PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

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

  1. let's put that under there out of the way . MOT · eng_british_Manchester_I/becky12b.cha, line 247 · Becky 2;03
  2. +, a bunch of bananas ? MOT · eng_british_Manchester_I/becky12b.cha, line 951 · Becky 2;03
  3. make it into Becky's face with lots of curls . MOT · eng_british_Manchester_I/becky12b.cha, line 1491 · Becky 2;03
  4. get rid of it . MOT · eng_british_Manchester_I/becky12b.cha, line 1588 · Becky 2;03
  5. and they have sort of beards as well , don't they ? MOT · eng_british_Manchester_I/becky12b.cha, line 1716 · Becky 2;03
  1. eng_british_Manchester_I/becky12b.cha, line 247 · Becky, 2;3.27
    MOTpretend .
    INVxxx .
    MOT*MOT: let's put that under there out of the way .
    CHIcheese .
    CHIwho brought this ?
  2. eng_british_Manchester_I/becky12b.cha, line 951 · Becky, 2;3.27
    MOTwhat else do you think he might like to eat ?
    MOTdo you think he might like +...
    MOT*MOT: +, a bunch of bananas ?
    CHIyeah .
    CHIxxx .
  3. eng_british_Manchester_I/becky12b.cha, line 1491 · Becky, 2;3.27
    CHImy xxx .
    MOTI could make it into a face , couldn't I ?
    MOT*MOT: make it into Becky's face with lots of curls .
    CHII like curls .
    CHII do .
  4. eng_british_Manchester_I/becky12b.cha, line 1588 · Becky, 2;3.27
    MOTdoes it ?
    MOTI don't think it does .
    MOT*MOT: get rid of it .
    MOTit's not very good cow .
    CHIxxx .
  5. eng_british_Manchester_I/becky12b.cha, line 1716 · Becky, 2;3.27
    MOTthat's that thing on it's head , look .
    MOTcan you see it ?
    MOT*MOT: and they have sort of beards as well , don't they ?
    MOTI don't think baby ones have beards though .
    INVwww .

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_I3.03
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky12b.chaBecky 2;3.271,651553.03

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.

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