PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

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

  1. …hat <what a horrid old boot isn't it> [?] # mummy's favourite shoes # were your shoes all right ? GRA · bilingual_eng_Deuchar/861023eg.cha, line 53 · M 1;03
  2. cobbler # were you pleased with the cobbler ? GRA · bilingual_eng_Deuchar/861023eg.cha, line 56 · M 1;03
  3. yes that's right we thought it's a pity to take them too soon but we were a bit frightened actually with the mist and wind xxx . GRA · bilingual_eng_Deuchar/861023eg.cha, line 613 · M 1;03
  4. I tell you what you were xxx like this morning in her high chair if you had a mike around . GRA · bilingual_eng_Deuchar/861023eg.cha, line 821 · M 1;03
  1. bilingual_eng_Deuchar/861023eg.cha, line 53 · M, 1;3.29
    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 ?
  2. bilingual_eng_Deuchar/861023eg.cha, line 56 · M, 1;3.29
    GRAyou don't like that <what a horrid old boot isn't it> [?] # mummy's favourite shoes # were your shoes all right ?
    MOTsorry ?
    GRA*GRA: cobbler # were you pleased with the cobbler ?
    MOTno because I haven't [//] nobody has picked them up yet .
    MOTSergio went but it was closed .
  3. bilingual_eng_Deuchar/861023eg.cha, line 613 · M, 1;3.29
    GRAwe went to the Blue Bell railway on Saturday <xxx so that will be a good trip for her> [>] .
    MOTyes you said that xxx .
    GRA*GRA: yes that's right we thought it's a pity to take them too soon but we were a bit frightened actually with the mist and wind xxx .
    CHIyyy .
    MOThad you been before ?
  4. bilingual_eng_Deuchar/861023eg.cha, line 821 · M, 1;3.29
    MOTwhat about bed ?
    MOTit does not seem to restrict the movement much anyway .
    GRA*GRA: I tell you what you were xxx like this morning in her high chair if you had a mike around .
    MOTmmhmm .
    GRAyou'd have had a lot of um +...

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_Deuchar2.49
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_Deuchar/861023eg.chaM 1;3.291,609442.49

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. were4 · 100.0%