PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

3.36 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (416 utterances, 1,487 words searched).

  1. <hey # hey # hey # hey> [/] # hey # you don't write on the table . MOT · eng_USA_Brown/sarah007.cha, line 110 · Sarah 2;04
  2. write on the book . MOT · eng_USA_Brown/sarah007.cha, line 127 · Sarah 2;04
  3. write your name . MOT · eng_USA_Brown/sarah007.cha, line 144 · Sarah 2;04
  4. you write on the book . MOT · eng_USA_Brown/sarah007.cha, line 201 · Sarah 2;04
  5. you going to write +"/. MOT · eng_USA_Brown/sarah007.cha, line 287 · Sarah 2;04
  1. CHIxxx .
    MOTleave it there .
    MOT*MOT: <hey # hey # hey # hey> [/] # hey # you don't write on the table .
    CHIxxx .
    CHIyyy +/.
  2. CHIxxx .
    MOTyou know better .
    MOT*MOT: write on the book .
    MOTon the book .
    MOTdo you want the Bobo or not ?
  3. MOTBobo's all fixed .
    CHIyyy .
    MOT*MOT: write your name .
    MOTs@l a@l r@l a@l .
    CHIxxx .
  4. CHItail dere .
    MOToh # I told you not on the table .
    MOT*MOT: you write on the book .
    CHIright [?] dere .
    MOTthat's the witch .
  5. CHIboy nie+nie # right dere .
    CHII write wi(tch) .
    MOT*MOT: you going to write +"/.
    MOT+" witch ?
    CHII write dere .

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_Brown3.36
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah007.chaSarah 2;4.101,487553.36

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. write5 · 100.0%