PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

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

  1. was there three little pigs ? MOT · bilingual_eng_Genesee/oli33b06m.cha, line 65 · Olivier 3;06
  2. there's # three more pieces . MOT · bilingual_eng_Genesee/oli33b06m.cha, line 180 · Olivier 3;06
  3. can you # give me those three other pieces please ? MOT · bilingual_eng_Genesee/oli33b06m.cha, line 188 · Olivier 3;06
  4. give me the other three pieces ? MOT · bilingual_eng_Genesee/oli33b06m.cha, line 193 · Olivier 3;06
  5. what did the three little pigs do to the big bad wolf ? MOT · bilingual_eng_Genesee/oli33b06m.cha, line 441 · Olivier 3;06
  1. bilingual_eng_Genesee/oli33b06m.cha, line 65 · Olivier, 3;06.09
    MOToh my goodness .
    MOTand what happened to the third little pig ?
    MOT*MOT: was there three little pigs ?
    CHIwhat did [/] did happened to the third little pig ?
    MOTI don't know you said there were only two where's the third pig ?
  2. bilingual_eng_Genesee/oli33b06m.cha, line 180 · Olivier, 3;06.09
    MOTyeah .
    MOTthank you .
    MOT*MOT: there's # three more pieces .
    CHIwhat's that ?
    MOTI don't know honey .
  3. bilingual_eng_Genesee/oli33b06m.cha, line 188 · Olivier, 3;06.09
    CHIwhat's that ?
    MOTI don't know honey .
    MOT*MOT: can you # give me those three other pieces please ?
    CHIyy .
    MOTgive me the other three pieces ?
  4. bilingual_eng_Genesee/oli33b06m.cha, line 193 · Olivier, 3;06.09
    MOTcan you # give me those three other pieces please ?
    CHIyy .
    MOT*MOT: give me the other three pieces ?
    CHI0.
    CHItake them .
  5. bilingual_eng_Genesee/oli33b06m.cha, line 441 · Olivier, 3;06.09
    MOTah the big bad wolf .
    MOTwhat happened to the big bad wolf ?
    MOT*MOT: what did the three little pigs do to the big bad wolf ?
    CHI0.
    MOTno what did they do ?

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_Genesee3.26
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_Genesee/oli33b06m.chaOlivier 3;06.091,532553.26

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. three5 · 100.0%