PHPCLANCHILDES with regular expressions

13 matches in 13 utterances

2.88 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (1,033 utterances, 4,516 words searched).

  1. that's noodle soup . MOT · eng_USA_Brown/eve13.cha, line 1125 · Eve 2;00
  2. noodle soup . MOT · eng_USA_Brown/eve13.cha, line 1131 · Eve 2;00
  3. noodle soup . MOT · eng_USA_Brown/eve13.cha, line 1137 · Eve 2;00
  4. you haven't eaten your noodle soup so far . MOT · eng_USA_Brown/eve13.cha, line 1372 · Eve 2;00
  5. noodle soup ? COL · eng_USA_Brown/eve13.cha, line 5431 · Eve 2;00
  6. I like noodle soup . COL · eng_USA_Brown/eve13.cha, line 5437 · Eve 2;00
  7. can I get some noodle soup too ? MOT · eng_USA_Brown/eve13.cha, line 5449 · Eve 2;00
  8. I'd like a spoon to eat my noodle soup . MOT · eng_USA_Brown/eve13.cha, line 5455 · Eve 2;00
  9. is there more noodle soup over there # Eve ? MOT · eng_USA_Brown/eve13.cha, line 5484 · Eve 2;00
  10. noodle soup from the coffee+pot ? MOT · eng_USA_Brown/eve13.cha, line 5499 · Eve 2;00
  11. hey # where's my noodle soup ? FAT · eng_USA_Brown/eve13.cha, line 5502 · Eve 2;00
  12. it's very good noodle soup . FAT · eng_USA_Brown/eve13.cha, line 5526 · Eve 2;00
  13. I don't know if they're having noodle soup or not . MOT · eng_USA_Brown/eve13.cha, line 6138 · Eve 2;00
  1. eng_USA_Brown/eve13.cha, line 1125 · Eve, 2;0.
    CHIwhat name that soup ?
    MOTwhat's the name of that soup ?
    MOT*MOT: that's noodle soup .
    CHIeh ?
    MOTnoodle soup .
  2. eng_USA_Brown/eve13.cha, line 1131 · Eve, 2;0.
    MOTthat's noodle soup .
    CHIeh ?
    MOT*MOT: noodle soup .
    CHIwhat is name ?
    MOTnoodle soup .
  3. eng_USA_Brown/eve13.cha, line 1137 · Eve, 2;0.
    MOTnoodle soup .
    CHIwhat is name ?
    MOT*MOT: noodle soup .
    CHItwo noodle soup ?
    MOTthere are two different kinds of noodles in there # yes .
  4. eng_USA_Brown/eve13.cha, line 1372 · Eve, 2;0.
    CHIit for me .
    MOTno it's not .
    MOT*MOT: you haven't eaten your noodle soup so far .
    CHIneed more tapioca .
    CHIhi # Sarah .
  5. eng_USA_Brown/eve13.cha, line 5431 · Eve, 2;0.
    COLand what are you making ?
    CHInoodle soup .
    COL*COL: noodle soup ?
    COLoh that's very good .
    COLI like noodle soup .
  6. eng_USA_Brown/eve13.cha, line 5437 · Eve, 2;0.
    COLnoodle soup ?
    COLoh that's very good .
    COL*COL: I like noodle soup .
    CHICromer # you like noodle soup ?
    RICoh # yes .
  7. eng_USA_Brown/eve13.cha, line 5449 · Eve, 2;0.
    RICoh # yes .
    CHII like [/] like noodle soup .
    MOT*MOT: can I get some noodle soup too ?
    MOTthank you .
    MOTI'd like a spoon to eat my noodle soup .
  8. eng_USA_Brown/eve13.cha, line 5455 · Eve, 2;0.
    MOTcan I get some noodle soup too ?
    MOTthank you .
    MOT*MOT: I'd like a spoon to eat my noodle soup .
    MOTcan you find me a spoon ?
    MOThmm ?
  9. eng_USA_Brown/eve13.cha, line 5484 · Eve, 2;0.
    CHI0 .
    MOTthank you very much .
    MOT*MOT: is there more noodle soup over there # Eve ?
    CHIhmm ?
    MOTI'd like some more please .
  10. eng_USA_Brown/eve13.cha, line 5499 · Eve, 2;0.
    MOTI'd like some more please .
    CHIxxx some xxx .
    MOT*MOT: noodle soup from the coffee+pot ?
    FAThey # where's my noodle soup ?
    MOTyou forgot to give some to Papa .
  11. eng_USA_Brown/eve13.cha, line 5502 · Eve, 2;0.
    CHIxxx some xxx .
    MOTnoodle soup from the coffee+pot ?
    FAT*FAT: hey # where's my noodle soup ?
    MOTyou forgot to give some to Papa .
    MOTthere aren't enough pans # Dave .
  12. eng_USA_Brown/eve13.cha, line 5526 · Eve, 2;0.
    MOTwhat d(o) you have in there ?
    FATthank you .
    FAT*FAT: it's very good noodle soup .
    CHII go get some .
    CHIno xxx more pans .
  13. eng_USA_Brown/eve13.cha, line 6138 · Eve, 2;0.
    MOTthey're having their lunch too .
    CHIthey having noodle soup ?
    MOT*MOT: I don't know if they're having noodle soup or not .
    CHIthat Pap_Cummings .
    MOTI know that's Papa Cummings .

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_Brown2.88
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/eve13.chaEve 2;0.4,51613132.88

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.

  1. noodle13 · 100.0%