PHPCLANCHILDES with regular expressions

4 matches in 2 utterances

3.13 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (312 utterances, 1,277 words searched).

  1. tut@o tut@o ! MOT · french/lyon_nat25a.cha, line 155 · Nathan 2;10
  2. tut@o tut@o ! MOT · french/lyon_nat25a.cha, line 155 · Nathan 2;10
  3. tut@o tut@o . 416413_418933 MOT · french/lyon_nat25a.cha, line 484 · Nathan 2;10
  4. tut@o tut@o . 416413_418933 MOT · french/lyon_nat25a.cha, line 484 · Nathan 2;10
  1. MOTc'est une locomotive ? 143630_145243
    CHInon yyy . 145243_148630
    MOT*MOT: tut@o tut@o !
    MOTc'est une voiture ou une locomotive ? 148630_151068
    MOTun train ? 151068_152212
  2. CHIencore . 407607_409033
    CHIyyy . 409033_416413
    MOT*MOT: tut@o tut@o . 416413_418933
    CHI‹yyy [= ! sirène des pompiers]› . 418933_423313
    MOTwww [= ! sirène des pompiers] . 423313_428787

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. Nathan french3.13
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat25a.chaNathan 2;10.231,277243.13

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. tut4 · 100.0%