PHPCLANCHILDES with regular expressions

13 matches in 13 utterances

11.32 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (258 utterances, 1,148 words searched).

  1. le(t) me see . MOT · eng_USA_Brown/sarah137.cha, line 37 · Sarah 5;00
  2. here # le(t) me see . MOT · eng_USA_Brown/sarah137.cha, line 56 · Sarah 5;00
  3. let me spray it . MOT · eng_USA_Brown/sarah137.cha, line 58 · Sarah 5;00
  4. you tell me . GAI · eng_USA_Brown/sarah137.cha, line 62 · Sarah 5;00
  5. no # you're telling me letters . GAI · eng_USA_Brown/sarah137.cha, line 82 · Sarah 5;00
  6. you tell me . GAI · eng_USA_Brown/sarah137.cha, line 120 · Sarah 5;00
  7. if they don't work right # they make me very angry . GAI · eng_USA_Brown/sarah137.cha, line 273 · Sarah 5;00
  8. so Sarah said Gail doesn't give me any money . MOT · eng_USA_Brown/sarah137.cha, line 385 · Sarah 5;00
  9. Gail doesn't bring me any money, she said . MOT · eng_USA_Brown/sarah137.cha, line 388 · Sarah 5;00
  10. what about me ? GAI · eng_USA_Brown/sarah137.cha, line 452 · Sarah 5;00
  11. where do you want me to go ? GAI · eng_USA_Brown/sarah137.cha, line 659 · Sarah 5;00
  12. it's a mystery to me . GAI · eng_USA_Brown/sarah137.cha, line 722 · Sarah 5;00
  13. give me another hint . GAI · eng_USA_Brown/sarah137.cha, line 746 · Sarah 5;00
  1. eng_USA_Brown/sarah137.cha, line 37 · Sarah, 5;0.25
    CHISandra # not Ann_Marie .
    CHIAnn +/.
    MOT*MOT: le(t) me see .
    CHIme see .
    MOTyou think you'll live ?
  2. eng_USA_Brown/sarah137.cha, line 56 · Sarah, 5;0.25
    GAImmhm .
    CHIhey # what did dat write ?
    MOT*MOT: here # le(t) me see .
    MOTlet me spray it .
    CHIwhat does that spell ?
  3. eng_USA_Brown/sarah137.cha, line 58 · Sarah, 5;0.25
    CHIhey # what did dat write ?
    MOThere # le(t) me see .
    MOT*MOT: let me spray it .
    CHIwhat does that spell ?
    GAIyou tell me .
  4. eng_USA_Brown/sarah137.cha, line 62 · Sarah, 5;0.25
    MOTlet me spray it .
    CHIwhat does that spell ?
    GAI*GAI: you tell me .
    CHII don't know .
    GAIwhat are the letters ?
  5. eng_USA_Brown/sarah137.cha, line 82 · Sarah, 5;0.25
    GAIyes .
    CHIare you tellin(g) me letters ?
    GAI*GAI: no # you're telling me letters .
    CHIwhat this spells ?
    GAIwhat this spells ?
  6. eng_USA_Brown/sarah137.cha, line 120 · Sarah, 5;0.25
    MOTright # that's today's date .
    CHIwhat is that ?
    GAI*GAI: you tell me .
    MOTSarah .
    CHIit's red .
  7. eng_USA_Brown/sarah137.cha, line 273 · Sarah, 5;0.25
    CHIyeah .
    GAIif they work right # I like em .
    GAI*GAI: if they don't work right # they make me very angry .
    CHIthis one works right ?
    MOTwhat ?
  8. eng_USA_Brown/sarah137.cha, line 385 · Sarah, 5;0.25
    MOTor somethin(g) from Harvard .
    MOTI don't know how he said it .
    MOT*MOT: so Sarah said Gail doesn't give me any money .
    MOTGail doesn't bring me any money, she said .
    CHIwanna play tic_tac_toe ?
  9. eng_USA_Brown/sarah137.cha, line 388 · Sarah, 5;0.25
    MOTI don't know how he said it .
    MOTso Sarah said Gail doesn't give me any money .
    MOT*MOT: Gail doesn't bring me any money, she said .
    CHIwanna play tic_tac_toe ?
    GAIif you'd like .
  10. eng_USA_Brown/sarah137.cha, line 452 · Sarah, 5;0.25
    CHIyeah .
    GAIoh # ok .
    GAI*GAI: what about me ?
    CHIyou'll have a # um # x@l .
    CHIyou know how you write x@l-s ?
  11. eng_USA_Brown/sarah137.cha, line 659 · Sarah, 5;0.25
    MOTeverything is why .
    CHIoh your turn .
    GAI*GAI: where do you want me to go ?
    CHIsomewhere .
    CHInot right here .
  12. eng_USA_Brown/sarah137.cha, line 722 · Sarah, 5;0.25
    GAII haven't the vaguest idea .
    CHIwhat ?
    GAI*GAI: it's a mystery to me .
    CHIno .
    GAIwhat is it ?
  13. eng_USA_Brown/sarah137.cha, line 746 · Sarah, 5;0.25
    GAIwhat kinds of places have windows ?
    CHIwhat is it ?
    GAI*GAI: give me another hint .
    CHIwindows (a)n(d) # like dis .
    CHIlike that .

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. Sarah eng_USA_Brown11.32
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah137.chaSarah 5;0.251,148131311.32

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. me13 · 100.0%