Butterpillar or Caterfly? - PowerPoint PPT Presentation

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Butterpillar or Caterfly?

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Misses the generalization about how we think of passives not out of the blue ... b. dEkha jay (impersonal) Agent, if expressed, is marked by a P: jim dara bagh ... – PowerPoint PPT presentation

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Title: Butterpillar or Caterfly?


1
Butterpillar or Caterfly?
  • The Bangla Passive in a Minimalist Parser
  • Tanmoy Bhattacharya
  • Department of Linguistics
  • University of Delhi
  • tanmoy_at_linguistics.du.ac.in

2
What is the talk about
  • Passive template historically is a result of a
    certain tension within the body of the clause
  • Incorporation, verb-shell, smuggling, of PP
    can capture the tension
  • Invites treatment in a Minimalist Parser
  • Importing syntactic analysis as it is does not
    work

3
The Place of Passive in the PP Frameworks
  • Later GB severance between the active and the
    passive form ?
  • Different derivational histories
  • Misses the generalization about how we think of
    passives ?not out of the blue
  • Passive is more surfacey
  • Can we capture this in Minimalism?

4
Evaluation Matrix and the Passive
  • Evaluation matrix (EM) is a collection of Economy
    Principles (Last Resort, Least Effort,
    Procrastinate, etc.)
  • Evaluation is of only convergent derivations
  • Passive and Active are comparable, passive wins
    out later, iff speakers intention had
    dethematicization of subject
  • Passive/ active are one until EM acts

5
The Passive in Bangla
  • Very prolific
  • Analytic Passive pass pplaux v
  • a. ama-ke dEkha jay
  • me-dat seen goes
  • b. dEkha jay (impersonal)
  • Agent, if expressed, is marked by a P
  • jim dara bagh-Ta mar-a gEche
  • Jim by tiger-cla kill-pass go.ppl.3
  • The tiger has been killed by Jim.

6
Idiomatic Passive forms
7
The Revised Passive Template
  • GEN subject
  • ama-r dara bagh mar-a hObe
  • I-gen by tiger kill-pass be.fut
  • Tiger will be killed by me.
  • Revised Passive template
  • (NP-gen by) NP V-a be V

8
Similarity with the Gerund
  • Gerunds have GEN subject too
  • ama-r boi pOR-a
  • I-gen book read-ger
  • my reading book.
  • The P dara in passive can be dropped
  • amar kOfi ken-a holo
  • I-gen book read-pass became
  • Coffee was bought by me.
  • Norwegian
  • Det vart kjøpte kaffe
  • it became bought coffee
  • There was bought coffee. (Ã…farli 1992)

9
LR Parsing and the Passive-Gerund Ambiguity
  • (1) a. (jOn dara) boi pORa hoeche
  • J-(gen) by book read.pass be.ppl.3
  • b. joner boi pORa hoeche
  • .gen book read.pass be.ppl.3
  • the book has been read by J.
  • The VPs are identical
  • Difference (i) Non-optionality of the subject
    (of the DP)in (b), and (ii) GEN on the subject in
    (b)
  • GEN cased DP cant be recovered

10
First Parse of the Gerund/Passive
  • (A) If GEN, mark a on V as GER
  • Parsing Question How is the next V analysed?
  • (a) If zero N, select T and check NOM on N
  • (b) When V is scanned, -a triggers a PASS vP
  • (c) PASS selects an unaccusative VP
  • Rule If 2 NPs, the V is not PASS, or if (A),
    then??
  • (d) GEN triggers (i) POSS DP, or (ii) GER
  • (e) If the next V is a, (i) is rejected, parser
    backtracks to (ii)
  • (f) When another V, (ii) is also rejected ??

11
How to Recover the POSS DP
  • PASS with POSS DP
  • joner bagh mara gEche
  • John.gen tiger killed go.ppl.3
  • Johns tiger has been killed.

12
Algorithm for both Types of Light Verbs
  • i. joner bagh
  • ii. mara
  • A ger expects N/ø and main V
  • B pass expects LV
  • iii gEche C rejects (iiA)
  • D proceeds as pass
  • OR,If
  • iii. hoeche
  • then apply R1
  • R1 NPgen a-gt no pass
  • iv. reject (iiB) ? ger tree projected

13
Algorithm for POSS DP
  • But still no POSS DP parse!
  • ii. mara
  • A as before
  • B1joner bagh ø mara
  • B2 joner baghdat mara
  • iii. gEche
  • C rejects (iiA)
  • D proceeds with B
  • d1 rejects B1, apply R2 gEche takes nom
  • d2 accept B2
  • OR
  • iii. hoeche
  • E accept A ? generates poss tree
  • F reject B

14
Algorithm for the PASS Parse
  • For this, we need yet another rule
  • Rule 3 ho can take NP-nom at Spec,T and NP-dat
    at Spec,v
  • Now, step (iii) above becomes
  • (iii) hoeche
  • E accepts A ? ger
  • F rejects B1
  • G accepts B2 ? apply R3? pass (23b)
  • We needed 3 ad hoc rules (Rule 1-3) to resolve
    the passive/ gerund ambiguity

15
Butterpillar/ Caterfly
  • Trapped energy, caterpillar waiting to burst into
    a butterfly (C?B)
  • Opposite view butterfly shrinking to a
    caterpillar (B?C)
  • Both possibilities in Passive
  • Clipping the wings of EA (B?C)
  • History and synchrony (C?B)

16
History of the Bangla Passive
  • -a lt denominative aya
  • Obscured by causative aw
  • a. daMR stick gt daMRay stands
  • b. tOl bottom gt tOlay goes to the bottom
  • Distinction between DENOM and CAUS is lost
  • ? Verbalise (N?V) C ?B
  • Both find syntactic analogues
  • incorporation (shelf ? shelve)
  • V ? v
  • feed (example par excellence)

17
History of the Passive Agent
  • NCase P
  • Loss of Case in MIA ? NAff PCase
  • Skt extended P-use to verbal forms (pass ppl, prs
    ppl) influenced by Dravidian (IE regarding,
    during, concerning)
  • a. kore having done
  • b. diye having given
  • c. dara inst of dvar through the
    instrumentality of
  • PV (a and b) PN (c) B?C

18
Syntax of the Caterfly Effect
  • Surfacing of v Bypassing v
  • Collins (2005) Smuggling
  • VoiceP
  • 2
  • 2
  • voice vP
  • 2
  • PP 2
  • v ltPartPgt

19
Smuggling in Bangla
  • TP
  • 2
  • 2
  • VcP T
  • 2
  • 2
  • vP Vc
  • 2
  • amar dara 2
  • PrtP v
  • 2 hoeche
  • VP Prt
  • 2 -a
  • boi V
  • pOR-
  •  

20
Minimalist Parser and Minimalism
  • Similarity Incremental Processing
  • Differences with Minimalism
  • Unavailability of Lexical Array (LA)
  • No place for Merge/ Move in a LR parser since
    they are bottom up ETs are the alternatives to
    them
  • Move Box to capture effects of ?-theory
  • Probe Box to capture Case and PIC

21
Lexicon of a MP

22
Elementary Trees
23
Move Box and Probe ox
  • Move Box Preference Rule
  • When filling open positions, always prefer the
    Move Box over the input
  • Elements involving Agree are picked from the
  • most current Probe stored in the Probe Box
  • Agree(p,g) if
  • a. Match(p,g) holds. Then
  • b. Value(p,g) for matching features
  • c. Value(p,g) for property value(f)

24
Parse
  • a. Given a category X, pick an ET headed by X
  • b. From the Move Box or input
  • i. Fill in the Spec
  • ii. Run Agree(p,g) if both p,g are non-empty
  • ii. Fill in the Head
  • iv. Copy h to Probe Box if h is a probe
  • iii. Fill in the complement by recursively
    calling parse with X where X has lexical
    property select(X)

25
Smuggling in a Minimalist Parser?
26
Failure of Pass Parse with/ without Smuggling
  • Agree(T,Spec-Vc) will not take whole PRT, but
    only the Obj
  • Obj wrongly valued nom
  • If Obj moves alone, again Agree will value Case
    as nom, wrongly
  • Movement of Obj not possible
  • Vc is not required

27
Conclusions
  • A Minimalist Parsing algorithm cannot mimic
    syntactic object movement outside the VP shell
  • Voice Phrase is unnecessary
  • Probe-Goal Syntax in Minimalist Inquiries finds
    support from the Parser
  • Movement to any higher functional position (Agro)
    is unimplementable
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