PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.98 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (292 utterances, 1,008 words searched).

  1. tu vas aller toucher les poissons là-haut ? MOT · french/lyon_nat09a.cha, line 867 · Nathan 1;04
  2. toucher les poissons tout là-bas ? 1323885_1331322 MOT · french/lyon_nat09a.cha, line 870 · Nathan 1;04
  3. quat(re) poissons d'un coup ! 1331322_1339470 MOT · french/lyon_nat09a.cha, line 881 · Nathan 1;04
  1. MOTkʀi:k@o hop ! 1315342_1318068
    MOTt(u) es pas nerveux toi hein . 1318068_1323885
    MOT*MOT: tu vas aller toucher les poissons là-haut ?
    MOTtoucher les poissons tout là-bas ? 1323885_1331322
    MOTlà-bas !
  2. MOTt(u) es pas nerveux toi hein . 1318068_1323885
    MOTtu vas aller toucher les poissons là-haut ?
    MOT*MOT: toucher les poissons tout là-bas ? 1323885_1331322
    MOTlà-bas !
    MOTraté .
  3. MOTtout là-bas ?
    MOToui !
    MOT*MOT: quat(re) poissons d'un coup ! 1331322_1339470
    CHIyyy . 1339470_1341540
    CHIyyy . 1341540_1345047

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 french2.98
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat09a.chaNathan 1;4.231,008332.98

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. poissons3 · 100.0%