / 42
The LF-Theory of Mobile Idioms
Pat pulled [strings that Chris had no access to ].
IP
LF ∃y[stringsid’(y) & ¬(access’(chris’,y)](pullid’(pat,y))
NP
Pat
VP
V
pulled
NP
N’
N’
strings
CP
NPi
that
IP
NP
Chris
VP
had no access to
Webelhuth Sailer Bargmann Idioms 2 2013 34 / 42
The LF-Theory of Mobile Idioms
How many strings did Chris pull to get the promotion?
CP
LF how-many y [stringsid’(y)](pullid’(chris’,y) & purpose’(get’(chris’,promotion’)))
NP
How many strings
C’
C
did
IP
IP
NP
Chris
VP
V
pull
NP
ti
CP
to get the promotion
Webelhuth Sailer Bargmann Idioms 2 2013 35 / 42
The LF-Theory of Mobile Idioms
I was worried that strings might be pulled, but they
weren’t.
I was worried that [strings]i might be [pulled]k, but
Context-LF: might′
(∃y[stringsid
′
(y)](∃x(pullid
′
(x, y)))
IP
LF The x[stringsid
′
(x)](¬∃z[pullid
′
(z, x)])
NPi
LF λP.The x[stringsid
′
(x)](P(x))]
they
I’
I
LF λPλu.¬(P(u))
weren’t
VPk
LF λy.∃z[pullid
′
(z, y)])
e
Remember: The pronoun is interpreted as a definite NP whose restrictor is
identical with that of its antecedent.
Webelhuth Sailer Bargmann Idioms 2 2013 36 / 42
The LF-Theory of Mobile Idioms
Chris didn’t have access to any strings.
Pat and Chris graduated from law school together with roughly equal records.
Pat’s uncle is a state senator, and he pulled stringsi to get Pat a clerkship with
a state supreme court justice.
Context LF: . . . stringsid’ . . .
IP
LF ¬∃x[stringsid
′
(x)](access′
(chris′
, x))
NP
Chris
I’
I
didn’t
VP
have access to any stringsi
Webelhuth Sailer Bargmann Idioms 2 2013 37 / 42
Summary
Summary and Conclusion
1 Idioms differ from each other in their degree of syntactic flexibility.
2 The en bloc insertion theory of idioms is thus insufficient, since it needs
to be predicted which set of surface forms a given idiom can occur in.
3 Syntactically (almost) frozen idioms can be treated as entries in the
phrasal lexicon (which, however, must specify surface entries.)
4 Syntactically mobile idioms (= idiomatically combining items) differ from
each other in how their parts are linguistically connected.
5 We have presented a theory in which:
1 The parts of syntactically flexible idioms each have lexical entries.
2 These lexical entries make reference to some syntactic or semantic property
of the other parts of the idiom.
Webelhuth Sailer Bargmann Idioms 2 2013 38 / 42
Summary
spill the beans (a syntactically connected idiom): The LF Theory
Lexical entries Constraints
V
LF spillid’
spill
In LF, the verb’s idiomatic argument is specified
by a term of the form The y [beansid’(y)] (possi-
bly after anaphor resolution).
NP
LF λP.The y [beansid’(y)](P(y))
D
the
N
beans
The NP heads an A-chain theta-marked by a
verb with LF: spillid’.
☞ Crucial assumption: the LF constants mentioned in these lexical entries are contributed
solely by these items or pronouns anaphorically licensed by them.
Webelhuth Sailer Bargmann Idioms 2 2013 39 / 42
Summary
pull strings (a semantically connected idiom): The LF Theory
Lexical entries Constraints
V
LF pullid’
pull
In LF, the verb’s idiomatic argument is specified by
a quantifier Qy that is restricted by stringsid’(y)
(possibly after anaphor resolution).
N
LF stringsid’
strings
stringsid’(y) restricts a quantifier Qy and either
a. or b.:
a. Qy binds the idiomatic argument of an occur-
rence of pullid’ (possibly after anaphor resolution);
b. stringsid’ is salient in the present discourse.
☞ Crucial assumption: the LF constants mentioned in these lexical entries are
contributed solely by these items or pronouns anaphorically licensed by them.
Webelhuth Sailer Bargmann Idioms 2 2013 40 / 42
Summary
Summary and Conclusion
1 Idioms differ from each other in their degree of syntactic flexibility.
2 The en bloc insertion theory of idioms is thus insufficient, since it needs
to be predicted which set of surface forms a given idiom can occur in.
3 Syntactically (almost) frozen idioms can be treated as entries in the
phrasal lexicon (which, however, must specify surface entries.)
4 Syntactically mobile idioms (= idiomatically combining items) differ from
each other in how their parts are linguistically connected.
5 We have presented a theory in which:
1 The parts of syntactically flexible idioms each have lexical entries.
2 These lexical entries make reference to some syntactic or semantic property
of the other parts of the idiom.
6 Our theory predicts a hierarchy of idioms in terms of the syntactic mobility
of their parts:
phrasal lexical entry < syntactically connected < semantically connected.
Webelhuth Sailer Bargmann Idioms 2 2013 41 / 42
The end
Thank you for your attention!
Webelhuth Sailer Bargmann Idioms 2 2013 42 / 42

More Related Content

What's hot

Principles And Parameter Of Universal Grammar
Principles And Parameter Of Universal GrammarPrinciples And Parameter Of Universal Grammar
Principles And Parameter Of Universal GrammarDr. Cupid Lucid
 
[Andrew spencer] morphological_theory(book_fi.org) for taha
[Andrew spencer] morphological_theory(book_fi.org) for taha [Andrew spencer] morphological_theory(book_fi.org) for taha
[Andrew spencer] morphological_theory(book_fi.org) for taha Zainab Dahou
 
Principles and Parameters in Syntax
Principles and Parameters in SyntaxPrinciples and Parameters in Syntax
Principles and Parameters in SyntaxOusama Bziker
 
Principles and parameters of grammar report
Principles and parameters of grammar reportPrinciples and parameters of grammar report
Principles and parameters of grammar reportAubrey Expressionista
 
Updating lecture 1 introduction to syntax
Updating lecture 1 introduction to syntaxUpdating lecture 1 introduction to syntax
Updating lecture 1 introduction to syntaxssuser1f22f9
 
Introduction to Language and Linguistics 007: Dynamic Semantics & Pragmatics
Introduction to Language and Linguistics 007: Dynamic Semantics & PragmaticsIntroduction to Language and Linguistics 007: Dynamic Semantics & Pragmatics
Introduction to Language and Linguistics 007: Dynamic Semantics & PragmaticsMeagan Louie
 
Minimalist program
Minimalist programMinimalist program
Minimalist programRabbiaAzam
 
Principles And Parameters Of Universal Grammar
Principles And Parameters Of Universal GrammarPrinciples And Parameters Of Universal Grammar
Principles And Parameters Of Universal GrammarDr. Cupid Lucid
 
The locality principle- kiran
The locality principle- kiranThe locality principle- kiran
The locality principle- kirankiran nazir
 
7. ku gr.sem 2013: Syntax
7. ku gr.sem 2013: Syntax7. ku gr.sem 2013: Syntax
7. ku gr.sem 2013: SyntaxTikaram Poudel
 
Structures Of Axis Of Chain In Systemic Grammar
Structures Of Axis Of Chain In Systemic GrammarStructures Of Axis Of Chain In Systemic Grammar
Structures Of Axis Of Chain In Systemic GrammarDr. Cupid Lucid
 
Principles of parameters
Principles of parametersPrinciples of parameters
Principles of parametersVelnar
 

What's hot (20)

Principles And Parameter Of Universal Grammar
Principles And Parameter Of Universal GrammarPrinciples And Parameter Of Universal Grammar
Principles And Parameter Of Universal Grammar
 
Phonetic Form
Phonetic FormPhonetic Form
Phonetic Form
 
[Andrew spencer] morphological_theory(book_fi.org) for taha
[Andrew spencer] morphological_theory(book_fi.org) for taha [Andrew spencer] morphological_theory(book_fi.org) for taha
[Andrew spencer] morphological_theory(book_fi.org) for taha
 
Principles and Parameters in Syntax
Principles and Parameters in SyntaxPrinciples and Parameters in Syntax
Principles and Parameters in Syntax
 
NLP_KASHK:Morphology
NLP_KASHK:MorphologyNLP_KASHK:Morphology
NLP_KASHK:Morphology
 
Syntax
SyntaxSyntax
Syntax
 
Principles and parameters of grammar report
Principles and parameters of grammar reportPrinciples and parameters of grammar report
Principles and parameters of grammar report
 
Updating lecture 1 introduction to syntax
Updating lecture 1 introduction to syntaxUpdating lecture 1 introduction to syntax
Updating lecture 1 introduction to syntax
 
Introduction to Language and Linguistics 007: Dynamic Semantics & Pragmatics
Introduction to Language and Linguistics 007: Dynamic Semantics & PragmaticsIntroduction to Language and Linguistics 007: Dynamic Semantics & Pragmatics
Introduction to Language and Linguistics 007: Dynamic Semantics & Pragmatics
 
Systemic Grammar
Systemic GrammarSystemic Grammar
Systemic Grammar
 
Minimalist program
Minimalist programMinimalist program
Minimalist program
 
Principles And Parameters Of Universal Grammar
Principles And Parameters Of Universal GrammarPrinciples And Parameters Of Universal Grammar
Principles And Parameters Of Universal Grammar
 
6
66
6
 
Generative grammer
Generative grammerGenerative grammer
Generative grammer
 
prof vivi
prof viviprof vivi
prof vivi
 
The locality principle- kiran
The locality principle- kiranThe locality principle- kiran
The locality principle- kiran
 
7. ku gr.sem 2013: Syntax
7. ku gr.sem 2013: Syntax7. ku gr.sem 2013: Syntax
7. ku gr.sem 2013: Syntax
 
Structures Of Axis Of Chain In Systemic Grammar
Structures Of Axis Of Chain In Systemic GrammarStructures Of Axis Of Chain In Systemic Grammar
Structures Of Axis Of Chain In Systemic Grammar
 
Syntax
SyntaxSyntax
Syntax
 
Principles of parameters
Principles of parametersPrinciples of parameters
Principles of parameters
 

Viewers also liked

Chapter 1 semantic web
Chapter 1 semantic webChapter 1 semantic web
Chapter 1 semantic webR A Akerkar
 
Webelhuth et al: Idioms in LInguistics Theory, Part I
Webelhuth et al: Idioms in LInguistics Theory, Part IWebelhuth et al: Idioms in LInguistics Theory, Part I
Webelhuth et al: Idioms in LInguistics Theory, Part IManfred Sailer
 
Idiomatic English for Effective Communication
Idiomatic English for Effective CommunicationIdiomatic English for Effective Communication
Idiomatic English for Effective Communicationm nagaRAJU
 
English Communication effective skills ppt
English Communication effective skills pptEnglish Communication effective skills ppt
English Communication effective skills pptShafqat Khan
 

Viewers also liked (6)

Chapter 1 semantic web
Chapter 1 semantic webChapter 1 semantic web
Chapter 1 semantic web
 
Semantic web services
Semantic web servicesSemantic web services
Semantic web services
 
Idioms
IdiomsIdioms
Idioms
 
Webelhuth et al: Idioms in LInguistics Theory, Part I
Webelhuth et al: Idioms in LInguistics Theory, Part IWebelhuth et al: Idioms in LInguistics Theory, Part I
Webelhuth et al: Idioms in LInguistics Theory, Part I
 
Idiomatic English for Effective Communication
Idiomatic English for Effective CommunicationIdiomatic English for Effective Communication
Idiomatic English for Effective Communication
 
English Communication effective skills ppt
English Communication effective skills pptEnglish Communication effective skills ppt
English Communication effective skills ppt
 

Similar to Gert minerva

sentence patterns
sentence patternssentence patterns
sentence patternsJack Tony
 
Morphology-Syntax Interface
Morphology-Syntax InterfaceMorphology-Syntax Interface
Morphology-Syntax InterfaceDr. Mohsin Khan
 
The Application of Distributed Morphology to the Lithuanian First Accent Noun...
The Application of Distributed Morphology to the Lithuanian First Accent Noun...The Application of Distributed Morphology to the Lithuanian First Accent Noun...
The Application of Distributed Morphology to the Lithuanian First Accent Noun...Adrian Lin
 
Study Sheet 5 (Verbal Features)
Study Sheet 5 (Verbal Features)Study Sheet 5 (Verbal Features)
Study Sheet 5 (Verbal Features)Sandra Ronai
 
english-grammar
english-grammarenglish-grammar
english-grammarcjsmann
 
Microliguistic contrastive analysis.
Microliguistic contrastive analysis.Microliguistic contrastive analysis.
Microliguistic contrastive analysis.zahraa Aamir
 
TESL 603 Goals and Aims of MEG (Handout 1) (1).ppt
TESL 603 Goals and Aims of MEG (Handout 1) (1).pptTESL 603 Goals and Aims of MEG (Handout 1) (1).ppt
TESL 603 Goals and Aims of MEG (Handout 1) (1).pptLala Jeon
 
Adverbials and other related matters work 2015
Adverbials and other related matters work 2015Adverbials and other related matters work 2015
Adverbials and other related matters work 2015Viana Nacolonha
 

Similar to Gert minerva (10)

sentence patterns
sentence patternssentence patterns
sentence patterns
 
Morphology-Syntax Interface
Morphology-Syntax InterfaceMorphology-Syntax Interface
Morphology-Syntax Interface
 
The Application of Distributed Morphology to the Lithuanian First Accent Noun...
The Application of Distributed Morphology to the Lithuanian First Accent Noun...The Application of Distributed Morphology to the Lithuanian First Accent Noun...
The Application of Distributed Morphology to the Lithuanian First Accent Noun...
 
Unergativity in Embosi
Unergativity in EmbosiUnergativity in Embosi
Unergativity in Embosi
 
Morphology
MorphologyMorphology
Morphology
 
Study Sheet 5 (Verbal Features)
Study Sheet 5 (Verbal Features)Study Sheet 5 (Verbal Features)
Study Sheet 5 (Verbal Features)
 
english-grammar
english-grammarenglish-grammar
english-grammar
 
Microliguistic contrastive analysis.
Microliguistic contrastive analysis.Microliguistic contrastive analysis.
Microliguistic contrastive analysis.
 
TESL 603 Goals and Aims of MEG (Handout 1) (1).ppt
TESL 603 Goals and Aims of MEG (Handout 1) (1).pptTESL 603 Goals and Aims of MEG (Handout 1) (1).ppt
TESL 603 Goals and Aims of MEG (Handout 1) (1).ppt
 
Adverbials and other related matters work 2015
Adverbials and other related matters work 2015Adverbials and other related matters work 2015
Adverbials and other related matters work 2015
 

Recently uploaded

Zeshan Sattar- Assessing the skill requirements and industry expectations for...
Zeshan Sattar- Assessing the skill requirements and industry expectations for...Zeshan Sattar- Assessing the skill requirements and industry expectations for...
Zeshan Sattar- Assessing the skill requirements and industry expectations for...itnewsafrica
 
Generative Artificial Intelligence: How generative AI works.pdf
Generative Artificial Intelligence: How generative AI works.pdfGenerative Artificial Intelligence: How generative AI works.pdf
Generative Artificial Intelligence: How generative AI works.pdfIngrid Airi González
 
Potential of AI (Generative AI) in Business: Learnings and Insights
Potential of AI (Generative AI) in Business: Learnings and InsightsPotential of AI (Generative AI) in Business: Learnings and Insights
Potential of AI (Generative AI) in Business: Learnings and InsightsRavi Sanghani
 
Modern Roaming for Notes and Nomad – Cheaper Faster Better Stronger
Modern Roaming for Notes and Nomad – Cheaper Faster Better StrongerModern Roaming for Notes and Nomad – Cheaper Faster Better Stronger
Modern Roaming for Notes and Nomad – Cheaper Faster Better Strongerpanagenda
 
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxThe Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxLoriGlavin3
 
Emixa Mendix Meetup 11 April 2024 about Mendix Native development
Emixa Mendix Meetup 11 April 2024 about Mendix Native developmentEmixa Mendix Meetup 11 April 2024 about Mendix Native development
Emixa Mendix Meetup 11 April 2024 about Mendix Native developmentPim van der Noll
 
Abdul Kader Baba- Managing Cybersecurity Risks and Compliance Requirements i...
Abdul Kader Baba- Managing Cybersecurity Risks  and Compliance Requirements i...Abdul Kader Baba- Managing Cybersecurity Risks  and Compliance Requirements i...
Abdul Kader Baba- Managing Cybersecurity Risks and Compliance Requirements i...itnewsafrica
 
Long journey of Ruby standard library at RubyConf AU 2024
Long journey of Ruby standard library at RubyConf AU 2024Long journey of Ruby standard library at RubyConf AU 2024
Long journey of Ruby standard library at RubyConf AU 2024Hiroshi SHIBATA
 
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxUse of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxLoriGlavin3
 
Glenn Lazarus- Why Your Observability Strategy Needs Security Observability
Glenn Lazarus- Why Your Observability Strategy Needs Security ObservabilityGlenn Lazarus- Why Your Observability Strategy Needs Security Observability
Glenn Lazarus- Why Your Observability Strategy Needs Security Observabilityitnewsafrica
 
Bridging Between CAD & GIS: 6 Ways to Automate Your Data Integration
Bridging Between CAD & GIS:  6 Ways to Automate Your Data IntegrationBridging Between CAD & GIS:  6 Ways to Automate Your Data Integration
Bridging Between CAD & GIS: 6 Ways to Automate Your Data Integrationmarketing932765
 
Moving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdfMoving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdfLoriGlavin3
 
UiPath Community: Communication Mining from Zero to Hero
UiPath Community: Communication Mining from Zero to HeroUiPath Community: Communication Mining from Zero to Hero
UiPath Community: Communication Mining from Zero to HeroUiPathCommunity
 
Varsha Sewlal- Cyber Attacks on Critical Critical Infrastructure
Varsha Sewlal- Cyber Attacks on Critical Critical InfrastructureVarsha Sewlal- Cyber Attacks on Critical Critical Infrastructure
Varsha Sewlal- Cyber Attacks on Critical Critical Infrastructureitnewsafrica
 
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024BookNet Canada
 
The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...
The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...
The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...Wes McKinney
 
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxMerck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxLoriGlavin3
 
How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.Curtis Poe
 
Genislab builds better products and faster go-to-market with Lean project man...
Genislab builds better products and faster go-to-market with Lean project man...Genislab builds better products and faster go-to-market with Lean project man...
Genislab builds better products and faster go-to-market with Lean project man...Farhan Tariq
 
Scale your database traffic with Read & Write split using MySQL Router
Scale your database traffic with Read & Write split using MySQL RouterScale your database traffic with Read & Write split using MySQL Router
Scale your database traffic with Read & Write split using MySQL RouterMydbops
 

Recently uploaded (20)

Zeshan Sattar- Assessing the skill requirements and industry expectations for...
Zeshan Sattar- Assessing the skill requirements and industry expectations for...Zeshan Sattar- Assessing the skill requirements and industry expectations for...
Zeshan Sattar- Assessing the skill requirements and industry expectations for...
 
Generative Artificial Intelligence: How generative AI works.pdf
Generative Artificial Intelligence: How generative AI works.pdfGenerative Artificial Intelligence: How generative AI works.pdf
Generative Artificial Intelligence: How generative AI works.pdf
 
Potential of AI (Generative AI) in Business: Learnings and Insights
Potential of AI (Generative AI) in Business: Learnings and InsightsPotential of AI (Generative AI) in Business: Learnings and Insights
Potential of AI (Generative AI) in Business: Learnings and Insights
 
Modern Roaming for Notes and Nomad – Cheaper Faster Better Stronger
Modern Roaming for Notes and Nomad – Cheaper Faster Better StrongerModern Roaming for Notes and Nomad – Cheaper Faster Better Stronger
Modern Roaming for Notes and Nomad – Cheaper Faster Better Stronger
 
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxThe Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
 
Emixa Mendix Meetup 11 April 2024 about Mendix Native development
Emixa Mendix Meetup 11 April 2024 about Mendix Native developmentEmixa Mendix Meetup 11 April 2024 about Mendix Native development
Emixa Mendix Meetup 11 April 2024 about Mendix Native development
 
Abdul Kader Baba- Managing Cybersecurity Risks and Compliance Requirements i...
Abdul Kader Baba- Managing Cybersecurity Risks  and Compliance Requirements i...Abdul Kader Baba- Managing Cybersecurity Risks  and Compliance Requirements i...
Abdul Kader Baba- Managing Cybersecurity Risks and Compliance Requirements i...
 
Long journey of Ruby standard library at RubyConf AU 2024
Long journey of Ruby standard library at RubyConf AU 2024Long journey of Ruby standard library at RubyConf AU 2024
Long journey of Ruby standard library at RubyConf AU 2024
 
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxUse of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
 
Glenn Lazarus- Why Your Observability Strategy Needs Security Observability
Glenn Lazarus- Why Your Observability Strategy Needs Security ObservabilityGlenn Lazarus- Why Your Observability Strategy Needs Security Observability
Glenn Lazarus- Why Your Observability Strategy Needs Security Observability
 
Bridging Between CAD & GIS: 6 Ways to Automate Your Data Integration
Bridging Between CAD & GIS:  6 Ways to Automate Your Data IntegrationBridging Between CAD & GIS:  6 Ways to Automate Your Data Integration
Bridging Between CAD & GIS: 6 Ways to Automate Your Data Integration
 
Moving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdfMoving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdf
 
UiPath Community: Communication Mining from Zero to Hero
UiPath Community: Communication Mining from Zero to HeroUiPath Community: Communication Mining from Zero to Hero
UiPath Community: Communication Mining from Zero to Hero
 
Varsha Sewlal- Cyber Attacks on Critical Critical Infrastructure
Varsha Sewlal- Cyber Attacks on Critical Critical InfrastructureVarsha Sewlal- Cyber Attacks on Critical Critical Infrastructure
Varsha Sewlal- Cyber Attacks on Critical Critical Infrastructure
 
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
 
The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...
The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...
The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...
 
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxMerck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
 
How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.
 
Genislab builds better products and faster go-to-market with Lean project man...
Genislab builds better products and faster go-to-market with Lean project man...Genislab builds better products and faster go-to-market with Lean project man...
Genislab builds better products and faster go-to-market with Lean project man...
 
Scale your database traffic with Read & Write split using MySQL Router
Scale your database traffic with Read & Write split using MySQL RouterScale your database traffic with Read & Write split using MySQL Router
Scale your database traffic with Read & Write split using MySQL Router
 

Gert minerva

  • 1. The Linguistic Status of Idioms Part II: Three Types of Idioms Gert Webelhuth, Manfred Sailer, Sascha Bargmann University of Frankfurt Minerva Summer School, 2013 Webelhuth Sailer Bargmann Idioms 2 2013 1 / 42
  • 2. Introduction 3 types of idioms We assume the existence of (at least) three different types of idioms: 1 Syntactically (almost) frozen idioms (kick the bucket) 2 Mobile idioms a Syntactically connected idioms (spill the beans) b Semantically connected idioms (pull strings) General analytic strategy: 1 Frozen idioms are listed as single lexical entries in the phrasal lexicon. 2 The parts of mobile idioms have separate lexical entries. ◮ These entries each require that the linguistic representation of the clause or discourse containing their part of the idiom also contain a property that is only licensed if the other parts of the idiom are present in the structure as well. ◮ The relevant property may be syntactic or semantic. Webelhuth Sailer Bargmann Idioms 2 2013 2 / 42
  • 3. Type I: Syntactically (almost) frozen idioms Type I: Syntactically (almost) frozen idioms kick the bucket (Fraser (1970), p. 32) saw logs (Wasow et al. (1980), p. 89) shoot the breeze (Nunberg et al. (1994), p. 497) Wasow et al. (1980), Nunberg et al. (1994), Jackendoff (1995): Syntactically invariable idiomatic expressions are analyzed in terms of (surface!) phrasal lexical entries. e.g. phrase ⇒ hd-spr-ph ∨ hd-comp-ph ∨ [VP kick+INFL the bucket] ∨ . . . Webelhuth Sailer Bargmann Idioms 2 2013 3 / 42
  • 4. Syntactically (almost) frozen idioms kick the bucket http://www.cornelsen.de/erw/1.c.1984516.de#1.c.1982199.de: (1) [H]e [VP kicked the bucket] at the weekend. Examples due to Dianne Jonas: (2) a. He might [VP kick the bucket]. b. . . . and [VP kick the bucket] he did. c. It was [VP kick the bucket] that he did last week. Webelhuth Sailer Bargmann Idioms 2 2013 4 / 42
  • 5. Syntactically (almost) frozen idioms kick the bucket Fraser (1970), p. 32: (3) a. Your friend’s [VP kicking the bucket] caused great concern. b. * Your friend’s kicking of the bucket caused great concern. (4) * The bucket was kicked. Schenk (1995), p. 254: (5) a. * The bucket Pete kicked. b. * It was the bucket that Pete kicked. c. * The bucket John kicked was astonishing. d. * Which bucket did John kick? Webelhuth Sailer Bargmann Idioms 2 2013 5 / 42
  • 6. Mobile Idioms Mobile idioms: leading idea The pieces of mobile idioms must be connected in the larger context containing them. Present grammatical theory contains a number of concepts that connect linguistic expressions either through syntactic or semantic relations that do not require the connected expressions to be linearly adjacent or to even occur within the same clause/sentence: 1 Chains (A and A’) 2 Binding (e.g. variable binding, long distance reflexives) 3 Scope (e.g. negative polarity items) 4 Salience in context (pronominal anaphora, ellipsis) Strategy: try to capture the different degrees of mobility of the pieces of idioms by imposing different syntactic and/or semantic connectedness conditions on them within the larger linguistic context containing them. Webelhuth Sailer Bargmann Idioms 2 2013 6 / 42
  • 7. Mobile Idioms Two case studies Idiom Analysis spill the beans syntactically connected (at least partially) pull strings semantically connected Webelhuth Sailer Bargmann Idioms 2 2013 7 / 42
  • 8. Mobile Idioms spill the beans: The data Descriptive generalizations covering the empirical claims in the literature: 1 An NP of exactly the form the beans must be present. 2 The NP can undergo A-movement but not A’-movement. 3 Ellipsis of the verb is possible. 4 The NP can be pronominalized. Webelhuth Sailer Bargmann Idioms 2 2013 8 / 42
  • 9. The LF-Theory of Mobile Idioms The LF-Theory of Mobile Idioms Two central assumptions: 1 Each part of a mobile idiom makes a unique contribution to the LF of the larger linguistic context. 2 A part of an idiom may require the unique LF-contribution of the other parts of the idiom to be present in the LF of the larger linguistic context containing it. Assumptions about logical form Logical form is a level of representation. The logical form of a sign (word, phrase, sentence, . . . ) is an expression of some semantic representation language. The logical form is part of the representation of the sign, i.e., there can be mutual constraints on the syntactic form and logical form of a sign. Discourse: We assume a DRT-like architecture in which ◮ A semantic representation of the preceding discourse is available. ◮ The logical form of the current sentence is still set apart from that of the preceding discourse, but ◮ anaphoric relations have been resolved. Webelhuth Sailer Bargmann Idioms 2 2013 9 / 42
  • 10. The LF-Theory of Mobile Idioms spill the beans (a syntactically connected idiom): The LF Theory Lexical entries Constraints V LF spillid’ spill In LF, the verb’s idiomatic argument is specified by a term of the form The y [beansid’(y)] (possi- bly after anaphor resolution). NP LF λP.The y [beansid’(y)](P(y)) D the N beans The NP heads an A-chain theta-marked by a verb with LF: spillid’. ☞ Crucial assumption: the LF constants mentioned in these lexical entries are contributed solely by these items or pronouns anaphorically licensed by them. Webelhuth Sailer Bargmann Idioms 2 2013 10 / 42
  • 11. The LF-Theory of Mobile Idioms spill the beans (a syntactically connected idiom): The LF Theory Requirements of the phrasal lexical entry for idiomatic “the beans”: S 1 NP LF λP.The y [beansid’(y)](P(y)) The beans V     word LF spillid’ ARG-S . . . 1 . . .     spill θ ☞ Idiomatic “the beans” has to be the subject or object of idiomatic “spill”, perhaps mediated by raising. Webelhuth Sailer Bargmann Idioms 2 2013 11 / 42
  • 12. The LF-Theory of Mobile Idioms spill the beans (a syntactically connected idiom): The LF Theory Requirements of the lexical entry for idiomatic “spill”: Discourse LF . . . The y [beansid’(y)](. . . spillid’(x,y)) NP LF λP.The y [beansid’(y)](P(y)) The beans V word LF spillid’(x,y) spill Webelhuth Sailer Bargmann Idioms 2 2013 12 / 42
  • 13. The LF-Theory of Mobile Idioms Pat spilled the beans. IP LF The x [beansid’(x)](spillid’(pat,x)) NP Pat VP V LF spillid’ spilled NP LF λP.The x [beansid’(x)](P(x)) the beans θ Webelhuth Sailer Bargmann Idioms 2 2013 13 / 42
  • 14. The LF-Theory of Mobile Idioms *Pat spilled the lima beans. IP LF The x [lima-beans’(x)](spillid’(pat,x)) NP Pat VP V LF spillid’ spilled NP LF λP. The x [lima-beans’(x)](P(x)) the lima beans θ ☞ [NP the beans] is not present: hence the verb’s idiomatic argument fails to be specified by The y [beansid’(y)] in LF. Webelhuth Sailer Bargmann Idioms 2 2013 14 / 42
  • 15. The LF-Theory of Mobile Idioms The beans appeared to be spilled. IP LF The x [beansid’(x)](appear’(∃y(spillid’(y,x)))) NPi LF λP.The x [beansid’(x)](P(x)) The beans VP V appeared IP NP ti VP LF λx.∃y (spillid’(y,x)) to be spilled ti θ A-CHAIN A-CHAIN Webelhuth Sailer Bargmann Idioms 2 2013 15 / 42
  • 16. The LF-Theory of Mobile Idioms *The beans John spilled IP NPi LF λP. The y [beansid’(y)](P(y)) The beans IP NP John VP V LF spillid’ spilled NP ti θA’-CHAIN ☞ [NP the beans] does not head an A-chain θ-marked by a verb with LF: spillid’. Webelhuth Sailer Bargmann Idioms 2 2013 16 / 42
  • 17. The LF-Theory of Mobile Idioms spill the beans (a syntactically connected idiom): The LF Theory Lexical entries Constraints V LF spillid’ spill In LF, the verb’s idiomatic argument is specified by a term of the form The y [beansid’(y)] (possi- bly after anaphor resolution). NP LF λP.The y [beansid’(y)](P(y)) D the N beans The NP heads an A-chain theta-marked by a verb with LF: spillid’. ☞ Crucial assumption: the LF constants mentioned in these lexical entries are contributed solely by these items or pronouns anaphorically licensed by them. Webelhuth Sailer Bargmann Idioms 2 2013 17 / 42
  • 18. The LF-Theory of Mobile Idioms *The beans that Joe spilled caused us a lot of trouble. The Partee structure: IP NP D The N’ N’i beans CP NPi that IP NP Joe VP V LF spillid’ spilled NP ti VP caused us a lot of trouble ☞ [NP the beans] is not present: hence the verb’s idiomatic argument fails to be specified by The y [beansid’(y)] in LF. Webelhuth Sailer Bargmann Idioms 2 2013 18 / 42
  • 19. The LF-Theory of Mobile Idioms *The beans that Joe spilled caused us a lot of trouble. The Bach-Cooper structure: IP NP NPi D The N beans CP NPi that IP NP Joe VP V LF spillid’ spilled NP ti VP caused us a lot of trouble ☞ [NP the beans] is present: but it fails to head an A-chain θ-marked by a verb with LF: spillid’. Webelhuth Sailer Bargmann Idioms 2 2013 19 / 42
  • 20. The LF-Theory of Mobile Idioms Assumptions on pronouns LF theory: Pronouns are interpreted as definite descriptions that contain a copy of the semantic representation of their antecedent. (6) a. Preceding discourse: [A woman]i entered the room. Current sentence: Shei whistled. b. Preceding discourse: ∃x[woman’(x)](enter-room’(x)) Current sentence: The x[woman’(x)](whistle’(x)) Webelhuth Sailer Bargmann Idioms 2 2013 20 / 42
  • 21. The LF-Theory of Mobile Idioms We worried that Pat might spill the beans, but it was Chris who finally spilled them. We worried that Pat might spill [the beans]k, but it was Chris CP LF λy.The x [beansid’(x)](spillid’(y,x))] NP whoi IP NP ti VP V LF spillid’ spilled NPk LF λP.The x [beansid’(x)](P(x)) them Webelhuth Sailer Bargmann Idioms 2 2013 21 / 42
  • 22. The LF-Theory of Mobile Idioms I was worried that the beans might be spilled, but they weren’t. I was worried that [the beans]i might be [spilled]k, but Context-LF: worried′ (speaker′ , The x[beansid ′ (x)](∃z[spillid ′ (z, x)])) IP LF The x[beansid’(x)](¬∃z[spillid’(z,x)]) NPi LF λP.The x[beansid’(x)](P(x))] they I’ I LF λPλu.¬(P(u)) weren’t VPk LF λy.∃z[spillid’(z,y)]) e Webelhuth Sailer Bargmann Idioms 2 2013 22 / 42
  • 23. The LF-Theory of Mobile Idioms I was worried that the beans might be spilled, but they weren’t. None of the two idiomatically combining items making up the idiom is present - therefore, none of their conditions can be violated. For the interpretation of the sentence to be idiomatic, the pieces of the idiomatically combining items in the context sentence must have meanings that support anaphoric links. This condition is fulfilled. Webelhuth Sailer Bargmann Idioms 2 2013 23 / 42
  • 24. The LF-Theory of Mobile Idioms pull strings: The data pull strings is more flexible than spill the beans in several respects: 1 The determiner of the NP headed by strings is not frozen. 2 The NP can undergo both A- and A’-movement. 3 Strings can occur in a main clause without pull, if another occurrence of strings did cooccur with pull in the preceding discourse. Webelhuth Sailer Bargmann Idioms 2 2013 24 / 42
  • 25. The LF-Theory of Mobile Idioms pull strings Illustration of the last claim: Wasow et al. (1980), p. 93f The authors claim that strings can occur without pull if the whole idiom has been introduced in the preceding discourse: (7) Pat and Chris graduated from law school together with roughly equal records. Pat’s uncle is a state senator, and he pulled strings to get Pat a clerkship with a state supreme court justice. Chris, in contrast, didn’t have access to any strings, and ended up hanging out a shingle. Webelhuth Sailer Bargmann Idioms 2 2013 25 / 42
  • 26. The LF-Theory of Mobile Idioms pull strings (a semantically connected idiom): The LF Theory Lexical entries Constraints V LF pullid’ pull In LF, the verb’s idiomatic argument is specified by a quantifier Qy that is restricted by stringsid’(y) (possibly after anaphor resolution). N LF stringsid’ strings stringsid’(y) restricts a quantifier Qy and either a. or b.: a. Qy binds the idiomatic argument of an occur- rence of pullid’ (possibly after anaphor resolution); b. stringsid’ is salient in the present discourse. ☞ Crucial assumption: the LF constants mentioned in these lexical entries are contributed solely by these items or pronouns anaphorically licensed by them. Webelhuth Sailer Bargmann Idioms 2 2013 26 / 42
  • 27. The LF-Theory of Mobile Idioms spill the beans (a syntactically connected idiom): The LF Theory Lexical entries Constraints V LF spillid’ spill In LF, the verb’s idiomatic argument is specified by a term of the form The y [beansid’(y)] (possi- bly after anaphor resolution). NP LF λP.The y [beansid’(y)](P(y)) D the N beans The NP heads an A-chain theta-marked by a verb with LF: spillid’. ☞ Crucial assumption: the LF constants mentioned in these lexical entries are contributed solely by these items or pronouns anaphorically licensed by them. Webelhuth Sailer Bargmann Idioms 2 2013 27 / 42
  • 28. The LF-Theory of Mobile Idioms pull strings (a semantically connected idiom): The LF Theory First case: the two pieces license each other in LF. S/Discourse LF . . . Qy[stringsid’(y) . . . ](. . . ) NP LF Qy[stringsid’(y) . . . ](. . . ) . . . strings . . . V word LF pullid’(x,y) pull Webelhuth Sailer Bargmann Idioms 2 2013 28 / 42
  • 29. The LF-Theory of Mobile Idioms pull strings (a semantically connected idiom): The LF Theory Second case: strings is licensed by a salient occurrence of itself in the context. Discourse LF . . . Qy[stringsid’(y) . . . ](. . . ) + S NP LF Qy[stringsid’(y) . . . ](. . . ) . . . strings . . . Webelhuth Sailer Bargmann Idioms 2 2013 29 / 42
  • 30. The LF-Theory of Mobile Idioms Kim’s family pulled some strings on her behalf. IP LF ∃y[stringsid’(y)](pullid’(kim-family’,y)) NP Kim’s family VP VP V LF pullid’(x,y) pulled NP LF λP.∃y[stringsid ′ (y)](P(y)) D some N strings PP on her behalf Webelhuth Sailer Bargmann Idioms 2 2013 30 / 42
  • 31. The LF-Theory of Mobile Idioms Strings seem to be pulled every time he applies for a promotion. IP LF . . . seem’(∃y[stringsid’(y)](∃x(pullid’(x,y)))) NPi Strings VP V seem IP NP ti VP VP to be pulled ti NP every time he applies for a promotion Webelhuth Sailer Bargmann Idioms 2 2013 31 / 42
  • 32. The LF-Theory of Mobile Idioms [The strings that Pat pulled ] helped Chris get the job. IP LF The y [stringsid’(y) & pullid’(pat’,y)](help’(y,chris’,get-the-promotion’) NP D The N’ N’i strings CP NPi that IP NP Pat VP V pulled NP ti VP helped Chris get the promotion Webelhuth Sailer Bargmann Idioms 2 2013 32 / 42
  • 33. The LF-Theory of Mobile Idioms Bill pulled [the same strings that Joe pulled ] to get the promotion. IP LF The y [stringsid’(y) & pullid’(bill’,y) & purpose’(get’(bill’,promotion’))] (The z [stringsid’(z) & pullid’(joe’,z) & purpose’(get’(joe’,promotion’))] (y = z)) NP Bill VP V pulled NP D the N’ AP same N’ Ni strings CP NPi that IP NP Joe VP V pulled NP ti Webelhuth Sailer Bargmann Idioms 2 2013 33 / 42
  • 34. The LF-Theory of Mobile Idioms Pat pulled [strings that Chris had no access to ]. IP LF ∃y[stringsid’(y) & ¬(access’(chris’,y)](pullid’(pat,y)) NP Pat VP V pulled NP N’ N’ strings CP NPi that IP NP Chris VP had no access to Webelhuth Sailer Bargmann Idioms 2 2013 34 / 42
  • 35. The LF-Theory of Mobile Idioms How many strings did Chris pull to get the promotion? CP LF how-many y [stringsid’(y)](pullid’(chris’,y) & purpose’(get’(chris’,promotion’))) NP How many strings C’ C did IP IP NP Chris VP V pull NP ti CP to get the promotion Webelhuth Sailer Bargmann Idioms 2 2013 35 / 42
  • 36. The LF-Theory of Mobile Idioms I was worried that strings might be pulled, but they weren’t. I was worried that [strings]i might be [pulled]k, but Context-LF: might′ (∃y[stringsid ′ (y)](∃x(pullid ′ (x, y))) IP LF The x[stringsid ′ (x)](¬∃z[pullid ′ (z, x)]) NPi LF λP.The x[stringsid ′ (x)](P(x))] they I’ I LF λPλu.¬(P(u)) weren’t VPk LF λy.∃z[pullid ′ (z, y)]) e Remember: The pronoun is interpreted as a definite NP whose restrictor is identical with that of its antecedent. Webelhuth Sailer Bargmann Idioms 2 2013 36 / 42
  • 37. The LF-Theory of Mobile Idioms Chris didn’t have access to any strings. Pat and Chris graduated from law school together with roughly equal records. Pat’s uncle is a state senator, and he pulled stringsi to get Pat a clerkship with a state supreme court justice. Context LF: . . . stringsid’ . . . IP LF ¬∃x[stringsid ′ (x)](access′ (chris′ , x)) NP Chris I’ I didn’t VP have access to any stringsi Webelhuth Sailer Bargmann Idioms 2 2013 37 / 42
  • 38. Summary Summary and Conclusion 1 Idioms differ from each other in their degree of syntactic flexibility. 2 The en bloc insertion theory of idioms is thus insufficient, since it needs to be predicted which set of surface forms a given idiom can occur in. 3 Syntactically (almost) frozen idioms can be treated as entries in the phrasal lexicon (which, however, must specify surface entries.) 4 Syntactically mobile idioms (= idiomatically combining items) differ from each other in how their parts are linguistically connected. 5 We have presented a theory in which: 1 The parts of syntactically flexible idioms each have lexical entries. 2 These lexical entries make reference to some syntactic or semantic property of the other parts of the idiom. Webelhuth Sailer Bargmann Idioms 2 2013 38 / 42
  • 39. Summary spill the beans (a syntactically connected idiom): The LF Theory Lexical entries Constraints V LF spillid’ spill In LF, the verb’s idiomatic argument is specified by a term of the form The y [beansid’(y)] (possi- bly after anaphor resolution). NP LF λP.The y [beansid’(y)](P(y)) D the N beans The NP heads an A-chain theta-marked by a verb with LF: spillid’. ☞ Crucial assumption: the LF constants mentioned in these lexical entries are contributed solely by these items or pronouns anaphorically licensed by them. Webelhuth Sailer Bargmann Idioms 2 2013 39 / 42
  • 40. Summary pull strings (a semantically connected idiom): The LF Theory Lexical entries Constraints V LF pullid’ pull In LF, the verb’s idiomatic argument is specified by a quantifier Qy that is restricted by stringsid’(y) (possibly after anaphor resolution). N LF stringsid’ strings stringsid’(y) restricts a quantifier Qy and either a. or b.: a. Qy binds the idiomatic argument of an occur- rence of pullid’ (possibly after anaphor resolution); b. stringsid’ is salient in the present discourse. ☞ Crucial assumption: the LF constants mentioned in these lexical entries are contributed solely by these items or pronouns anaphorically licensed by them. Webelhuth Sailer Bargmann Idioms 2 2013 40 / 42
  • 41. Summary Summary and Conclusion 1 Idioms differ from each other in their degree of syntactic flexibility. 2 The en bloc insertion theory of idioms is thus insufficient, since it needs to be predicted which set of surface forms a given idiom can occur in. 3 Syntactically (almost) frozen idioms can be treated as entries in the phrasal lexicon (which, however, must specify surface entries.) 4 Syntactically mobile idioms (= idiomatically combining items) differ from each other in how their parts are linguistically connected. 5 We have presented a theory in which: 1 The parts of syntactically flexible idioms each have lexical entries. 2 These lexical entries make reference to some syntactic or semantic property of the other parts of the idiom. 6 Our theory predicts a hierarchy of idioms in terms of the syntactic mobility of their parts: phrasal lexical entry < syntactically connected < semantically connected. Webelhuth Sailer Bargmann Idioms 2 2013 41 / 42
  • 42. The end Thank you for your attention! Webelhuth Sailer Bargmann Idioms 2 2013 42 / 42