PHPCLANCHILDES with regular expressions

9 matches in 7 utterances

6.32 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (433 utterances, 1,425 words searched).

  1. the man put the microphone on Mommy . MOT · eng_USA_Bloom/allison2.cha, line 46 · Allison 1;07
  2. the man put the microphone on . MOT · eng_USA_Bloom/allison2.cha, line 64 · Allison 1;07
  3. let's put something in the truck . MOT · eng_USA_Bloom/allison2.cha, line 967 · Allison 1;07
  4. let's put the duck in the truck . MOT · eng_USA_Bloom/allison2.cha, line 974 · Allison 1;07
  5. let's <put her in the bath> [//] put her in the tub . MOT · eng_USA_Bloom/allison2.cha, line 1768 · Allison 1;07
  6. let's <put her in the bath> [//] put her in the tub . MOT · eng_USA_Bloom/allison2.cha, line 1768 · Allison 1;07
  7. oh, let's put her in here, put her in in the cup . MOT · eng_USA_Bloom/allison2.cha, line 1774 · Allison 1;07
  8. oh, let's put her in here, put her in in the cup . MOT · eng_USA_Bloom/allison2.cha, line 1774 · Allison 1;07
  9. man put that microphone on, right . MOT · eng_USA_Bloom/allison2.cha, line 2055 · Allison 1;07
  1. CHIman .
    CHIman .
    MOT*MOT: the man put the microphone on Mommy .
    CHIbox .
    MOTbox .
  2. CHIbox .
    CHIman .
    MOT*MOT: the man put the microphone on .
    MOTright .
    CHIMommy .
  3. MOTbrrm@o brrm@o .
    CHI0 .
    MOT*MOT: let's put something in the truck .
    MOTmaybe the duck would like to ride in the truck .
    MOTdo you think so ?
  4. MOTmaybe the duck would like to ride in the truck .
    MOTdo you think so ?
    MOT*MOT: let's put the duck in the truck .
    MOTshall we ?
    MOTwe ?
  5. MOTbath ?
    MOTok .
    MOT*MOT: let's <put her in the bath> [//] put her in the tub .
    CHI0 .
    MOTthere (i)s a tub .
  6. CHI0 .
    MOTthere (i)s a tub .
    MOT*MOT: oh, let's put her in here, put her in in the cup .
    MOTlet's pretend there (i)s water in the cup .
    CHI0 .
  7. MOTmicrophone .
    CHIman .
    MOT*MOT: man put that microphone on, right .
    CHIMommy .
    MOTwhat ?

Matches by age

One dot per transcript: matches per 1,000 words of everyone but CHI. Dots of the same child are joined.

Matches by child

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

  1. Allison eng_USA_Bloom6.32
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Bloom/allison2.chaAllison 1;7.141,425796.32

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. put9 · 100.0%