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Pragmatic Enrichment and Non-restrictive Relatives Doug Arnold and - - PowerPoint PPT Presentation

Pragmatic Enrichment and Non-restrictive Relatives Doug Arnold and Robert D. Borsley University of Essex Language and Computation Day 2008, Essex Terminology Non-Restrictive Relative (NRRC) vs Restrictive Relative: (1) a. I bought the


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Pragmatic Enrichment and Non-restrictive Relatives

Doug Arnold and Robert D. Borsley University of Essex Language and Computation Day 2008, Essex

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Terminology

  • Non-Restrictive Relative (NRRC) vs Restrictive Relative:

(1) a. I bought the cheapest book, which was a paperback. [NRRC] (≈ I bought the cheapest book, (and) it was a paperback.)

  • b. I bought the cheapest book which was a paperback. [RRC]

NRRCs can have sentential/propositional antecedents: (2) United won the title, which was not a surprise.

  • Ellipsis:

(3) a. Kim owns a dog, but Sam doesn’t ∆. (VP-ellipsis)

  • b. Kim has two dogs, but Sam has three ∆.

(N’-ellipsis)

  • c. Kim has a dog, but I don’t know why ∆.

(Sluicing) . . .

  • Propositional Lexeme: yes, no, probably, etc.

Language & Computation Day 2008, Essex 1/45

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Outline (1)

⇒1

Introduction 2 Phenomena 3 Analysis 4 Other Forms of Ellipsis 5 Subtleties and Details 6 Conclusion 7 References

Language & Computation Day 2008, Essex 2/45

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Introduction

1 Introduction

. Blakemore (2006) notes the interpretation of B’s utterance in (3): (1) A: What did Jo think? B: Just as we predicted, you should say nothing. (Our prediction ≈ Jo thinks you should say nothing) (Our prediction ≈ You should say nothing)

  • The host of the as-parenthetical is ‘pragmatically enriched’ with content

from the preceding question.

  • Parentheticals are inserted into conceptual/pragmatic representations, and

are absent at syntactic levels.

Language & Computation Day 2008, Essex 3/45

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Introduction

We have similar data with non-restrictive relative clauses (NRRCs). In (4), B expresses surprise that Jo thinks you should say nothing (not surprise that you should say nothing): (2) A: What did Jo think? B: You should say nothing, which is surprising. ( ≈ It is surprising that Jo thinks you should say nothing) ( ≈ It is surprising that you should say nothing)

  • NRRCs attach to ‘pragmatically enriched’ hosts;
  • NRRCs are attached at conceptual/pragmatic (not syntactic) levels, contra

syntactically integrated approches, such as Arnold (2004, 2007).

Language & Computation Day 2008, Essex 4/45

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Introduction

However, on closer inspection it turns out that:

  • such examples provide evidence against a ‘conceptual attachment’ anal-

ysis, and in favour of syntactically integrated approaches;

  • the analysis of such examples follows straightforwardly from a syntactically

integrated approach and Ginzburg and Sag (2000) (G&S)’s approach to ellipsis and anaphora. These observations, seem to be novel — there seem to be no previous explo- rations of the interaction between NRRCs, ellipsis and anaphora.

Language & Computation Day 2008, Essex 5/45

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Outline (2)

Introduction

1 Introduction

⇒2

Phenomena 3 Analysis 4 Other Forms of Ellipsis 5 Subtleties and Details 6 Conclusion 7 References

Language & Computation Day 2008, Essex 6/45

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Phenomena

2 Phenomena

Basic examples (no ellipsis or anaphora): (3) Kim owns a dog, which is regrettable. (which ≈ Kim owns a dog) (4) Kim owns a dog, which is a dachshund. (which ≈ a dog) Given an NRRC following a clause with a final NP , the antecedent/host can be either the clause (Kim owns a dog), as in (5); or the NP (a dog), as in (6).

Language & Computation Day 2008, Essex 7/45

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Phenomena/ Ellipsis: ‘bare argument ellipsis’

2.1 Ellipsis: ‘bare argument ellipsis’

(5) A: Who owns a dog? B: Kim. (Kim ≈ Kim owns a dog) (6) Lee owns a dog — and Kim. (Kim ≈ Kim owns a dog) Here Kim is interpreted as Kim owns a dog, with the same conceptual repre- sentation, presumably.

Language & Computation Day 2008, Essex 8/45

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Phenomena/ Ellipsis: ‘bare argument ellipsis’

But with an NRRC: (7) A: Who owns a dog? B: Kim, which is regrettable. (which ≈ Kim owns a dog) B’: Kim, who has many pets. (who ≈ Kim) B”: *Kim, which is a dachshund. (which ≈ a dog) Compare, without ellipsis: (8) A: Who owns a dog? B: Kim owns a dog, which is a dachshund. (which ≈ a dog) Compare, normal pronominal anaphora: (9) A: Who owns a dog? B: Kim, and it’s a dachshund.

Language & Computation Day 2008, Essex 9/45

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Phenomena/ Anaphora: propositional lexemes

2.2 Anaphora: propositional lexemes

(10) A: Does Kim own a dog? B: Yes. (yes ≈ Kim owns a dog) Conceptually, yes is equivalent to Kim has a dog.

Language & Computation Day 2008, Essex 10/45

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Phenomena/ Anaphora: propositional lexemes

But with an NRRC: (11) A: Does Kim own a dog? B: Yes, which is regrettable. (which ≈ Kim owns a dog) B’: *Yes, which is a dachshund. (which ≈ a dog) Compare, without anaphora: (12) A: Does Kim own a dog? B: Kim does (indeed) own a dog, which is a dachshund. Compare, normal pronominal anaphora: (13) A: Does Kim own a dog? B: Yes, and it’s a dachshund.

Language & Computation Day 2008, Essex 11/45

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Phenomena/ Anaphora: propositional lexemes

This is mysterious if Kim and yes in these contexts have the same conceptual representation as Kim owns a dog, and NRRCs are integrated only at concep- tual levels of representation. But it follows naturally when a ‘syntactically integrated’ approach to NRRCs is combined with an approach to ellipsis and propositional lexemes such as that proposed in G&S.

Language & Computation Day 2008, Essex 12/45

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Outline (3)

Phenomena/ Anaphora: propositional lexemes

1 Introduction 2 Phenomena

⇒3

Analysis 4 Other Forms of Ellipsis 5 Subtleties and Details 6 Conclusion 7 References

Language & Computation Day 2008, Essex 13/45

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Analysis

3 Analysis

Language & Computation Day 2008, Essex 14/45

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Analysis/ NRRCs

3.1 NRRCs

(14)

NP

❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤ ✭ ✭ ✭ ✭ ✭ ✭ ✭ ✭ ✭ ✭ ✭ ✭ ✭ ✭ ✭ ✭ ✭ ✭

1NP5

❩❩❩ ❩ ✚ ✚ ✚ ✚

a dog

S

 

rel-cl

MOD

1

 

❵❵❵❵❵❵❵❵❵❵❵❵ ❵ ✥ ✥ ✥ ✥ ✥ ✥ ✥ ✥ ✥ ✥ ✥ ✥ ✥

NP2

2 :

  • non human(2) ∧ 2 ≈ 5

❅ ❅

  • which

VP

PPPPPPP P ✏ ✏ ✏ ✏ ✏ ✏ ✏ ✏

is a dachshund

Language & Computation Day 2008, Essex 15/45

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Analysis/ NRRCs

(15)

S

❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤ ✭ ✭ ✭ ✭ ✭ ✭ ✭ ✭ ✭ ✭ ✭ ✭ ✭ ✭ ✭ ✭ ✭ ✭ ✭

1S5

PPPPPPP P ✏ ✏ ✏ ✏ ✏ ✏ ✏ ✏

Kim owns a dog

S

 

rel-cl

MOD

1

 

❵❵❵❵❵❵❵❵❵❵❵❵ ❵ ✥ ✥ ✥ ✥ ✥ ✥ ✥ ✥ ✥ ✥ ✥ ✥ ✥

NP2

2 :

  • non human(2) ∧ 2 ≈ 5

❅ ❅

  • which

VP

❛❛❛❛❛❛ ❛ ✦ ✦ ✦ ✦ ✦ ✦ ✦

is regrettable

Language & Computation Day 2008, Essex 16/45

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Analysis/ NRRCs

Abbreviations/simplifications:

  • NP1 — an NP whose CONTENT | INDEX is 1.
  • S1 — an S whose CONTENT | SITUATION value is 1.
  • CONTENT values — pairs consisting of an ‘index’ and a set of restrictions:

– y :

  • dog(y)
  • (a dog)

– s :

  • ∃y, x|own rel(s) ∧ owner(x)∧
  • wned(y) ∧ dog(y) ∧ named(x, Kim)
  • (Kim owns a dog)

The crucial point is the requirement of anaphoric dependence between the index of the relative phrase and the index of the host — the phrase to which it is attached (syntactically).

Language & Computation Day 2008, Essex 17/45

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Analysis/ Ellipsis: Bare Argument Ellipsis

3.2 Ellipsis: Bare Argument Ellipsis

(16) A: Who owns a dog? B: Kim.

Language & Computation Day 2008, Essex 18/45

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Analysis/ Ellipsis: Bare Argument Ellipsis

(17)

S

            

decl-frag-cl

CONT

2

MAX-QUD

     

question

PARAMS

  • 1:person(1)
  • PROP

2

                  

NP1

1 :

  • named(1, Kim)
  • Kim
  • 2 = s :
  • ∃y|own rel(s) ∧ owner(1)∧
  • wned(y) ∧ dog(y)
  • 2 = s :
  • ∃y, x|own rel(s) ∧ owner(x)∧
  • wned(y) ∧ dog(y) ∧ named(x, Kim)
  • Language & Computation Day 2008, Essex

19/45

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Analysis/ Ellipsis: Bare Argument Ellipsis

The key points of the analysis can be seen in the representation in (16). (18)

Ss s :

  • ∃y, x|own rel(s) ∧ owner(x)∧
  • wned(y) ∧ dog(y) ∧ named(x, Kim)
  • NPx

x :

  • named(x, Kim)
  • Kim

There are only two attachment points for an NRC:

Language & Computation Day 2008, Essex 20/45

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Analysis/ Ellipsis: Bare Argument Ellipsis

(19)

Ss

❛❛❛❛❛❛ ✦ ✦ ✦ ✦ ✦ ✦

Ss NP

Kim

S

 

rel-cl

MOD

Ss

 

❳❳❳❳❳❳❳❳❳ ❳ ✘ ✘ ✘ ✘ ✘ ✘ ✘ ✘ ✘ ✘

whichi≈s is regrettable

S NPx

❛❛❛❛❛❛ ❛ ✦ ✦ ✦ ✦ ✦ ✦ ✦

NPx

Kim

S

 

rel-cl

MOD

NPx

 

❳❳❳❳❳❳❳❳❳ ❳ ✘ ✘ ✘ ✘ ✘ ✘ ✘ ✘ ✘ ✘

whoi≈x has many pets (20) A: Who owns a dog? B: Kim, which is regretable. B’: Kim, who has many pets. B”: *Kim, which is a dachshund. The impossibility of having an NP inside the ‘missing material’ as antecedent for the NRRC falls out automatically.

Language & Computation Day 2008, Essex 21/45

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Analysis/ Anaphora: Propositional Lexemes

3.3 Anaphora: Propositional Lexemes

Items such as yes, no, probably, regretably, unfortunately, etc. G&S’s analysis: (21)

ADV

      

CONT

1

MAX-QUD

  

PARAMS{} PROP 1

         

Yes

Language & Computation Day 2008, Essex 22/45

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Analysis/ Anaphora: Propositional Lexemes

(22) A: Does Kim own a dog? B: Yes. (23) s :

  • ∃y, x|own rel(s) ∧ owner(x)∧
  • wned(y) ∧ dog(y) ∧ named(x, Kim)
  • (24)

ADVs s :

  • ∃y, x|own rel(s) ∧ owner(x)∧
  • wned(y) ∧ dog(y) ∧ named(x, Kim)
  • Yes

This gives us just one attachment point for an NRRC:

Language & Computation Day 2008, Essex 23/45

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Analysis/ Anaphora: Propositional Lexemes

(25)

ADV

PPPPPPP ✏ ✏ ✏ ✏ ✏ ✏ ✏

ADVs

Yes

S

 

rel-cl

MOD

ADV

 

❳❳❳❳❳❳❳❳❳ ❳ ✘ ✘ ✘ ✘ ✘ ✘ ✘ ✘ ✘ ✘

whichi≈s is regretable (26) A: Does Kim own a dog? B: Yes, which is regretable. B’: *Yes, which is a dachshund. (27) A: Does Kim own a dog? B: Yes, and it’s a dachshund.

Language & Computation Day 2008, Essex 24/45

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Analysis/ Anaphora: Propositional Lexemes

Similarly: (28)

ADVs s :

  • ¬p
  • No

(p ≈ Kim owns a dog)

Language & Computation Day 2008, Essex 25/45

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Analysis/ Anaphora: Propositional Lexemes

(29)

ADV

❛❛❛❛❛❛ ❛ ✦ ✦ ✦ ✦ ✦ ✦ ✦

ADVs s :

  • ¬p
  • No

S

 

rel-cl

MOD

ADV

 

PPPPPPP P ✏ ✏ ✏ ✏ ✏ ✏ ✏ ✏

whichi≈s is a pity (30) A: Does Kim own a dog? B: No, which is a pity. B’: *No, which would be a pity. (31) A: Does Kim own a dog? B’: No, and it would be a pity.

Language & Computation Day 2008, Essex 26/45

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Outline (4)

Analysis/ Anaphora: Propositional Lexemes

1 Introduction 2 Phenomena 3 Analysis

⇒4

Other Forms of Ellipsis 5 Subtleties and Details 6 Conclusion 7 References

Language & Computation Day 2008, Essex 27/45

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Other Forms of Ellipsis

4 Other Forms of Ellipsis

Other kinds of ellipsis show the same pattern.

Language & Computation Day 2008, Essex 28/45

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Other Forms of Ellipsis/ N’ Ellipsis

4.1 N’ Ellipsis

(32) Lee took two pictures of Sandy, so Kim took three ∆. (=pictures of Sandy) (33) a. Lee took two of pictures of Sandy, so Kim took three pictures of Sandy, who must be one of the most photographed people around.

  • b. *Lee took two of pictures of Sandy, so Kim took three ∆, who must

be one of the most photographed people around.

  • c. Lee took two of pictures of Sandy, so Kim took three ∆, she must be
  • ne of the most photographed people around.
  • d. Lee took two of pictures of Sandy, so Kim took three ∆, which turned
  • ut well.

Language & Computation Day 2008, Essex 29/45

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Other Forms of Ellipsis/ Sluicing

4.2 Sluicing

(34) I know Frazier beat Ali, but I don’t remember how/why/when. (=Frazier beat Ali) (35) a. I know Frazier beat Ali, but I don’t remember how/why/when Frazier beat Ali, who many think was the the greatest champion ever.

  • b. *I know Frazier beat Ali, but I don’t remember how/why/when, who

many think was the the greatest champion ever.

  • c. I know Frazier beat Ali, but I don’t remember how/why/when — many

think he was the the greatest champion ever.

  • d. I know Frazier beat Ali, but I don’t remember how/why/when, which is

not surprising, given my memory.

Language & Computation Day 2008, Essex 30/45

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Other Forms of Ellipsis/ Comparative Ellipsis

4.3 Comparative Ellipsis

(36) a. Sam is happier in London than Kim was in London.

  • b. Sam is happier in London than Kim was ∆.
  • c. Sam is happier in London than Kim ∆.

(37) a. Sam is happier in London than Kim was in London, which was too busy for her.

  • b. *Sam is happier in London than Kim (was) ∆, which was too busy for

her.

  • c. Sam is happier in London than Kim (was) ∆, it was too busy for her.
  • d. Sam is happier in London than Kim (was) ∆, which is not surprising.

Language & Computation Day 2008, Essex 31/45

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Other Forms of Ellipsis/ VP Ellipsis

4.4 VP Ellipsis

(38) I have never ridden a camel, but Kim has. (=ridden a camel) (39) a. I have never ridden a camel, but Kim has ridden a camel, which stank horribly.

  • b. *I have never ridden a camel, but Kim has, which stank horribly.
  • c. I have never ridden a camel, but Kim has, it stank horribly.
  • d. I have never ridden a camel, but Kim has, which surprises me, be-

cause she is scared of animals. (This might be problematic for interpretive accounts of VPE based on full syn- tactic reconstruction.)

Language & Computation Day 2008, Essex 32/45

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Outline (5)

Other Forms of Ellipsis/ VP Ellipsis

1 Introduction 2 Phenomena 3 Analysis 4 Other Forms of Ellipsis

⇒5

Subtleties and Details 6 Conclusion 7 References

Language & Computation Day 2008, Essex 33/45

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Subtleties and Details

5 Subtleties and Details

Notice that the relation between the relative phrase and the antecedent is anaphoric dependence, not identity or co-indexation. (40) a. Kim likes muffins, but Sandy prefers scones, which they eat with jam.

  • b. Then Kim started talking to her friends in Italian, which I think sounds

really sexy.

  • c. Kim turned the hot dog down flat, which would not have happened

with the filet mignon. This is reminiscent of normal anaphora: the interpretation of the relative pro- noun can be some ‘extension’ or ‘abstraction’ of the antecedent, but notice that such extensions/abstractions are only accessible via the index of the syntactic host of the NRRC (unlike normal anaphora).

Language & Computation Day 2008, Essex 34/45

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Subtleties and Details

The example we began with (4): (41) A: What did Jo think? B: You should say nothing, which is surprising.

  • You should say nothing is a declarative-fragment-clause;
  • where the question is ‘for what X does Jo think X?’ involving the proposi-

tion ‘Jo thinks X’;

  • so

(You should say nothing ≈ Jo thinks you should say nothing).

Language & Computation Day 2008, Essex 35/45

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Subtleties and Details

(42)

S

❵❵❵❵❵❵❵❵❵❵❵❵ ❵ ✥ ✥ ✥ ✥ ✥ ✥ ✥ ✥ ✥ ✥ ✥ ✥ ✥

            

decl-frag-cl

CONT

2

MAX-QUD

     

question

PARAMS

  • s : thing(s)
  • PROP

2

                  

S

❳❳❳❳❳❳❳❳❳ ❳ ✘ ✘ ✘ ✘ ✘ ✘ ✘ ✘ ✘ ✘

You should say nothing

S

 

rel-cl

MOD

Ss

 

❳❳❳❳❳❳❳❳❳ ❳ ✘ ✘ ✘ ✘ ✘ ✘ ✘ ✘ ✘ ✘

whichi≈s is surprising

Language & Computation Day 2008, Essex 36/45

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Outline (6)

Subtleties and Details

1 Introduction 2 Phenomena 3 Analysis 4 Other Forms of Ellipsis 5 Subtleties and Details

⇒6

Conclusion 7 References

Language & Computation Day 2008, Essex 37/45

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Conclusion

6 Conclusion

Language & Computation Day 2008, Essex 38/45

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Conclusion

  • There is strong evidence that NRRCs attach to their hosts ‘in the syntax’

rather than at a conceptual level. (Phew!)

Language & Computation Day 2008, Essex 40/45

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Conclusion

  • There is strong evidence that NRRCs attach to their hosts ‘in the syntax’

rather than at a conceptual level. (Phew!)

  • These facts about the interaction of ellipsis, anaphora and NRRCs fall
  • ut automatically from existing, independently motivated, HPSG analyses

without modification. (Good!)

Language & Computation Day 2008, Essex 41/45

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SLIDE 42

Conclusion

  • There is strong evidence that NRRCs attach to their hosts ‘in the syntax’

rather than at a conceptual level. (Phew!)

  • These facts about the interaction of ellipsis, anaphora and NRRCs fall
  • ut automatically from existing, independently motivated, HPSG analyses

without modification. (Good!)

  • There is nothing specific to English in any of this. We predict that the facts

should be parallel in any language that has a relative clause construction that can take sentential/verbal antecedents.

Language & Computation Day 2008, Essex 42/45

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SLIDE 43

Outline (7)

Conclusion

1 Introduction 2 Phenomena 3 Analysis 4 Other Forms of Ellipsis 5 Subtleties and Details 6 Conclusion

⇒7

References

Language & Computation Day 2008, Essex 43/45

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SLIDE 44

References

7 References

D.J. Arnold. Non-Restrictive relative clauses in construction based HPSG. In Stefan M¨ uller, editor, Proceedings

  • f

the 11th In- ternational Conference

  • n

Head-Driven Phrase Structure Gram- mar, pages 27–47, Stanford, 2004. CSLI Publications. URL

http://cslipublications.stanford.edu/HPSG/5/arnold.pdf.

D.J. Arnold. Non-Restrictive relatives are not orphans. Journal of Linguistics, 43(2):272–309, 2007. D Blakemore. Divisions of labour: the analysis of parentheticals. Lingua, 116: 1670–1687, 2006. Markus Egg. The syntax and semantics of relative clause modification. In Khal’il Simanan, Maarten de Rijke, Remko Scha, and Rob van Son, editors,

Language & Computation Day 2008, Essex 44/45

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References

Proceedings of the Sixteenth Computational Linguistics in the Netherlands, pages 49–56, Universiteit Amsterdam, 2007. Jonathan Ginzburg and Ivan A. Sag. Interrogative Investigations:the Form, Meaning and Use of English Interrogatives. CSLI Publications, Stanford, Ca., 2001. Ruth Kempson. Nonrestrictive relatives and growth of Logical Form. In Pro- ceedings of the West Coast Conference on Formal Linguistics, volume 22, pages 301–314, 2003. Christopher Potts. The Logic of Conventional Implicatures. Oxford University Press, Oxford, 2005. Ivan A. Sag. English relative clause constructions. Journal of Linguistics, 33 (2):431–484, 1997.

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