PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.73 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (364 utterances, 1,609 words searched).

  1. we don't need all these carrier bags . GRA · bilingual_eng_Deuchar/861023eg.cha, line 22 · M 1;03
  2. you don't like that <what a horrid old boot isn't it> [?] # mummy's favourite s… GRA · bilingual_eng_Deuchar/861023eg.cha, line 53 · M 1;03
  3. don't you think it's amazing she picks this out of the whole thing . MOT · bilingual_eng_Deuchar/861023eg.cha, line 208 · M 1;03
  4. <I don't know> [>] . GRA · bilingual_eng_Deuchar/861023eg.cha, line 454 · M 1;03
  5. <you don't say da ["] usually> [?] . MOT · bilingual_eng_Deuchar/861023eg.cha, line 500 · M 1;03
  6. don't you think Granny's shoes are horrible ? MOT · bilingual_eng_Deuchar/861023eg.cha, line 800 · M 1;03
  1. CHIyyy .
    GRA*GRA: we don't need all these carrier bags .
    GRAI'll put one under your # um # what's the name # shall I ?
    CHIyyy .
  2. GRAwhat's this M ?
    CHIyyy .
    GRA*GRA: you don't like that <what a horrid old boot isn't it> [?] # mummy's favourite shoes # were your shoes all right ?
    MOTsorry ?
    GRAcobbler # were you pleased with the cobbler ?
  3. CHIyyy .
    MOTshe looked at the car .
    MOT*MOT: don't you think it's amazing she picks this out of the whole thing .
    GRA<mmm yes the cars are very important xxx red cars> [?] [>] .
    CHIyyy [<] .
  4. MOTthat's why you said that could be a &ga isn't it ?
    MOTwhich I think she must have got <by looking at um> [//] by hearing clock .
    GRA*GRA: <I don't know> [>] .
    GRAyes [<] # she might have done # yes .
    MOTshe spent one entire meal at the university pointing to the clock on the wall and saying &ga .
  5. MOTwhat's this ?
    CHIyyy .
    MOT*MOT: <you don't say da ["] usually> [?] .
    CHIyyy .
    MOTyou changed his <name have you> [>] ?
  6. GRAGranny cleaned her shoes this morning .
    CHIyyy .
    MOT*MOT: don't you think Granny's shoes are horrible ?
    CHIyyy .
    MOTI think you're fed up .

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. M bilingual_eng_Deuchar3.73
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_Deuchar/861023eg.chaM 1;3.291,609663.73

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. don't6 · 100.0%