PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.41 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (434 utterances, 1,757 words searched).

  1. hasn't she got long hair ? MOT · eng_british_Manchester_II/liz03b.cha, line 15 · Liz 2;00
  2. is she nice ? MOT · eng_british_Manchester_II/liz03b.cha, line 17 · Liz 2;00
  3. she can have a look at what else you're doing . MOT · eng_british_Manchester_II/liz03b.cha, line 31 · Liz 2;00
  4. yeah she just let you play with them for a bit . MOT · eng_british_Manchester_II/liz03b.cha, line 1018 · Liz 2;00
  5. while she's here . MOT · eng_british_Manchester_II/liz03b.cha, line 1021 · Liz 2;00
  6. she had a nice day . MOT · eng_british_Manchester_II/liz03b.cha, line 1367 · Liz 2;00
  1. CHIbaby .
    MOToh: .
    MOT*MOT: hasn't she got long hair ?
    MOTis she nice ?
    CHIlong hair .
  2. MOToh: .
    MOThasn't she got long hair ?
    MOT*MOT: is she nice ?
    CHIlong hair .
    MOTyeah .
  3. MOThere you are .
    MOT<I'll just> [/] I'll just sit her here for now .
    MOT*MOT: she can have a look at what else you're doing .
    MOTwhat's that ?
    MOTdo you know what it looks like ?
  4. CHIplay with it .
    CHIplay with it .
    MOT*MOT: yeah she just let you play with them for a bit .
    MOTwhile she's here .
    CHIplay with it .
  5. CHIplay with it .
    MOTyeah she just let you play with them for a bit .
    MOT*MOT: while she's here .
    CHIplay with it .
    MOTmmhm .
  6. CHIout tunnel .
    CHIit out tunnel .
    MOT*MOT: she had a nice day .
    CHIout tunnel .
    INVdid you come out of the tunnel ?

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_II3.41
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/liz03b.chaLiz 2;0.071,757663.41

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. she6 · 100.0%