PHPCLANCHILDES with regular expressions

13 matches in 13 utterances

26.48 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (140 utterances, 491 words searched).

  1. what's mummy doing ? GRA · bilingual_eng_Deuchar/861002eg.cha, line 15 · M 1;03
  2. what's that M ? GRA · bilingual_eng_Deuchar/861002eg.cha, line 20 · M 1;03
  3. what's the date today ? MOT · bilingual_eng_Deuchar/861002eg.cha, line 40 · M 1;03
  4. what's this then again ? GRA · bilingual_eng_Deuchar/861002eg.cha, line 45 · M 1;03
  5. what's that ? GRA · bilingual_eng_Deuchar/861002eg.cha, line 57 · M 1;03
  6. what's that ? GRA · bilingual_eng_Deuchar/861002eg.cha, line 60 · M 1;03
  7. yes and who [//] what's this M ? GRA · bilingual_eng_Deuchar/861002eg.cha, line 71 · M 1;03
  8. what's this ? GRA · bilingual_eng_Deuchar/861002eg.cha, line 74 · M 1;03
  9. what's this M ? GRA · bilingual_eng_Deuchar/861002eg.cha, line 118 · M 1;03
  10. what's this one ? GRA · bilingual_eng_Deuchar/861002eg.cha, line 208 · M 1;03
  11. what's that ? GRA · bilingual_eng_Deuchar/861002eg.cha, line 210 · M 1;03
  12. what's here ? GRA · bilingual_eng_Deuchar/861002eg.cha, line 223 · M 1;03
  13. what's that ? GRA · bilingual_eng_Deuchar/861002eg.cha, line 262 · M 1;03
  1. GRA*GRA: what's mummy doing ?
    GRAis she doing some recording ?
    GRAshall we look at these pictures ?
  2. GRAis she doing some recording ?
    GRAshall we look at these pictures ?
    GRA*GRA: what's that M ?
    GRAshe's more interested in xxx .
    MOTshe'll get used to it .
  3. GRAdog ?
    GRAwho's that M ?
    MOT*MOT: what's the date today ?
    GRAOctober the second .
    MOTthank you .
  4. MOTthank you .
    GRAis that a dog ?
    GRA*GRA: what's this then again ?
    GRAbuttons # are they ?
    GRAwhat are they ?
  5. CHIyyy .
    GRAoh ooh .
    GRA*GRA: what's that ?
    GRAwhat's that ?
    CHIcar .
  6. GRAoh ooh .
    GRAwhat's that ?
    GRA*GRA: what's that ?
    CHIcar .
    GRAthat's right, that's a car isn't it ?
  7. GRAaah !
    GRAthat's car .
    GRA*GRA: yes and who [//] what's this M ?
    GRAoops !
    GRAwhat's this ?
  8. GRAyes and who [//] what's this M ?
    GRAoops !
    GRA*GRA: what's this ?
    CHIyyy .
    GRAwhat is that ?
  9. GRAthat was daddy, wasn't it ?
    GRAoh look at this now .
    GRA*GRA: what's this M ?
    GRAwho's this ?
    GRAcan you come xxx .
  10. GRAoh .
    GRAoops .
    GRA*GRA: what's this one ?
    GRAxxx is that a doll or a M or xxx ?
    GRAwhat's that ?
  11. GRAwhat's this one ?
    GRAxxx is that a doll or a M or xxx ?
    GRA*GRA: what's that ?
    GRAis that a M ?
    GRAoh no, that is a very very poorly M if you do that .
  12. GRAwhat was it ?
    GRAxxx dirty ?
    GRA*GRA: what's here ?
    CHIuh !
    GRAoh thanks .
  13. GRAthose are some # geese ?
    GRAwhat else have we got ?
    GRA*GRA: what's that ?
    GRAwhat are those ?
    GRAdogs .

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_Deuchar26.48
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_Deuchar/861002eg.chaM 1;3.08491131326.48

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. what's13 · 100.0%