PHPCLANCHILDES with regular expressions

12 matches in 12 utterances

3.10 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (932 utterances, 3,866 words searched).

  1. it'll be sort of like # um # Becky's bed . MOT · eng_USA_Brown/eve15.cha, line 1127 · Eve 2;01
  2. it'll be like that . MOT · eng_USA_Brown/eve15.cha, line 1144 · Eve 2;01
  3. those look like cups to me . MOT · eng_USA_Brown/eve15.cha, line 2089 · Eve 2;01
  4. would you like to share one with Papa ? MOT · eng_USA_Brown/eve15.cha, line 2468 · Eve 2;01
  5. what color would you like ? MOT · eng_USA_Brown/eve15.cha, line 2791 · Eve 2;01
  6. would you like an orange one or a grape one ? MOT · eng_USA_Brown/eve15.cha, line 2794 · Eve 2;01
  7. when you get big like Mom . MOT · eng_USA_Brown/eve15.cha, line 3644 · Eve 2;01
  8. do you like it ? MOT · eng_USA_Brown/eve15.cha, line 4532 · Eve 2;01
  9. do you like him with glasses on ? MOT · eng_USA_Brown/eve15.cha, line 4672 · Eve 2;01
  10. it looks more like Cromer # doesn't it . MOT · eng_USA_Brown/eve15.cha, line 4692 · Eve 2;01
  11. would you like some soup ? MOT · eng_USA_Brown/eve15.cha, line 5066 · Eve 2;01
  12. he'd like to show you . MOT · eng_USA_Brown/eve15.cha, line 5373 · Eve 2;01
  1. eng_USA_Brown/eve15.cha, line 1127 · Eve, 2;1.
    MOTyou can climb in it .
    MOT# sure you can .
    MOT*MOT: it'll be sort of like # um # Becky's bed .
    MOTyou know the bed that Becky has ?
    CHIwhat ?
  2. eng_USA_Brown/eve15.cha, line 1144 · Eve, 2;1.
    MOTthat Becky sleeps in .
    MOTher very own bed .
    MOT*MOT: it'll be like that .
    CHIBecky go sleep in other bed with [/] with me .
    MOTshe's gonna sleep in it with you ?
  3. eng_USA_Brown/eve15.cha, line 2089 · Eve, 2;1.
    MOTis that a railroad ?
    CHIyeah .
    MOT*MOT: those look like cups to me .
    MOTthat's not a railroad .
    MOTthese are cups .
  4. eng_USA_Brown/eve15.cha, line 2468 · Eve, 2;1.
    MOTthere is no tapioca .
    MOTthat's mine .
    MOT*MOT: would you like to share one with Papa ?
    CHIuhhuh .
    MOTright .
  5. eng_USA_Brown/eve15.cha, line 2791 · Eve, 2;1.
    MOTyou gonna have a Fizzie ?
    CHIyeah .
    MOT*MOT: what color would you like ?
    MOTwould you like an orange one or a grape one ?
    CHIa grape one .
  6. eng_USA_Brown/eve15.cha, line 2794 · Eve, 2;1.
    CHIyeah .
    MOTwhat color would you like ?
    MOT*MOT: would you like an orange one or a grape one ?
    CHIa grape one .
    MOTalright .
  7. eng_USA_Brown/eve15.cha, line 3644 · Eve, 2;1.
    CHIwhen I get big like Mom .
    MOTthat's right .
    MOT*MOT: when you get big like Mom .
    CHIbut Cromer and Fraser bigger .
    MOTthey're big # yes .
  8. eng_USA_Brown/eve15.cha, line 4532 · Eve, 2;1.
    CHISue # this is tapioca .
    MOTI know it is .
    MOT*MOT: do you like it ?
    CHIit white .
    MOTit is white .
  9. eng_USA_Brown/eve15.cha, line 4672 · Eve, 2;1.
    CHI<I don't like> [//] I like Cromer .
    MOTdo you ?
    MOT*MOT: do you like him with glasses on ?
    CHIyep .
    MOTthere .
  10. eng_USA_Brown/eve15.cha, line 4692 · Eve, 2;1.
    MOTis that better ?
    CHIyep .
    MOT*MOT: it looks more like Cromer # doesn't it .
    CHIdifferent like Cromer .
    MOTdifferent ?
  11. eng_USA_Brown/eve15.cha, line 5066 · Eve, 2;1.
    CHIyou won't .
    MOTI won't xxx going to eat my soup .
    MOT*MOT: would you like some soup ?
    CHIuhhuh .
    CHISue # that some noodle soup .
  12. eng_USA_Brown/eve15.cha, line 5373 · Eve, 2;1.
    CHIlet me see teeth .
    MOTwell ask him .
    MOT*MOT: he'd like to show you .
    CHII have teeth .
    MOTyou're getting new teeth too .

Matches by age

One dot per transcript: matches per 1,000 words of everyone but CHI. Dots of the same child are joined.

Matches by child

Matches per 1,000 words, all transcripts of each child together, highest first.

  1. Eve eng_USA_Brown3.10
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/eve15.chaEve 2;1.3,86612123.10

What the pattern matched

1 different forms (lowercased). Useful to see what a pattern really catches: unexpected forms here usually mean the pattern is too broad.

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