PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.38 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (545 utterances, 1,777 words searched).

  1. what did we say this was . MOT · eng_british_Manchester_I/becky02b.cha, line 32 · Becky 2;00
  2. is that what you did it on ? INV · eng_british_Manchester_I/becky02b.cha, line 163 · Becky 2;00
  3. did we have cream with our strawberrys yesterday ? MOT · eng_british_Manchester_I/becky02b.cha, line 1400 · Becky 2;00
  4. what did you say to that [//] the window ? MOT · eng_british_Manchester_I/becky02b.cha, line 1799 · Becky 2;00
  5. did you say you wanted him to go through the window [>] ? MOT · eng_british_Manchester_I/becky02b.cha, line 1807 · Becky 2;00
  6. what [/] what did tiger do ? MOT · eng_british_Manchester_I/becky02b.cha, line 1859 · Becky 2;00
  1. eng_british_Manchester_I/becky02b.cha, line 32 · Becky, 2;0.14
    MOTlet's have a look what else is in here .
    MOTcan you tell me what we've got in here .
    MOT*MOT: what did we say this was .
    CHIa bun .
    CHIa bread .
  2. eng_british_Manchester_I/becky02b.cha, line 163 · Becky, 2;0.14
    MOThmm ?
    CHIow .
    INV*INV: is that what you did it on ?
    MOTno I don't think so .
    CHIchin .
  3. eng_british_Manchester_I/becky02b.cha, line 1400 · Becky, 2;0.14
    MOTthen it's nice to eat, is it ?
    INVwww .
    MOT*MOT: did we have cream with our strawberrys yesterday ?
    CHIyeah .
    MOTwas it nice ?
  4. eng_british_Manchester_I/becky02b.cha, line 1799 · Becky, 2;0.14
    MOTwww .
    CHIow .
    MOT*MOT: what did you say to that [//] the window ?
    MOTxxx .
    MOTit doesn't come off there .
  5. eng_british_Manchester_I/becky02b.cha, line 1807 · Becky, 2;0.14
    MOTit doesn't come off there .
    MOTit doesn't come off .
    MOT*MOT: did you say you wanted him to go through the window [>] ?
    CHIyeah [<] .
    INVyeah .
  6. eng_british_Manchester_I/becky02b.cha, line 1859 · Becky, 2;0.14
    MOTwhat's he done ?
    CHIthrough .
    MOT*MOT: what [/] what did tiger do ?
    MOThe went through ?
    CHIyeah .

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_I3.38
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky02b.chaBecky 2;0.141,777663.38

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. did6 · 100.0%