PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.85 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (431 utterances, 1,559 words searched).

  1. are you giving her to me ? MOT · eng_british_Manchester_II/liz01a.cha, line 22 · Liz 1;11
  2. Roo's spilt her drink, hasn't she ? MOT · eng_british_Manchester_II/liz01a.cha, line 936 · Liz 1;11
  3. so her Mummy's cleaning it up . MOT · eng_british_Manchester_II/liz01a.cha, line 943 · Liz 1;11
  4. are you taking her for a walk ? MOT · eng_british_Manchester_II/liz01a.cha, line 1173 · Liz 1;11
  5. are you trying to squash her ? MOT · eng_british_Manchester_II/liz01a.cha, line 1177 · Liz 1;11
  6. squash her ? MOT · eng_british_Manchester_II/liz01a.cha, line 1184 · Liz 1;11
  1. MOTpoor baby .
    MOTwhat're you going to do with your baby ?
    MOT*MOT: are you giving her to me ?
    MOTyou can speak if you like you know .
    MOTshall we have a play with your house ?
  2. MOTmmhm .
    CHIstand up .
    MOT*MOT: Roo's spilt her drink, hasn't she ?
    MOTit was an accident though .
    CHIyes .
  3. MOTit was an accident though .
    CHIyes .
    MOT*MOT: so her Mummy's cleaning it up .
    MOTand what have they got to eat ?
    CHIsandwich .
  4. MOTmmhm .
    MOTthat's your baby .
    MOT*MOT: are you taking her for a walk ?
    MOToh dear .
    MOTare you trying to squash her ?
  5. MOTare you taking her for a walk ?
    MOToh dear .
    MOT*MOT: are you trying to squash her ?
    MOThmm ?
    CHIsquash her .
  6. MOThmm ?
    CHIsquash her .
    MOT*MOT: squash her ?
    MOToh dear .
    MOTpoor baby .

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_II3.85
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/liz01a.chaLiz 1;11.091,559663.85

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. her6 · 100.0%