PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

6.39 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (397 utterances, 1,409 words searched).

  1. fall over then . INV · eng_british_Manchester_II/joel08a.cha, line 96 · Joel 2;01
  2. you get in your car then . INV · eng_british_Manchester_II/joel08a.cha, line 215 · Joel 2;01
  3. I take it you like Rachel then . MOT · eng_british_Manchester_II/joel08a.cha, line 288 · Joel 2;01
  4. who's that then ? INV · eng_british_Manchester_II/joel08a.cha, line 482 · Joel 2;01
  5. was you thinking then ? MOT · eng_british_Manchester_II/joel08a.cha, line 634 · Joel 2;01
  6. so why are you reading it then ? MOT · eng_british_Manchester_II/joel08a.cha, line 797 · Joel 2;01
  7. who's that then ? MOT · eng_british_Manchester_II/joel08a.cha, line 1023 · Joel 2;01
  8. <who's> [<] that then ? MOT · eng_british_Manchester_II/joel08a.cha, line 1033 · Joel 2;01
  9. then we can get some more toys out, can't we ? INV · eng_british_Manchester_II/joel08a.cha, line 1058 · Joel 2;01
  1. MOTdizzy now .
    INVare you ?
    INV*INV: fall over then .
    MOTwww .
    CHI&a fit .
  2. MOTshut the door .
    CHIin car .
    INV*INV: you get in your car then .
    MOTwhere're you gonna [: going to] go ?
    CHIxxx .
  3. CHIno .
    INVoh okay .
    MOT*MOT: I take it you like Rachel then .
    MOTmaking your # gooey eyes at her .
    CHIRachel .
  4. INVit's Rosie and Jim .
    INVI know they all look a little bit alike .
    INV*INV: who's that then ?
    INVthat's John .
    INVbut who's this here ?
  5. MOTare you thinking ?
    MOToh .
    MOT*MOT: was you thinking then ?
    MOTwas it hard ?
    CHIxxx .
  6. CHIno .
    MOTno .
    MOT*MOT: so why are you reading it then ?
    RACI don't think you're reading .
    RACI think you're hiding .
  7. MOTsay hello .
    MOTwhat was that for ?
    MOT*MOT: who's that then ?
    MOTwho is it ?
    CHIno .
  8. MOTno .
    MOTright .
    MOT*MOT: <who's> [<] that then ?
    CHIno .
    MOTare you just in one of those moods today ?
  9. MOTare you tired ?
    INVnearly done .
    INV*INV: then we can get some more toys out, can't we ?
    MOToh .
    MOTyou like Caroline's toys , don't you ?

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. Joel eng_british_Manchester_II6.39
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/joel08a.chaJoel 2;1.101,409996.39

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. then9 · 100.0%