PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

5.58 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (335 utterances, 1,075 words searched).

  1. what are they doing? MOT · downs-flusberg/billyt.cha, line 224
  2. what are they doing? MOT · downs-flusberg/billyt.cha, line 244
  3. <how are you today sir> [/?]? MOT · downs-flusberg/billyt.cha, line 327
  4. <how are you today sir> [/?]? MOT · downs-flusberg/billyt.cha, line 337
  5. <how are you today sir> [/?]? MOT · downs-flusberg/billyt.cha, line 636
  6. how are you? MOT · downs-flusberg/billyt.cha, line 687
  1. MOTwanna count?
    CHIcount.
    MOT*MOT: what are they doing?
    CHIbear bears.
    MOTwhat's this?
  2. MOT<three bears out hunting> [/?].
    MOT<I spy baby bunting> [/?].
    MOT*MOT: what are they doing?
    CHIbyebye.
    MOTwhat's this look like?
  3. CHIhand.
    MOT<here I am> [/?].
    MOT*MOT: <how are you today sir> [/?]?
    MOT<very fine today sir> [/?].
    MOT<run away> [/?].
  4. MOT<here I am> [/?].
    MOT<here I am> [/?].
    MOT*MOT: <how are you today sir> [/?]?
    MOT<run away> [/?].
    MOT<run away> [/?].
  5. MOT<here I am> [/?].
    MOT<here I am> [/?].
    MOT*MOT: <how are you today sir> [/?]?
    MOTbilly do.
    MOTbilly do.
  6. MOThere look.
    MOThi billy.
    MOT*MOT: how are you?
    MOTwanna make a new face?
    MOTlook.

Matches by child

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

  1. Billyt downs-flusberg5.58
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
downs-flusberg/billyt.chaBillyt 1,075665.58

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. are6 · 100.0%