PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

8.13 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (467 utterances, 369 words searched).

  1. +, de grue . 313068_316180 MOT · french/lyon_mas19b.cha, line 302 · Marilyn 1;10
  2. elle est où la grue ? MOT · french/lyon_mas19b.cha, line 572 · Marilyn 1;10
  3. elle est là la grue . MOT · french/lyon_mas19b.cha, line 576 · Marilyn 1;10
  1. french/lyon_mas19b.cha, line 302 · Marilyn, 1;10.17
    MOT0 . 309802_313068
    MOTde +...
    MOT*MOT: +, de grue . 313068_316180
    MOTlà haut .
    CHIlà haut . 316180_317632
  2. french/lyon_mas19b.cha, line 572 · Marilyn, 1;10.17
    MOT0 . 606238_609653
    MOT0 . 609653_612327
    MOT*MOT: elle est où la grue ?
    CHIyyy .
    MOTelle est là la grue .
  3. french/lyon_mas19b.cha, line 576 · Marilyn, 1;10.17
    MOTelle est où la grue ?
    CHIyyy .
    MOT*MOT: elle est là la grue .
    CHIyyy . 612327_616498
    CHIah ah &=rit .

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. Marilyn french8.13
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_mas19b.chaMarilyn 1;10.17369338.13

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. grue3 · 100.0%