Episode 8a. Passives and remaining issues - PowerPoint PPT Presentation

1 / 40
About This Presentation
Title:

Episode 8a. Passives and remaining issues

Description:

*Pat today ate lunch. Adverb positions Generally speaking, where an adverb attaches depends on its meaning. vP for manner adverbs, TP for temporal adverbs, – PowerPoint PPT presentation

Number of Views:40
Avg rating:3.0/5.0
Slides: 41
Provided by: PaulH228
Learn more at: https://www.bu.edu
Category:

less

Transcript and Presenter's Notes

Title: Episode 8a. Passives and remaining issues


1
CAS LX 522Syntax I
  • Episode 8a. Passives andremaining issues
  • 6.4-6.7

2
Some words from the blog
  • Several issues arose in the course of HW6 that
    may are worth highlighting here.
  • One concerns the case of the object of a
    preposition Computers break near me.
  • Now that weve incorporated case into our system,
    were stuck with it. Noun phrases come with case.
    Computers has case (nominative) and me has case
    (accusative).
  • The question is How is the case of me checked?

3
Computers break near me
  • Computers break is unaccusative theres no
    agent, and computers is the Theme/Patient, it is
    the affected object.
  • Thus, we have in our numeration
  • break V, uN
  • vunaccusative v, uInfl, uV
  • computers N, f3pl, case
  • T T, uf, pres, uN
  • As well as near and me, which well get to in a
    moment.

4
Computer break
  • First, lets just do computers break.
  • We start by merging break and computers.

VP
NPcomputersN, f3pl, case
VbreakV
5
Computers break
  • v v, uInfl, uV
  • We Merge v with VP (HoP).

vP
VP
v v, uV uInfl
NPcomputersN, f3pl, case
VbreakV
6
Computers break
  • The V moves up to adjoin to v to check the uV
    feature of v.

vP
VP
v
NPcomputersN, f3pl, case
ltVgt
v v, uV, uInfl
VbreakV
7
Computers break
  • The T is Merged with vP (HoP).
  • T has the features T, pres, uf, uN, nom.
  • The nom feature of T can now match the case
    feature of computers.

T?
vP
TT, tensepres, uf, uN, nom
VP
v
NPcomputersN, f3pl, case
ltVgt
v v, uV, uInfl
VbreakV
8
Computers break
  • The nom feature of T matches, values, and
    checks the case feature of computers, checking
    itself in the process.
  • The uf feature of T can also match the fpl
    feature of computers.

T?
vP
TT, tensepres, uf, uN, nom
VP
v
NPcomputersN, f3pl, nom
ltVgt
v v, uV, uInfl
VbreakV
9
Computers break
  • The f3pl feature of computers matches, values,
    and checks the uf feature of T.
  • The tensepres feature of T matches the
    uInfl feature of v, which will be valued by
    both the tense and f-features of T.
  • Its tensepres that matches the uInfl
    feature, but the f-features come along when the
    uInfl feature is valued.

T?
vP
TT, tensepres, uf3pl, uN, nom
VP
v
NPcomputersN, f3pl, nom
ltVgt
v v, uV, uInfl
VbreakV
10
Computers break
  • The uN feature of T matches the N feature of
    computers. This is not sufficient to check the
    uN feature because they are not local, so
    computers is moved up to SpecTP.

T?
vP
TT, tensepres, uf3pl, uN, nom
VP
v
NPcomputersN, f3pl, nom
ltVgt
v v, uV, uInflpres3pl
VbreakV
11
Computers break
  • Once the N feature of computers is a sister to
    the T? that has the uN feature (the feature
    projects from T to T?its the same feature), the
    uN feature is checked.

TP
NPcomputersN, f3pl, nom
T?
vP
TT, tensepres, uf3pl, uN, nom
VP
v
ltNPgt
ltVgt
v v, uV, uInflpres3pl
VbreakV
12
Computers break near me
  • Now, lets consider Computers break near me.
  • Me is clearly accusative. Theres nothing here
    that can value a case feature as accusative. All
    were adding to this is me (which has accusative
    case) and the P near.

TP
NPcomputersN, f3pl, nom
T?
vP
TT, tensepres, uf3pl, uN, nom
VP
v
ltNPgt
ltVgt
v v, uV, uInflpres3pl
VbreakV
13
Computers break near me
  • Conclusion It must be near that is responsible
    for the accusative case on me.

PnearP, uN, acc
NPpronounN, f1sg, case
TP
NPcomputersN, f3pl, nom
T?
vP
TT, tensepres, uf3pl, uN, nom
VP
v
ltNPgt
ltVgt
v v, uV, uInflpres3pl
VbreakV
14
Computers break near me
  • Merge near and me (1sg pronoun). The N feature
    of me checks the uN feature of near. The acc
    feature of near values and checks the case
    feature of me (checking itself in the process).

PP
PnearP, uN, acc
NPpronounN, f1sg, acc
TP
NPcomputersN, f3pl, nom
T?
vP
TT, tensepres, uf3pl, uN, nom
VP
v
ltNPgt
ltVgt
v v, uV, uInflpres3pl
VbreakV
15
Near me computers break
  • The last step Adjoin the PP to the TP.
  • To the TP? Near me can appear on either side of
    TP, not vP.

TP
PP
TP
PnearP, uN, acc
NPpronounN, f1sg, acc
NPcomputersN, f3pl, nom
T?
vP
TT, tensepres, uf3pl, uN, nom
VP
v
ltNPgt
ltVgt
v v, uV, uInflpres3pl
VbreakV
16
P checks accusative
  • So, in general A preposition P
  • Has a P category feature
  • Has a uN feature, motivating a Merge with its
    object.
  • Has an acc feature, valuing and checking the
    case feature of its object.
  • T has T, uN (EPP), uf, nom
  • v has v, uInfl, uV, and, if v assigns a
    q-role, it has uN and acc.

17
Feature matching/valuation
  • A modal like might has a category feature T,
    but well say it also has a modal feature.
  • modal values a uInfl feature as none.
  • Pat might leave. They might leave.
  • If there is no modal feature, tense values a
    uInfl feature with the tense features and
    (valued) f-features.
  • Pat leaves. They leave.
  • If a uInfl on Aux (Perf and Prog) is valued by
    a tense feature, it is strong, and must be local
    to the valuing feature
  • Pat has not left.
  • Pat might not have left.

18
Double-object constructions
  • Weve by now covered the sentence
  • Pat gave books to Chris.
  • Pat, books, and Chris are all noun phrases, they
    all need case.
  • Pat gets (nom) case from T.
  • books gets (acc) case from v.
  • Chris gets (acc) case from P (to).
  • What about Pat gave Chris books?

19
givepossessive vs. givelocative
  • Notice that the two constructions mean slightly
    different things
  • Pat gave Chris books.
  • Pat caused Chris to have books.
  • Pat sent Chicago letters.
  • Pat taught preschoolers Calculus.
  • Pat gave books to Chris
  • Pat caused books (to go/be located) to Chris.
  • Pat sent letters to Chicago.
  • Pat taught Calculus to preschoolers.
  • So far, weve been dealing with givelocative.

20
Chris has books
  • If have (possessive) is somehow part of the
    meaning of givepossessive (causehave), lets
    think a bit about have.
  • In Chris has books, Chris is not an agent.
    Suppose instead that Chris is a theme/patient,
    affected by the possession.
  • Since there is no agent, suppose that Chris has
    books has the unaccusative v.
  • v v, uV, uInfl

21
Chris has books
  • We now have two NPs, and only one avenue for
    checking case (T, which will value Chris as
    nominative). Books needs (acc) case from
    somewhere. Well, what are the options?

vP
v v, uInfl, uV
VP
V?
NPChrisN, f3sg, case
NPbooksN, f3pl, case
VhaveV, uN, uN,
22
Chris has books
  • It must be that books gets case from have itself.
  • What q-role does books have?
  • UTAH does not yet cover this case (NP daughter of
    V?)

vP
v v, uInfl, uV
VP
V?
NPChrisN, f3sg, case
NPbooksN, f3pl, case
VhaveV, uN, uN, acc
23
Chris has books
  • Lets say that books has a Possessee q-role.
  • So we add to UTAH
  • NP daughter of V? Possessee.

vP
v v, uInfl, uV
VP
V?
NPChrisN, f3sg, case
NPbooksN, f3pl, acc
VhaveV, uN, uN, acc
24
Chris has books
  • Have (possessive) is a V that takes two arguments
    (uN, uN) and checks accusative case (acc).
  • Its almost like a transitive preposition
    (PHAVE).
  • Now, suppose we add an Agent.

vP
v v, uInfl, uV
VP
V?
NPChrisN, f3sg, case
NPbooksN, f3pl, acc
VhaveV, uN, uN, acc
25
Pat gave Chris books
  • That is, Pat cause Chris to have books, more or
    less.
  • Now using the vagent, we have uN, acc features
    on v as well. The acc feature can value and
    check the case on Chris.

v?
v v, uInfl, acc, uN, uV
VP
V?
NPChrisN, f3sg, case
NPbooksN, f3pl, acc
VhaveV, uN, uN, acc
26
Pat gave Chris books
  • Move V to v, Merge in Pat. Assume that
    vagenthave give (possessive), and we have Pat
    gave Chris books.
  • Pat will get its case feature checked by T
    (nom), and v will have its uInfl feature
    valued by T (past3sg).

vP
NPPatN, f3sg, case
v?
v
VP
V?
NPChrisN,f3sg,acc
VgiveV, uN,uN, acc
v v, uInfl, acc, uN,uV
NPbooksN, f3pl, acc
ltVgt
27
Adverbs
  • Before today, wed always drawn adjuncts as
    adjoined to vP. This explains why sloppily can be
    either to the left or to the right of vP
  • Pat sloppily ate lunch.
  • Pat ate lunch sloppily.
  • Pat has sloppily eaten lunch.
  • Pat has eaten lunch sloppily.
  • Quickly also seems to be able to adjoin to PerfP
    or ProgP, at least marginally.
  • ?Pat might sloppily have eaten lunch.
  • ?Pat should sloppily be eating lunch.
  • But it cant be between a subject and T
  • Pat sloppily might eat lunch.

28
Manner vs. propositional adverbs
  • Sloppily, slowly, quickly all describe the
    manner in which an action takes place. These are
    manner adverbs. They adjoin to vP.
  • There are other kinds of adverbs as well,
    however. One such kind are propositional adverbs
    perhaps, fortunately, interestingly. These
    express a kind of attitude on the part of the
    speaker toward the content of the sentence.

29
Propositional adverbs
  • Propositional adverbs seem to adjoin to TP.
  • Fortunately, Pat ate lunch.
  • Pat ate lunch, fortunately.
  • ?Pat fortunately ate lunch.
  • ?Pat might have fortunately eaten lunch.
  • Temporal adverbs also seem to adjoin high.
  • Today Pat ate lunch.
  • Pat ate lunch today.
  • Pat today ate lunch.

30
Adverb positions
  • Generally speaking, where an adverb attaches
    depends on its meaning.
  • vP for manner adverbs, TP for temporal adverbs,
  • Notice that we predict this now
  • Yesterday Pat completely finished lunch.
  • Pat ate lunch completely yesterday.
  • Pat ate lunch yesterday completely.
  • Later, perhaps, well consider additional
    complexity in adverb placement.

31
Passives
  • The passive construction is one where
  • The original subject disappears (or is moved to a
    by-phrase)
  • The original object becomes the subject.
  • The verb appears as bepassive participle.
  • The passive participle in English sounds just
    like the perfective participle.
  • Pat took pretzels. active
  • Pretzels were taken (by Pat). passive

32
Passives
  • Pat stole books.
  • Books were stolen (by Pat).
  • In both cases, books is getting the Theme/Patient
    q-role. By UTAH, it must be originally Merged as
    NP daughter of VP, in both the active and the
    passive.
  • In fact, the passive is a lot like the
    unaccusative. An underlying object becomes the
    subject.

33
Passives
  • We dont need anything really new for the
    passive, just the passive auxiliary Pass.
  • be Pass, uInfl selects a vunaccusative.
  • By selecting for vunaccusative, the passive
    auxiliary removes an Agent.
  • Not allowed for intransitives, an open mystery.
  • The passive auxiliary works like other
    auxiliaries Pass can value a lower uInfl
    feature, if Pass own uInfl feature is valued
    by a tense feature, it is strong.
  • Lunch was not eaten.
  • Pass is the last auxiliary in the HoP
  • Lunch may not have been being eaten.
  • T gt (Neg) gt (Perf) gt (Prog) gt (Pass) gt v gt V

34
Lunch was eaten
  • For Lunch was eaten, we Merge eat and lunch to
    build the VP, then Merge an unaccusative v

vP
VP
v v, uV,uInfl
NPlunchN, f3sg, case
VeatV, uN
35
Lunch was eaten
  • The V moves up to adjoin to v to check the uV
    feature of v.
  • The Pass auxiliary is Merged (HoP).
  • Pass matches, values, checks uInfl on v.

PassP
vP
PassbePass, uInfl
VP
v
ltVgt
VeatV, uN
v v, uV,uInfl
NPlunchN, f3sg, case
36
Lunch was eaten
  • T is Merged (HoP).
  • nom on T matches, values, checks case on
    lunch.
  • f3sg on lunch matches, values, checks uf on
    T.
  • past on T matches, values uInfl on Pass.

T?
PassP
TT, tensepast, uf, uN, nom
vP
PassbePass, uInfl
VP
v
ltVgt
VeatV, uN
v v, uV, uInflpass
NPlunchN, f3sg, case
37
Lunch was eaten
  • Pass moves to T (checks uInflpast on Pass).

T?
PassP
T
ltPassgt
PassbePass,uInflpast
TT, tensepast, uf3sg, uN,nom
vP
VP
v
ltVgt
VeatV, uN
v v, uV, uInflpass
NPlunchN, f3sg, nom
38
Lunch was eaten
  • Lunch moves to SpecTP (checks uN on T).

TP
T?
NPlunchN, f3sg, nom
PassP
T
ltPassgt
PassbePass,uInflpast
TT, tensepast, uf3sg, uN,nom
vP
VP
v
ltVgt
VeatV, uN
v v, uV, uInflpass
ltNPgt
39
Ditransitive passives
  • Consider again Pat gave Chris books.
  • Chris was given books.
  • Books were given Chris.
  • (Exercise 6.5) Pat gave books to Chris.
  • Books were given to Chris.
  • Chris was given books to.

40
?
  • ? ?
  • ?
  • ? ?
  • ? ?
  • ?
  • ?
Write a Comment
User Comments (0)
About PowerShow.com