PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

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

  1. <it has to> [/] it has to go with that bit in first . MOT · eng_british_Manchester_II/liz03a.cha, line 275 · Liz 2;00
  2. what're you going to <do with them> [>] ? MOT · eng_british_Manchester_II/liz03a.cha, line 421 · Liz 2;00
  3. we haven't built anything with these bricks , have we ? MOT · eng_british_Manchester_II/liz03a.cha, line 735 · Liz 2;00
  4. I'll put that with my fork , shall I ? INV · eng_british_Manchester_II/liz03a.cha, line 1173 · Liz 2;00
  5. I'll do them with you Liz . MOT · eng_british_Manchester_II/liz03a.cha, line 1252 · Liz 2;00
  6. do you want to take them to Mum and do them with her ? INV · eng_british_Manchester_II/liz03a.cha, line 1266 · Liz 2;00
  7. with his eyes on . MOT · eng_british_Manchester_II/liz03a.cha, line 1637 · Liz 2;00
  1. CHIthere .
    MOTyeah .
    MOT*MOT: <it has to> [/] it has to go with that bit in first .
    MOTshall I show you ?
    CHIyeah .
  2. CHIoh: .
    MOTokay .
    MOT*MOT: what're you going to <do with them> [>] ?
    CHI<green one> [<] .
    MOTthe green one there ?
  3. CHIgone .
    MOTI tell you what we haven't done Liz .
    MOT*MOT: we haven't built anything with these bricks , have we ?
    MOTdo you remember all these bricks ?
    MOTdid you want to look at a book ?
  4. INVa knife for me ?
    INVthank you .
    INV*INV: I'll put that with my fork , shall I ?
    INVon there .
    MOTthank you .
  5. MOTI forgot about those .
    MOThere you are .
    MOT*MOT: I'll do them with you Liz .
    INVdo you want to do this ?
    INVlet's have a look .
  6. INVis that a clown ?
    CHIyeah .
    INV*INV: do you want to take them to Mum and do them with her ?
    CHIyeah .
    INVyeah .
  7. MOTare you going to put his other ear in here ?
    MOThave a look at the pictures # and find his other ear .
    MOT*MOT: with his eyes on .
    MOTit's got his eyes on as well .
    CHIthere .

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_II3.66
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/liz03a.chaLiz 2;0.071,914773.66

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. with7 · 100.0%