PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.93 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (414 utterances, 1,779 words searched).

  1. does she wear it like a bib ? MOT · eng_british_Manchester_II/warr11b.cha, line 349 · Warren 2;01
  2. like that ? MOT · eng_british_Manchester_II/warr11b.cha, line 351 · Warren 2;01
  3. like that . MOT · eng_british_Manchester_II/warr11b.cha, line 534 · Warren 2;01
  4. see what it looks like . MOT · eng_british_Manchester_II/warr11b.cha, line 555 · Warren 2;01
  5. you could get a job on a building site , Warren with trousers like these . MOT · eng_british_Manchester_II/warr11b.cha, line 1009 · Warren 2;01
  6. I'd like some peach slices . MOT · eng_british_Manchester_II/warr11b.cha, line 1048 · Warren 2;01
  7. who do you think you are lying there like that , Warren ? MOT · eng_british_Manchester_II/warr11b.cha, line 1068 · Warren 2;01
  1. MOTI suppose she could wear it , couldn't she ?
    CHIbib .
    MOT*MOT: does she wear it like a bib ?
    MOTlike that ?
    MOTor the other way round ?
  2. CHIbib .
    MOTdoes she wear it like a bib ?
    MOT*MOT: like that ?
    MOTor the other way round ?
    CHIway round .
  3. MOTfor them to fit on .
    MOTand then that one'll fit in the middle .
    MOT*MOT: like that .
    MOTspin his head round so he's looking at you .
    MOTare they all looking ?
  4. MOTthen they can sit on much more comfortably .
    MOTcan Mummy try a little experiment ?
    MOT*MOT: see what it looks like .
    MOTlook .
    MOTthey can all see you as they're driving towards you .
  5. MOTI can feel your little heart beating .
    MOTcrumbs .
    MOT*MOT: you could get a job on a building site , Warren with trousers like these .
    CHItrain .
    CHItrains .
  6. MOThere , look .
    MOTin my pantry .
    MOT*MOT: I'd like some peach slices .
    CHIopen it .
    CHIopen it .
  7. CHImore toys .
    INVhaven't got any more .
    MOT*MOT: who do you think you are lying there like that , Warren ?
    CHImore toys , Mummy .
    MOTpardon ?

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. Warren eng_british_Manchester_II3.93
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr11b.chaWarren 2;1.281,779773.93

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.

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