PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

3.23 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (649 utterances, 2,790 words searched).

  1. we really like the big kind. MOT · downs-flusberg/jerryt.cha, line 63
  2. she must really know what you like to do. MOT · downs-flusberg/jerryt.cha, line 118
  3. that one is really yellow. MOT · downs-flusberg/jerryt.cha, line 309
  4. do you really like it? MOT · downs-flusberg/jerryt.cha, line 458
  5. that's really good. MOT · downs-flusberg/jerryt.cha, line 558
  6. is her name really curly? MOT · downs-flusberg/jerryt.cha, line 715
  7. these are really mixed up. MOT · downs-flusberg/jerryt.cha, line 770
  8. now look you really did get a nine. MOT · downs-flusberg/jerryt.cha, line 895
  9. you really did get a nine. MOT · downs-flusberg/jerryt.cha, line 898
  1. MOTshe gave you the big kind.
    CHIthankyou.
    MOT*MOT: we really like the big kind.
    CHII really like it like that.
    MOT<mhm> [/?].
  2. MOTthis guy?
    CHIthankyou.
    MOT*MOT: she must really know what you like to do.
    CHIwhat is that?
    CHII never saw that in a while.
  3. CHIsorta like a clown.
    MOTsorta like a clown, right.
    MOT*MOT: that one is really yellow.
    MOThe looks like an egg.
    CHIno, it's not ape [$0a].
  4. CHIthankyou.
    MOTI guess she knows by now.
    MOT*MOT: do you really like it?
    CHII like it.
    CHIa present.
  5. MOTI like how you keep in the lines.
    MOTthat's neat.
    MOT*MOT: that's really good.
    MOTdo you think I should color him all one color?
    MOTI think I'm going to color him just half.
  6. MOTyou called her curly?
    CHIyeah.
    MOT*MOT: is her name really curly?
    CHIyeah.
    CHIreally curly.
  7. CHII be dealer [$0a] [$0will].
    MOTwait a second.
    MOT*MOT: these are really mixed up.
    CHImixed up.
    CHIwhat?
  8. CHIthankyou.
    MOTok.
    MOT*MOT: now look you really did get a nine.
    MOTlook at this.
    CHIthankyou.
  9. MOTlook at this.
    CHIthankyou.
    MOT*MOT: you really did get a nine.
    MOTlook at this.
    CHInine.

Matches by child

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

  1. Jerryt downs-flusberg3.23
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
downs-flusberg/jerryt.chaJerryt 2,790993.23

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. really9 · 100.0%