PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.63 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (536 utterances, 1,928 words searched).

  1. you have lots of blue on today. MOT · downs-flusberg/charles2.cha, line 552
  2. they have that. MOT · downs-flusberg/charles2.cha, line 561
  3. <oops> [/?] gonna have a blue nose? MOT · downs-flusberg/charles2.cha, line 645
  4. gonna have yellow shoes. MOT · downs-flusberg/charles2.cha, line 683
  5. we'll have to wipe it off some other time when we can get the sponge wet. MOT · downs-flusberg/charles2.cha, line 721
  6. lookit all these trucks I have. MOT · downs-flusberg/charles2.cha, line 730
  7. an oil truck, we don't have an oil truck, do we? MOT · downs-flusberg/charles2.cha, line 762
  1. downs-flusberg/charles2.cha, line 552
    CHIblue.
    MOTis your shirt blue?
    MOT*MOT: you have lots of blue on today.
    CHIfit.
    MOTput the blue one down here.
  2. downs-flusberg/charles2.cha, line 561
    MOT<oh> [/?] what's that?
    CHIhave.
    MOT*MOT: they have that.
    MOTwhat is it?
    CHIthis.
  3. downs-flusberg/charles2.cha, line 645
    CHI<uh> [/?].
    MOT<uh> [/?]!
    MOT*MOT: <oops> [/?] gonna have a blue nose?
    CHI<uh> [/?].
    CHImom.
  4. downs-flusberg/charles2.cha, line 683
    CHIyellow.
    MOTI'm gonna color his shoes yellow, look!
    MOT*MOT: gonna have yellow shoes.
    CHIbox?
    MOTyou're gonna put it in the box?
  5. downs-flusberg/charles2.cha, line 721
    MOTmaybe we need it to be wet.
    MOTI think we need it to be wet.
    MOT*MOT: we'll have to wipe it off some other time when we can get the sponge wet.
    CHIsponge.
    MOTsponge.
  6. downs-flusberg/charles2.cha, line 730
    CHItrucks?
    MOTlet's look at some trucks.
    MOT*MOT: lookit all these trucks I have.
    CHImore.
    MOTwhat's this?
  7. downs-flusberg/charles2.cha, line 762
    MOT<huh> [/?]?
    CHIoil.
    MOT*MOT: an oil truck, we don't have an oil truck, do we?
    CHIoil.
    MOTno.

Matches by child

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

  1. Charles downs-flusberg3.63
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
downs-flusberg/charles2.chaCharles 1,928773.63

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. have7 · 100.0%