PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

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

  1. what's that M ? GRA · bilingual_eng_Deuchar/861002eg.cha, line 20 · M 1;03
  2. who's that M ? GRA · bilingual_eng_Deuchar/861002eg.cha, line 39 · M 1;03
  3. yes and who [//] what's this M ? GRA · bilingual_eng_Deuchar/861002eg.cha, line 71 · M 1;03
  4. what's this M ? GRA · bilingual_eng_Deuchar/861002eg.cha, line 118 · M 1;03
  5. look &ma M . GRA · bilingual_eng_Deuchar/861002eg.cha, line 126 · M 1;03
  6. who's that M ? GRA · bilingual_eng_Deuchar/861002eg.cha, line 184 · M 1;03
  7. xxx is that a doll or a M or xxx ? GRA · bilingual_eng_Deuchar/861002eg.cha, line 209 · M 1;03
  8. is that a M ? GRA · bilingual_eng_Deuchar/861002eg.cha, line 211 · M 1;03
  9. oh no, that is a very very poorly M if you do that . GRA · bilingual_eng_Deuchar/861002eg.cha, line 212 · M 1;03
  1. 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 .
  2. GRAah .
    GRAdog ?
    GRA*GRA: who's that M ?
    MOTwhat's the date today ?
    GRAOctober the second .
  3. GRAaah !
    GRAthat's car .
    GRA*GRA: yes and who [//] what's this M ?
    GRAoops !
    GRAwhat's this ?
  4. GRAthat was daddy, wasn't it ?
    GRAoh look at this now .
    GRA*GRA: what's this M ?
    GRAwho's this ?
    GRAcan you come xxx .
  5. GRAit's a lovely picture of Sergio .
    GRAcome and tell me .
    GRA*GRA: look &ma M .
    GRAwho is it ?
    GRAdaddy .
  6. GRAsave these lovely pictures .
    GRAthere we are .
    GRA*GRA: who's that M ?
    GRAlook, you show me .
    GRAah what are these ?
  7. GRAoops .
    GRAwhat's this one ?
    GRA*GRA: xxx is that a doll or a M or xxx ?
    GRAwhat's that ?
    GRAis that a M ?
  8. GRAxxx is that a doll or a M or xxx ?
    GRAwhat's that ?
    GRA*GRA: is that a M ?
    GRAoh no, that is a very very poorly M if you do that .
    GRAshall we look at these ?
  9. GRAwhat's that ?
    GRAis that a M ?
    GRA*GRA: oh no, that is a very very poorly M if you do that .
    GRAshall we look at these ?
    GRAoh .

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_Deuchar18.33
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_Deuchar/861002eg.chaM 1;3.084919918.33

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. m9 · 100.0%