PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

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

  1. is she doing some recording ? GRA · bilingual_eng_Deuchar/861002eg.cha, line 17 · M 1;03
  2. she's more interested in xxx . GRA · bilingual_eng_Deuchar/861002eg.cha, line 22 · M 1;03
  3. she'll get used to it . MOT · bilingual_eng_Deuchar/861002eg.cha, line 26 · M 1;03
  4. she's gone dead silent . GRA · bilingual_eng_Deuchar/861002eg.cha, line 50 · M 1;03
  5. she's very xxx most interesting xxx . GRA · bilingual_eng_Deuchar/861002eg.cha, line 158 · M 1;03
  6. that's the house where [//] very like your mummy used to live in when she was a little girl . GRA · bilingual_eng_Deuchar/861002eg.cha, line 284 · M 1;03
  1. bilingual_eng_Deuchar/861002eg.cha, line 17 · M, 1;3.08
    GRAwhat's mummy doing ?
    GRA*GRA: is she doing some recording ?
    GRAshall we look at these pictures ?
    GRAwhat's that M ?
  2. bilingual_eng_Deuchar/861002eg.cha, line 22 · M, 1;3.08
    GRAshall we look at these pictures ?
    GRAwhat's that M ?
    GRA*GRA: she's more interested in xxx .
    MOTshe'll get used to it .
    GRAis this a dog ?
  3. bilingual_eng_Deuchar/861002eg.cha, line 26 · M, 1;3.08
    GRAwhat's that M ?
    GRAshe's more interested in xxx .
    MOT*MOT: she'll get used to it .
    GRAis this a dog ?
    GRAwhat ?
  4. bilingual_eng_Deuchar/861002eg.cha, line 50 · M, 1;3.08
    GRAwhat are they ?
    GRAhands .
    GRA*GRA: she's gone dead silent .
    CHIyyy .
    GRAoh ooh .
  5. bilingual_eng_Deuchar/861002eg.cha, line 158 · M, 1;3.08
    GRA<shall we> [?] what shall we find here ?
    GRAcome and show me ?
    GRA*GRA: she's very xxx most interesting xxx .
    GRAcome and show granny .
    CHIyyy .
  6. bilingual_eng_Deuchar/861002eg.cha, line 284 · M, 1;3.08
    GRAah !
    GRAshall I try these again ?
    GRA*GRA: that's the house where [//] very like your mummy used to live in when she was a little girl .
    GRAyes, little bit tired aren't you ?
    GRAwhat is this ?

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_Deuchar12.22
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_Deuchar/861002eg.chaM 1;3.084916612.22

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. she6 · 100.0%