PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

2.87 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (443 utterances, 2,089 words searched).

  1. how many ? MOT · eng_USA_Brown/adam03.cha, line 340 · Adam 2;04
  2. how do you spell your name # Adam ? MOT · eng_USA_Brown/adam03.cha, line 595 · Adam 2;04
  3. how many play toys do you have ? MOT · eng_USA_Brown/adam03.cha, line 988 · Adam 2;04
  4. how can I drink so much coffee ? MOT · eng_USA_Brown/adam03.cha, line 1740 · Adam 2;04
  5. how did you hurt your knee ? MOT · eng_USA_Brown/adam03.cha, line 2709 · Adam 2;04
  6. how did you hurt your arm ? MOT · eng_USA_Brown/adam03.cha, line 2718 · Adam 2;04
  1. eng_USA_Brown/adam03.cha, line 340 · Adam, 2;4.03
    CHIdat busy bulldozer # truck .
    CHIbusy bulldozer truck .
    MOT*MOT: how many ?
    CHItwo busy bulldozer .
    CHIred yellow .
  2. eng_USA_Brown/adam03.cha, line 595 · Adam, 2;4.03
    CHIwhat train ?
    CHIa@l m@l a@l m@l .
    MOT*MOT: how do you spell your name # Adam ?
    CHIget a pencil .
    CHIhave a pencil ?
  3. eng_USA_Brown/adam03.cha, line 988 · Adam, 2;4.03
    CHIcome play toy .
    CHIplay toy play toy play toy play toy .
    MOT*MOT: how many play toys do you have ?
    CHIplay toy .
    CHIplay toy .
  4. eng_USA_Brown/adam03.cha, line 1740 · Adam, 2;4.03
    MOTwhere ?
    CHIright dere .
    MOT*MOT: how can I drink so much coffee ?
    CHIAdam drink coffee .
    MOT+" oh # Adam will drink some coffee too .
  5. eng_USA_Brown/adam03.cha, line 2709 · Adam, 2;4.03
    CHIhurt knee .
    MOT+" hurt your knee ?
    MOT*MOT: how did you hurt your knee ?
    CHIhurt knee chair .
    MOT+" on the chair ?
  6. eng_USA_Brown/adam03.cha, line 2718 · Adam, 2;4.03
    MOT+" on the chair ?
    CHIhurt arm .
    MOT*MOT: how did you hurt your arm ?
    CHIhurt chair .
    MOT+" you hurt your arm on the chair .

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. Adam eng_USA_Brown2.87
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/adam03.chaAdam 2;4.032,089662.87

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. how6 · 100.0%