PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

3.01 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (282 utterances, 998 words searched).

  1. +< donne moi . 357235_357847 MOT · french/lyon_nat23b.cha, line 412 · Nathan 2;00
  2. donne le moi . 357847_359102 MOT · french/lyon_nat23b.cha, line 414 · Nathan 2;00
  3. bon donne le moi . 1375867_1379478 MOT · french/lyon_nat23b.cha, line 1009 · Nathan 2;00
  1. MOTqu'est-c(e) que tu fais avec ça ? 353382_357235
    CHIwww [= ! grognements] .
    MOT*MOT: +< donne moi . 357235_357847
    MOTdonne le moi . 357847_359102
    MOTregar(de) . 359092_360125
  2. CHIwww [= ! grognements] .
    MOT+< donne moi . 357235_357847
    MOT*MOT: donne le moi . 357847_359102
    MOTregar(de) . 359092_360125
    MOTregar(de) je [//] je me lave tout seul maintenant . 360125_364110
  3. CHIj'en veux pas . 1371350_1372798
    MOTt(u) en veux pas ? 1372798_1375867
    MOT*MOT: bon donne le moi . 1375867_1379478
    CHIyyy . 1379478_1386202
    MOTtouche pas hein .

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 french3.01
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat23b.chaNathan 2;0.15998333.01

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. donne3 · 100.0%