PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.18 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (345 utterances, 1,375 words searched).

  1. Nanou tu veux veux le chevalier bleu ou le chevalier vert ? FAT · french/lyon_nat34a.cha, line 356 · Nathan 2;06
  2. bleu . MOT · french/lyon_nat34a.cha, line 360 · Nathan 2;06
  3. bleu . 240902_245853 FAT · french/lyon_nat34a.cha, line 362 · Nathan 2;06
  1. MOTvoilà .
    CHIyyy yyy . 234783_240902
    FAT*FAT: Nanou tu veux veux le chevalier bleu ou le chevalier vert ?
    MOTbleu .
    FATbleu . 240902_245853
  2. CHIyyy yyy . 234783_240902
    FATNanou tu veux veux le chevalier bleu ou le chevalier vert ?
    MOT*MOT: bleu .
    FATbleu . 240902_245853
    CHI‹bleu [/]› ‹bleu [/]› ‹bleu [/]› yyy bleu !
  3. FATNanou tu veux veux le chevalier bleu ou le chevalier vert ?
    MOTbleu .
    FAT*FAT: bleu . 240902_245853
    CHI‹bleu [/]› ‹bleu [/]› ‹bleu [/]› yyy bleu !
    CHIdonne moi ! 245853_247818

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 french2.18
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat34a.chaNathan 2;6.131,375332.18

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. bleu3 · 100.0%