PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

2.79 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (800 utterances, 3,230 words searched).

  1. tongue? MOT · downs-flusberg/martin05.cha, line 207
  2. we did teeth and we did tongue. MOT · downs-flusberg/martin05.cha, line 247
  3. a tongue. MOT · downs-flusberg/martin05.cha, line 382
  4. you can put a tongue, if you want. MOT · downs-flusberg/martin05.cha, line 385
  5. or would you like to put the tongue? MOT · downs-flusberg/martin05.cha, line 487
  6. a tongue? MOT · downs-flusberg/martin05.cha, line 491
  7. put the tongue in. MOT · downs-flusberg/martin05.cha, line 493
  8. a tongue. MOT · downs-flusberg/martin05.cha, line 597
  9. like your tongue. MOT · downs-flusberg/martin05.cha, line 598
  1. MOTok.
    CHIyep.
    MOT*MOT: tongue?
    MOTok.
    MOThere.
  2. MOTnow who does that look like?
    CHIdo teeth.
    MOT*MOT: we did teeth and we did tongue.
    MOTwho do you think that is?
    CHImichael.
  3. CHIhere.
    CHItongue.
    MOT*MOT: a tongue.
    CHIxxx don't want tongue.
    MOTyou can put a tongue, if you want.
  4. MOTa tongue.
    CHIxxx don't want tongue.
    MOT*MOT: you can put a tongue, if you want.
    CHIput <on the> [/?] on the teeth.
    CHInose.
  5. MOTdo you wanna put the mouth?
    CHIno.
    MOT*MOT: or would you like to put the tongue?
    MOTwhich do you think looks better?
    CHIa tongue.
  6. MOTwhich do you think looks better?
    CHIa tongue.
    MOT*MOT: a tongue?
    MOTok.
    MOTput the tongue in.
  7. MOTa tongue?
    MOTok.
    MOT*MOT: put the tongue in.
    MOTthat's it.
    MOTsilly.
  8. MOTthat's tough, <huh> [/?] mike.
    CHIa tongue.
    MOT*MOT: a tongue.
    MOTlike your tongue.
    CHIhat.
  9. CHIa tongue.
    MOTa tongue.
    MOT*MOT: like your tongue.
    CHIhat.
    MOThat.

Matches by child

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

  1. Martin downs-flusberg2.79
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
downs-flusberg/martin05.chaMartin 3,230992.79

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. tongue9 · 100.0%