PHPCLANCHILDES with regular expressions

10 matches in 10 utterances

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

  1. mmm ? GRA · bilingual_eng_Deuchar/861023eg.cha, line 110 · M 1;03
  2. <mmm yes the cars are very important xxx red cars> [?] [>] . GRA · bilingual_eng_Deuchar/861023eg.cha, line 209 · M 1;03
  3. ooh # have a look and see what else is in there # mmm ? MOT · bilingual_eng_Deuchar/861023eg.cha, line 320 · M 1;03
  4. mmm ? MOT · bilingual_eng_Deuchar/861023eg.cha, line 351 · M 1;03
  5. go and see what's in that box there # mmm ? MOT · bilingual_eng_Deuchar/861023eg.cha, line 383 · M 1;03
  6. mmm ? MOT · bilingual_eng_Deuchar/861023eg.cha, line 405 · M 1;03
  7. mmm ? GRA · bilingual_eng_Deuchar/861023eg.cha, line 566 · M 1;03
  8. mmm ? GRA · bilingual_eng_Deuchar/861023eg.cha, line 693 · M 1;03
  9. mmm ? MOT · bilingual_eng_Deuchar/861023eg.cha, line 764 · M 1;03
  10. yes mmm . MOT · bilingual_eng_Deuchar/861023eg.cha, line 810 · M 1;03
  1. bilingual_eng_Deuchar/861023eg.cha, line 110 · M, 1;3.29
    CHI0.
    CHIyyy .
    GRA*GRA: mmm ?
    GRAshall we get them out ?
    GRAwhat's in here .
  2. bilingual_eng_Deuchar/861023eg.cha, line 209 · M, 1;3.29
    MOTshe looked at the car .
    MOTdon't you think it's amazing she picks this out of the whole thing .
    GRA*GRA: <mmm yes the cars are very important xxx red cars> [?] [>] .
    CHIyyy [<] .
    MOTpart of her every day .
  3. 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 ?
  4. bilingual_eng_Deuchar/861023eg.cha, line 351 · M, 1;3.29
    GRAyes give that to mummy then .
    MOTwhat is it ?
    MOT*MOT: mmm ?
    CHIyyy .
    MOTwhat is it ?
  5. bilingual_eng_Deuchar/861023eg.cha, line 383 · M, 1;3.29
    CHIyyy .
    MOTtake it to Granny .
    MOT*MOT: go and see what's in that box there # mmm ?
    GRAwhat else is there in here # ooh !
    GRAwhat's this M ?
  6. bilingual_eng_Deuchar/861023eg.cha, line 405 · M, 1;3.29
    MOTis it like mummy's watch that goes here ?
    MOTwhat is it ?
    MOT*MOT: mmm ?
    MOTtake it back to Granny .
    GRAwatch ?
  7. bilingual_eng_Deuchar/861023eg.cha, line 566 · M, 1;3.29
    MOTwho's this ?
    MOTwell or another one # a more recent one .
    GRA*GRA: mmm ?
    MOTwho's this ?
    CHI0.
  8. bilingual_eng_Deuchar/861023eg.cha, line 693 · M, 1;3.29
    GRAno no she's obviously not going to cooperate no .
    CHIyyy .
    GRA*GRA: mmm ?
    CHIyyy .
    GRAand the dog says +...
  9. bilingual_eng_Deuchar/861023eg.cha, line 764 · M, 1;3.29
    CHIyyy .
    MOTyou want to give it to me ?
    MOT*MOT: mmm ?
    CHIyyy .
    MOTput it on my feet .
  10. bilingual_eng_Deuchar/861023eg.cha, line 810 · M, 1;3.29
    GRAwould you like me to go and fetch your shoes from the cobbler ?
    MOToh !
    MOT*MOT: yes mmm .
    GRAwww .
    MOTright .

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_Deuchar6.22
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_Deuchar/861023eg.chaM 1;3.291,60910106.22

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. mmm10 · 100.0%