Modal Verbs of Probability Through the Song

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    Modal Verbs ofProbability

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    Modal verbs

    should

    Ought to

    Have to could

    must

    may

    can

    Моdal verbs

    • We use can toexpress…

    • We use mustto express…

    • We useshould to

    express…

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    Translate

    • I must leaveShe must be tired

    • I must have left  She must have read

      He must have frowned

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    You will watch a video,which is connected withrammar!

    Write down new

    information ongrammar or keywords.

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    must = probability -

    uchu24.ru"#$%&' ()'*$"

    must-probability.html

    •video

    http://uchu24.ru/video/must-probability.htmlhttp://uchu24.ru/video/must-probability.htmlhttp://uchu24.ru/http://uchu24.ru/videohttp://uchu24.ru/video/must-probability.htmlhttp://uchu24.ru/video/must-probability.htmlhttp://uchu24.ru/video/must-probability.htmlhttp://uchu24.ru/video/must-probability.htmlhttp://uchu24.ru/video/must-probability.htmlhttp://uchu24.ru/video/must-probability.htmlhttp://uchu24.ru/videohttp://uchu24.ru/http://uchu24.ru/video/must-probability.htmlhttp://uchu24.ru/video/must-probability.htmlhttp://uchu24.ru/video/must-probability.htmlhttp://uchu24.ru/video/must-probability.html

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    Must hae ! past participle

    •must =

    probability

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    You didn+t et an

    sleep last niht, so!!!Your idea -

    You must be tirednow!

    You are probably tired now!

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    She drives a Mercedes and lives

    in a bi house• "our idea -

    • She must hae a lot of mone!

    • .oes she have a lot of mone/

    • She probably has o lot of mone!

    • It+s possible she is poor, but

      she lies in a big house# and it$strue.

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    0ate spea1s 2nlish ver well!

    • "our idea = 

    She must hae studied for man ears

    3past probabilit4

      .id she stud for man ears/ 5erhaps,not! 6ut she spea1s 2nlish well!

      "our idea =

      She must hae been a ood student!

    3past probabilit4

      Was she a ood student/

      5erhaps, not! 6ut she spea1s 2nlish well!

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    7ompare sentences

    • She drives a Mercedes and lives ina bi house! She must hae a lotof mone!

    • She spea1s 2nlish ver well!

      She must hae studied forman ears!

    • You didn+t et an sleep last niht,so!!! You must be tired now!

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    %o sum up&

    I must have left

    I miht have leftI could have left• Here someone is

    describin somethinthat possibl happenedin the past

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    'ie your own ideas aboutsomething that possibly happenedin the past

    8! Someone brouht ou this pac1ae!

    (t must hae#

    9! She called him in the mornin, but he didn+t answer!

    )e must hae#:! ;nn was late for school!

    *he must hae#

    )e must hae#

     

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    'ie your own ideas aboutsomething that possibly happened

    in the past

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    You will hear a ver famousson with new rammar

    Modal Verbs of ProbabilityWatch the ideo and say who

     or which band is singing.

    http&++ideo.yande,.ru+u

    http://video.yandex.ru/users/sei-music/view/134/http://video.yandex.ru/users/sei-music/view/134/http://video.yandex.ru/users/sei-music/view/134/http://video.yandex.ru/users/sei-music/view/134/http://video.yandex.ru/users/sei-music/view/134/http://video.yandex.ru/users/sei-music/view/134/http://video.yandex.ru/users/sei-music/view/134/

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    %asks to the song /%he

    day before you came#0• 1ook at the words and phrases from the song.

    What do you think the song is about

    • My train left the station

    • the morning paper 

    • the usual place, the usual bunch

    o the day before you cameI was blue

    • I'm sure my life was well within it's usual frame

    • and stopped along the way 

    • I need a lot of sleep

    • I had no sense of living without aim

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    '13**5"• due = >? @)$A! 84 %'ABCDE, CF%A&BFG$E, ''J&J(KG$E

    • editorial = >? . @)$A! )&%F*')*$E, )&%F*L$'CCDE  2. (G! @&)&%'JF, )&%F*L$'CCF FN, @&)&%'J$LF

    • Orown = >fraun? . PA! 84 Q')&N C&'%'R)$&ANC' Q()$N R)'J$ CF(@$N

    • heaps of papers = >? . (G! 84 P)(%F, *(UF, QFF

    • bunch = ? . (G!84 JV*F @(U'* @FU*F  94 R(*& 3цветов4 :4 )FVP! P)(@@F, *'Q@FC$ 

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    %he day before you camehttp&++www.delightenglish.ru+songs.htm

    http://video.yandex.ru/users/sei-music/view/1!/

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    Wor1in with the text of the son, elicit andtranslate Modal Verbs of Probability

    I must have left my house at eight, because I always doMy train, I'm certain, left the station just when it was dueI must have read the morning paper going into townAnd having gotten through the editorial,no doubt I must have frowned

    I must have made my desk around a quarter after nineWith letters to be read, and heaps of papers waiting to be signedI must have gone to lunch at half past twelve or sohe usual place, the usual bunchAnd still on top of this I'm pretty sure it must have rainedhe day before you came

    I must have lit my seventh cigarette at half past twoAnd at the time I never even noticed I was blueI must have kept on dragging through the business of the dayWithout really knowing anything, I hid a part of me away

    At five I must have left, there's no e!ception to the ruleA matter of routine, I've done it ever since I finished schoolhe train back home again"ndoubtedly I must have read the evening paper then#h yes, I'm sure my life was well within it's usual framehe day before you came

    Must have opened my front door at eight o'clock or soAnd stopped along the way to buy some $hinese food to goI'm sure I had my dinner watching something on %here's not, I think, a single episode of &allas that I didn't seeI must have gone to bed around a quarter after ten

    I need a lot of sleep, and so I like to be in bed by then I musthave read a whilehe latest one by Marilyn rench or something in that styleIt's funny, but I had no sense of living without aimhe day before you came

    And turning out the lightI must have yawned and cuddled up for yet another nightAnd rattling on the roof I must have heard the sound of rainhe day before you came

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    .o exercises on Modal Verbs of Probability7lick here to download this e,ercise in P86 9with answers:5eiew the e,planation about modals of probability here

    • 5ut in ;must ! infinitie; 3for somethin thatXs li1el about thepresent4 or;must ! hae ! past participle; 3for somethinthatXs li1el about the past4]

    • 8! Where is .avid/ He ^^^^^^^^^^^^^^^^^ 3be4 at school! 7lassesbein at _!

    • 9! She^^^^^^^^^^^^^^^^^ 3thin14 that it is a ood idea! ItXs cra`

    • :! IXm absolutel sure The ^^^^^^^^^^^^^^^^^ 3arrive4 esterda, Isaw their tic1et!

    • enouh mone!

    • ! The ^^^^^^^^^^^^^^^^^ 3live4 in ew Yor1, but IXm not sure!

    • ! The concert ^^^^^^^^^^^^^^^^^3be4 wonderful last niht! Oiore is areat conductor!

    • [! ohn ̂ ^^^^^^^^^^^^^^^^^^^^^^ 3be4 at wor1, or perhaps he+s at them or even the pub

    • _! ane ^^^^^^^^^^^^^^^^^^^^^^^ 3leave4 the part with ohn lastniht, but I+m not sure!

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    02YS Tg TH2 227IS2

    • 8! must be

    • 9! can+t thin1

    • :! must have arrived

    • ! miht live

    • ! must have been

    • [! could be• _! mamiht have left