PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

4.85 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (427 utterances, 1,651 words searched).

  1. it's a cow , Becky . MOT · eng_british_Manchester_I/becky12b.cha, line 109 · Becky 2;03
  2. that's the Mummy cow , look . MOT · eng_british_Manchester_I/becky12b.cha, line 115 · Becky 2;03
  3. and there's the baby cow . MOT · eng_british_Manchester_I/becky12b.cha, line 117 · Becky 2;03
  4. you want me to draw a cow ? MOT · eng_british_Manchester_I/becky12b.cha, line 1534 · Becky 2;03
  5. I'm drawing a cow . MOT · eng_british_Manchester_I/becky12b.cha, line 1565 · Becky 2;03
  6. this is a cow . MOT · eng_british_Manchester_I/becky12b.cha, line 1567 · Becky 2;03
  7. does that look like a cow ? MOT · eng_british_Manchester_I/becky12b.cha, line 1580 · Becky 2;03
  8. it's not very good cow . MOT · eng_british_Manchester_I/becky12b.cha, line 1590 · Becky 2;03
  1. MOTno .
    MOTthat's not a baby doggie .
    MOT*MOT: it's a cow , Becky .
    MOTwho's this ?
    CHIit 0is [*] a Mummy cow .
  2. MOTwho's this ?
    CHIit 0is [*] a Mummy cow .
    MOT*MOT: that's the Mummy cow , look .
    MOTand there's the baby cow .
    CHIhe naughty .
  3. CHIit 0is [*] a Mummy cow .
    MOTthat's the Mummy cow , look .
    MOT*MOT: and there's the baby cow .
    CHIhe naughty .
    MOTcan you say +...
  4. CHIbless .
    MOTbless you .
    MOT*MOT: you want me to draw a cow ?
    CHIyeah .
    MOTwith this ?
  5. CHIno .
    CHIdo a cow .
    MOT*MOT: I'm drawing a cow .
    MOTthis is a cow .
    MOTI'm not very good at drawing cows .
  6. CHIdo a cow .
    MOTI'm drawing a cow .
    MOT*MOT: this is a cow .
    MOTI'm not very good at drawing cows .
    MOTthere , look .
  7. CHIxxx .
    MOTthere .
    MOT*MOT: does that look like a cow ?
    CHIyeah .
    MOTdoes it ?
  8. MOTI don't think it does .
    MOTget rid of it .
    MOT*MOT: it's not very good cow .
    CHIxxx .
    CHIa goose .

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_I4.85
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky12b.chaBecky 2;3.271,651884.85

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. cow8 · 100.0%