PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

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

  1. ooh # have a look and see what else is in there # mmm ? MOT · bilingual_eng_Deuchar/861023eg.cha, line 320 · M 1;03
  2. where else is a car ? GRA · bilingual_eng_Deuchar/861023eg.cha, line 328 · M 1;03
  3. what else is there in here # ooh ! GRA · bilingual_eng_Deuchar/861023eg.cha, line 384 · M 1;03
  4. <and now what else> [<] we've got here ? MOT · bilingual_eng_Deuchar/861023eg.cha, line 486 · M 1;03
  5. now are you going to show Granny anything else xxx ? MOT · bilingual_eng_Deuchar/861023eg.cha, line 644 · M 1;03
  1. bilingual_eng_Deuchar/861023eg.cha, line 320 · M, 1;3.29
    CHIzzz .
    GRAwhat is it ?
    MOT*MOT: ooh # have a look and see what else is in there # mmm ?
    CHIyyy .
    MOTwhat's that ?
  2. bilingual_eng_Deuchar/861023eg.cha, line 328 · M, 1;3.29
    MOTa car .
    MOTis it ?
    GRA*GRA: where else is a car ?
    GRA<yes I think those> [//] these are a little bit xxx # oh look !
    CHIno .
  3. bilingual_eng_Deuchar/861023eg.cha, line 384 · M, 1;3.29
    MOTtake it to Granny .
    MOTgo and see what's in that box there # mmm ?
    GRA*GRA: what else is there in here # ooh !
    GRAwhat's this M ?
    CHIyyy .
  4. bilingual_eng_Deuchar/861023eg.cha, line 486 · M, 1;3.29
    GRAclock ?
    CHIyyy [>] .
    MOT*MOT: <and now what else> [<] we've got here ?
    CHIyyy .
    MOTwhat's this ?
  5. bilingual_eng_Deuchar/861023eg.cha, line 644 · M, 1;3.29
    MOTyes # oops xxx .
    MOTok .
    MOT*MOT: now are you going to show Granny anything else xxx ?
    GRAyes # <let's have a look to see> [//] we haven't had a proper look at this book and I like this book very much .
    GRAcould you come and show me M ?

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_Deuchar3.11
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_Deuchar/861023eg.chaM 1;3.291,609553.11

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. else5 · 100.0%