PHPCLANCHILDES with regular expressions

7 matches in 6 utterances

2.90 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (545 utterances, 2,414 words searched).

  1. shall we see if this little dress fit [//] fits your dolly ? MOT · eng_british_Manchester_I/anne10b.cha, line 14 · Anne 2;01
  2. one fits this dolly . MOT · eng_british_Manchester_I/anne10b.cha, line 17 · Anne 2;01
  3. the hat fits this dolly better then it does Rachel's dolly ,, doesn't it ? MOT · eng_british_Manchester_I/anne10b.cha, line 49 · Anne 2;01
  4. the hat fits this dolly better then it does Rachel's dolly ,, doesn't it ? MOT · eng_british_Manchester_I/anne10b.cha, line 49 · Anne 2;01
  5. you look beautiful , dolly . MOT · eng_british_Manchester_I/anne10b.cha, line 56 · Anne 2;01
  6. oh dolly's going to the # zoo to look at the animals . MOT · eng_british_Manchester_I/anne10b.cha, line 451 · Anne 2;01
  7. is dolly driving the car ? MOT · eng_british_Manchester_I/anne10b.cha, line 571 · Anne 2;01
  1. MOT*MOT: shall we see if this little dress fit [//] fits your dolly ?
    MOTone fits this dolly .
    MOThmm .
  2. MOTshall we see if this little dress fit [//] fits your dolly ?
    MOT*MOT: one fits this dolly .
    MOThmm .
    MOTI think Rachel's left it at somebody's house .
  3. CHIno .
    MOTthere .
    MOT*MOT: the hat fits this dolly better then it does Rachel's dolly ,, doesn't it ?
    MOTthere .
    MOTyou look beautiful , dolly .
  4. MOTthe hat fits this dolly better then it does Rachel's dolly ,, doesn't it ?
    MOTthere .
    MOT*MOT: you look beautiful , dolly .
    MOTdoes she look beautiful ?
    CHIyou got that one .
  5. MOTyes shoes on .
    MOTthat one's got shoes on ,, hasn't he ?
    MOT*MOT: oh dolly's going to the # zoo to look at the animals .
    MOThere she comes .
    MOToh ["] she says .
  6. MOTis she going to get in her car ?
    MOTwho's driving the car ?
    MOT*MOT: is dolly driving the car ?
    MOToh park the car .
    MOTxxx car+park .

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. Anne eng_british_Manchester_I2.90
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/anne10b.chaAnne 2;1.082,414672.90

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. dolly7 · 100.0%