PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.63 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (480 utterances, 1,930 words searched).

  1. you wanna count them? MOT · downs-flusberg/charles4.cha, line 174
  2. <oh> [/?] you wanna count them? MOT · downs-flusberg/charles4.cha, line 257
  3. count, ok. MOT · downs-flusberg/charles4.cha, line 267
  4. we'll count them. MOT · downs-flusberg/charles4.cha, line 346
  5. we'll put them in and we'll count all that are in there now. MOT · downs-flusberg/charles4.cha, line 347
  6. not two, you wanna count? MOT · downs-flusberg/charles4.cha, line 357
  7. <oh> [/?] you wanna count the bears? MOT · downs-flusberg/charles4.cha, line 668
  1. downs-flusberg/charles4.cha, line 174
    CHIxxx <seven> [/?].
    MOT<seven> [/?] no, that's not seven.
    MOT*MOT: you wanna count them?
    CHIno.
    MOT<one> [/?].
  2. downs-flusberg/charles4.cha, line 257
    CHIcount.
    CHIcount.
    MOT*MOT: <oh> [/?] you wanna count them?
    CHIcount green.
    MOT<oh> [/?].
  3. downs-flusberg/charles4.cha, line 267
    MOTyou want mommy to do it?
    CHIcount.
    MOT*MOT: count, ok.
    MOT<one, two> [/?].
    CHI<three> [/?].
  4. downs-flusberg/charles4.cha, line 346
    MOTallright.
    CHIcount.
    MOT*MOT: we'll count them.
    MOTwe'll put them in and we'll count all that are in there now.
    MOThow many?
  5. downs-flusberg/charles4.cha, line 347
    CHIcount.
    MOTwe'll count them.
    MOT*MOT: we'll put them in and we'll count all that are in there now.
    MOThow many?
    CHI<one> [/?].
  6. downs-flusberg/charles4.cha, line 357
    CHItwo blocks.
    MOTno.
    MOT*MOT: not two, you wanna count?
    MOT<one> [/?].
    CHI<one> [/?].
  7. downs-flusberg/charles4.cha, line 668
    MOTbears?
    CHIcount.
    MOT*MOT: <oh> [/?] you wanna count the bears?
    CHIbears.
    MOThow many bears?

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/charles4.chaCharles 1,930773.63

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. count7 · 100.0%