PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.92 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (245 utterances, 1,532 words searched).

  1. I don't know you said there were only two where's the third pig ? MOT · bilingual_eng_Genesee/oli33b06m.cha, line 70 · Olivier 3;06
  2. where's the third pig ? MOT · bilingual_eng_Genesee/oli33b06m.cha, line 72 · Olivier 3;06
  3. where's that ? MOT · bilingual_eng_Genesee/oli33b06m.cha, line 866 · Olivier 3;06
  4. where's that big white piece, part of the wing ? MOT · bilingual_eng_Genesee/oli33b06m.cha, line 880 · Olivier 3;06
  5. oh that's not the airplane where's the airplane ? MOT · bilingual_eng_Genesee/oli33b06m.cha, line 966 · Olivier 3;06
  6. where's the airplane ? MOT · bilingual_eng_Genesee/oli33b06m.cha, line 970 · Olivier 3;06
  1. MOTwas there three little pigs ?
    CHIwhat did [/] did happened to the third little pig ?
    MOT*MOT: I don't know you said there were only two where's the third pig ?
    MOTwhere's the third pig ?
    CHIwhere is it ?
  2. CHIwhat did [/] did happened to the third little pig ?
    MOTI don't know you said there were only two where's the third pig ?
    MOT*MOT: where's the third pig ?
    CHIwhere is it ?
    MOTwoah boom that was an accident .
  3. MOTwhere are these pieces here ?
    MOTsee that piece there ?
    MOT*MOT: where's that ?
    CHImaybe it's there .
    MOTis it here ?
  4. MOTwe need that piece .
    CHIlittle pieces .
    MOT*MOT: where's that big white piece, part of the wing ?
    CHIit's in there .
    MOTis it there ?
  5. MOToh there it is .
    CHIoh his visor .
    MOT*MOT: oh that's not the airplane where's the airplane ?
    MOTa boat .
    MOTwhere's the airplane ?
  6. MOToh that's not the airplane where's the airplane ?
    MOTa boat .
    MOT*MOT: where's the airplane ?
    CHIxxx .
    MOTxxx this to fly anyway .

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. Olivier bilingual_eng_Genesee3.92
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_Genesee/oli33b06m.chaOlivier 3;06.091,532663.92

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. where's6 · 100.0%