PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

3.76 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (194 utterances, 797 words searched).

  1. voilà . 278765_279397 MOT · french/lyon_nat17b.cha, line 211 · Nathan 1;09
  2. voilà . 888975_891428 MOT · french/lyon_nat17b.cha, line 507 · Nathan 1;09
  3. ben tu les enlèves voilà . MOT · french/lyon_nat17b.cha, line 777 · Nathan 1;09
  1. MOTnon i(l) va ici le cheval ici . 273388_277043
    MOTtourne le . 277043_278765
    MOT*MOT: voilà . 278765_279397
    MOTvas_y .
    MOTfais le glisser un peu . 279397_282322
  2. MOTtiens range le (.) toi même .
    CHIyyy . 874393_888975
    MOT*MOT: voilà . 888975_891428
    CHInon . 891428_893330
    CHIwww [= ! rire] . 893330_911932
  3. CHInon . 1479922_1480807
    MOTsi . 1480807_1481347
    MOT*MOT: ben tu les enlèves voilà .
    MOTtu les enlèves tout seul . 1481347_1484290
    MOT+< et après tu vas m(e) faire enlever l(e) short c'est ça ? 1484290_1506283

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 french3.76
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat17b.chaNathan 1;9.3797333.76

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. voilà3 · 100.0%