PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.13 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (472 utterances, 1,914 words searched).

  1. you're a bit busy , are you ? MOT · eng_british_Manchester_II/liz03a.cha, line 131 · Liz 2;00
  2. <it has to> [/] it has to go with that bit in first . MOT · eng_british_Manchester_II/liz03a.cha, line 275 · Liz 2;00
  3. yeah you have to wiggle it a bit . MOT · eng_british_Manchester_II/liz03a.cha, line 355 · Liz 2;00
  4. what bit have you got there ? MOT · eng_british_Manchester_II/liz03a.cha, line 1358 · Liz 2;00
  5. that bit . MOT · eng_british_Manchester_II/liz03a.cha, line 1373 · Liz 2;00
  6. I think the wheel needs to go in that round bit there . MOT · eng_british_Manchester_II/liz03a.cha, line 1526 · Liz 2;00
  1. eng_british_Manchester_II/liz03a.cha, line 131 · Liz, 2;0.07
    CHIno .
    MOTno okay .
    MOT*MOT: you're a bit busy , are you ?
    CHIout .
    CHIout .
  2. eng_british_Manchester_II/liz03a.cha, line 275 · Liz, 2;0.07
    CHIthere .
    MOTyeah .
    MOT*MOT: <it has to> [/] it has to go with that bit in first .
    MOTshall I show you ?
    CHIyeah .
  3. eng_british_Manchester_II/liz03a.cha, line 355 · Liz, 2;0.07
    MOTturn it round .
    CHIwiggle [x 2] .
    MOT*MOT: yeah you have to wiggle it a bit .
    MOTso that it's round that way .
    MOTlike this .
  4. eng_british_Manchester_II/liz03a.cha, line 1358 · Liz, 2;0.07
    MOTwell done .
    MOTthat's half of his face .
    MOT*MOT: what bit have you got there ?
    CHIthere .
    MOToh <I think> [/] I think you've got some of his nose , haven't you ?
  5. eng_british_Manchester_II/liz03a.cha, line 1373 · Liz, 2;0.07
    MOTthat's part of his nose .
    MOTand that's part of his nose .
    MOT*MOT: that bit .
    MOTthat hole .
    CHIthere .
  6. eng_british_Manchester_II/liz03a.cha, line 1526 · Liz, 2;0.07
    CHIthere .
    MOToh: that doesn't look quite right .
    MOT*MOT: I think the wheel needs to go in that round bit there .
    MOTthe wheel .
    MOTcan you see the wheel ?

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. Liz eng_british_Manchester_II3.13
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/liz03a.chaLiz 2;0.071,914663.13

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. bit6 · 100.0%