PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

11.81 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (151 utterances, 508 words searched).

  1. Santa_Claus going to bring you another Bobo ? MOT · eng_USA_Brown/sarah004.cha, line 309 · Sarah 2;03
  2. Santa_Claus will put some clothes on her . MOT · eng_USA_Brown/sarah004.cha, line 417 · Sarah 2;03
  3. you know Santa_Claus . MOT · eng_USA_Brown/sarah004.cha, line 427 · Sarah 2;03
  4. yeah # Santa_Claus's in that book . MOT · eng_USA_Brown/sarah004.cha, line 432 · Sarah 2;03
  5. yeah # I think Santa_Claus is going to borrow this . MOT · eng_USA_Brown/sarah004.cha, line 482 · Sarah 2;03
  6. you gotta tell Santa_Claus to bring the baby some clothes # huh . MOT · eng_USA_Brown/sarah004.cha, line 612 · Sarah 2;03
  1. eng_USA_Brown/sarah004.cha, line 309 · Sarah, 2;3.22
    MOTwhat ?
    CHImy Bobo .
    MOT*MOT: Santa_Claus going to bring you another Bobo ?
    CHI0 .
    MOThmm ?
  2. eng_USA_Brown/sarah004.cha, line 417 · Sarah, 2;3.22
    MOTxxx Santa Claus'll put some clothes on her .
    CHIhuh ?
    MOT*MOT: Santa_Claus will put some clothes on her .
    CHIhuh ?
    MOThuh ?
  3. eng_USA_Brown/sarah004.cha, line 427 · Sarah, 2;3.22
    MOThuh ?
    CHIhuh ?
    MOT*MOT: you know Santa_Claus .
    CHIxxx .
    MOTyeah # Santa_Claus's in that book .
  4. eng_USA_Brown/sarah004.cha, line 432 · Sarah, 2;3.22
    MOTyou know Santa_Claus .
    CHIxxx .
    MOT*MOT: yeah # Santa_Claus's in that book .
    MOTwhat (di)d cha do with the other baby ?
    CHIhere .
  5. eng_USA_Brown/sarah004.cha, line 482 · Sarah, 2;3.22
    CHIxxx .
    CHIhair .
    MOT*MOT: yeah # I think Santa_Claus is going to borrow this .
    CHIxxx huh .
    MOTok ?
  6. eng_USA_Brown/sarah004.cha, line 612 · Sarah, 2;3.22
    MOTwant me to wrap the baby up in the blanket ?
    CHIxxx .
    MOT*MOT: you gotta tell Santa_Claus to bring the baby some clothes # huh .
    MOTpoor baby hasn't got any clothes .
    MOThuh ?

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. Sarah eng_USA_Brown11.81
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah004.chaSarah 2;3.225086611.81

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. santa_claus6 · 100.0%