PHPCLANCHILDES with regular expressions

10 matches in 10 utterances

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

  1. who's that M ? GRA · bilingual_eng_Deuchar/861002eg.cha, line 39 · M 1;03
  2. yes and who [//] what's this M ? GRA · bilingual_eng_Deuchar/861002eg.cha, line 71 · M 1;03
  3. who's this ? GRA · bilingual_eng_Deuchar/861002eg.cha, line 91 · M 1;03
  4. who's that ? GRA · bilingual_eng_Deuchar/861002eg.cha, line 101 · M 1;03
  5. who is it ? GRA · bilingual_eng_Deuchar/861002eg.cha, line 104 · M 1;03
  6. who's this ? GRA · bilingual_eng_Deuchar/861002eg.cha, line 119 · M 1;03
  7. who is it ? GRA · bilingual_eng_Deuchar/861002eg.cha, line 127 · M 1;03
  8. who's that ? GRA · bilingual_eng_Deuchar/861002eg.cha, line 149 · M 1;03
  9. who are those ? GRA · bilingual_eng_Deuchar/861002eg.cha, line 151 · M 1;03
  10. who's that M ? GRA · bilingual_eng_Deuchar/861002eg.cha, line 184 · M 1;03
  1. GRAah .
    GRAdog ?
    GRA*GRA: who's that M ?
    MOTwhat's the date today ?
    GRAOctober the second .
  2. GRAaah !
    GRAthat's car .
    GRA*GRA: yes and who [//] what's this M ?
    GRAoops !
    GRAwhat's this ?
  3. CHIyyy .
    GRAbloody fools you are .
    GRA*GRA: who's this ?
    CHIyyy .
    GRAyyy .
  4. GRAyyy .
    GRAoh, look !
    GRA*GRA: who's that ?
    GRAgosh that was taken at Whittington .
    GRAwho is it ?
  5. GRAwho's that ?
    GRAgosh that was taken at Whittington .
    GRA*GRA: who is it ?
    CHIpapa .
    GRAis that pa ?
  6. GRAoh look at this now .
    GRAwhat's this M ?
    GRA*GRA: who's this ?
    GRAcan you come xxx .
    CHIyyy .
  7. GRAcome and tell me .
    GRAlook &ma M .
    GRA*GRA: who is it ?
    GRAdaddy .
    GRAis it daddy ?
  8. GRAcome on then, back to panda .
    GRAweee !
    GRA*GRA: who's that ?
    GRAwho are those ?
    GRAthere we are, come on back again .
  9. GRAweee !
    GRAwho's that ?
    GRA*GRA: who are those ?
    GRAthere we are, come on back again .
    GRAback again .
  10. GRAsave these lovely pictures .
    GRAthere we are .
    GRA*GRA: who's that M ?
    GRAlook, you show me .
    GRAah what are these ?

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_Deuchar20.37
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_Deuchar/861002eg.chaM 1;3.08491101020.37

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. who10 · 100.0%