PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.33 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (337 utterances, 1,289 words searched).

  1. shall we take dolly's dress off ? MOT · eng_british_Manchester_I/becky14b.cha, line 870 · Becky 2;04
  2. do you think she perhaps needs a dress on first , Becky ? MOT · eng_british_Manchester_I/becky14b.cha, line 1181 · Becky 2;04
  3. you're playing with the cows while I put the dress on , are you ? MOT · eng_british_Manchester_I/becky14b.cha, line 1225 · Becky 2;04
  1. eng_british_Manchester_I/becky14b.cha, line 870 · Becky, 2;4.28
    MOTthere we are .
    CHIoff .
    MOT*MOT: shall we take dolly's dress off ?
    CHImmhm .
    MOTI think you can take that off yourself , look .
  2. eng_british_Manchester_I/becky14b.cha, line 1181 · Becky, 2;4.28
    MOTshall I put it on ?
    CHImmhm .
    MOT*MOT: do you think she perhaps needs a dress on first , Becky ?
    CHIno .
    CHIno .
  3. eng_british_Manchester_I/becky14b.cha, line 1225 · Becky, 2;4.28
    CHIwant to play cows .
    MOToh .
    MOT*MOT: you're playing with the cows while I put the dress on , are you ?
    MOTI see .
    CHIoh .

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. Becky eng_british_Manchester_I2.33
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky14b.chaBecky 2;4.281,289332.33

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. dress3 · 100.0%