PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

14.49 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (79 utterances, 276 words searched).

  1. play with those ? MOT · eng_USA_Bates/paula28.cha, line 13 · Paula 2;04
  2. what are those ? MOT · eng_USA_Bates/paula28.cha, line 18 · Paula 2;04
  3. what do you do with those ? MOT · eng_USA_Bates/paula28.cha, line 77 · Paula 2;04
  4. I think you have those done pretty well . MOT · eng_USA_Bates/paula28.cha, line 458 · Paula 2;04
  1. eng_USA_Bates/paula28.cha, line 13 · Paula, 2;4.
    MOTuh # what would you like to do ?
    CHIum play this [!] .
    MOT*MOT: play with those ?
    CHImmhm .
    MOTwhat are those ?
  2. eng_USA_Bates/paula28.cha, line 18 · Paula, 2;4.
    MOTplay with those ?
    CHImmhm .
    MOT*MOT: what are those ?
    MOTwhat are you going to do with them ?
    CHIum yyy bed .
  3. eng_USA_Bates/paula28.cha, line 77 · Paula, 2;4.
    CHIuh +...
    MOTuhhuh .
    MOT*MOT: what do you do with those ?
    CHIum go like that .
    MOTgo like that .
  4. eng_USA_Bates/paula28.cha, line 458 · Paula, 2;4.
    MOTok +...
    CHI0 [=! sighs] .
    MOT*MOT: I think you have those done pretty well .
    CHIuhhuh .
    MOTmmhm .

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. Paula eng_USA_Bates14.49
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Bates/paula28.chaPaula 2;4.2764414.49

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. those4 · 100.0%