PHPCLANCHILDES with regular expressions

6 matches in 5 utterances

3.71 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (451 utterances, 1,619 words searched).

  1. you've done all these , haven't you ? MOT · eng_british_Manchester_I/becky34a.cha, line 24 · Becky 2;11
  2. you've done all these . MOT · eng_british_Manchester_I/becky34a.cha, line 28 · Becky 2;11
  3. +, you've got to count how many of these other roses . MOT · eng_british_Manchester_I/becky34a.cha, line 175 · Becky 2;11
  4. these [//] see these buns here ? MOT · eng_british_Manchester_I/becky34a.cha, line 334 · Becky 2;11
  5. these [//] see these buns here ? MOT · eng_british_Manchester_I/becky34a.cha, line 334 · Becky 2;11
  6. these are hot+cross(ed) buns . MOT · eng_british_Manchester_I/becky34a.cha, line 336 · Becky 2;11
  1. eng_british_Manchester_I/becky34a.cha, line 24 · Becky, 2;11.15
    CHIno .
    CHIwhat is there one ?
    MOT*MOT: you've done all these , haven't you ?
    CHIwhat ?
    MOTyou've done all these .
  2. eng_british_Manchester_I/becky34a.cha, line 28 · Becky, 2;11.15
    MOTyou've done all these , haven't you ?
    CHIwhat ?
    MOT*MOT: you've done all these .
    CHI<I want to> [/] I wanted to go xxx .
    MOTit's over there on the table , look .
  3. eng_british_Manchester_I/becky34a.cha, line 175 · Becky, 2;11.15
    MOTwhat you've got to do is +...
    CHIyeah .
    MOT*MOT: +, you've got to count how many of these other roses .
    MOTyou've got to count how many roses there are .
    MOTso can you use your finger ?
  4. eng_british_Manchester_I/becky34a.cha, line 334 · Becky, 2;11.15
    MOTwanna draw a ring round it ?
    CHIxxx .
    MOT*MOT: these [//] see these buns here ?
    MOTthese are hot+cross(ed) buns .
    CHIyeah .
  5. eng_british_Manchester_I/becky34a.cha, line 336 · Becky, 2;11.15
    CHIxxx .
    MOTthese [//] see these buns here ?
    MOT*MOT: these are hot+cross(ed) buns .
    CHIyeah .
    MOTbut they've got no crosses on them , have they ?

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_I3.71
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky34a.chaBecky 2;11.151,619563.71

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. these6 · 100.0%