PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.43 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (363 utterances, 1,237 words searched).

  1. et ça c'est son biberon . 1239083_1246627 MOT · french/lyon_nat12a.cha, line 1001 · Nathan 1;06
  2. biberon ! MOT · french/lyon_nat12a.cha, line 1004 · Nathan 1;06
  3. tu veux encore de l'eau (..) dans ton biberon ? 1466438_1474625 MOT · french/lyon_nat12a.cha, line 1188 · Nathan 1;06
  1. CHI+< yyy .
    MOTqui a mis <son bavoir> [//] son bavoir .
    MOT*MOT: et ça c'est son biberon . 1239083_1246627
    MOTbiberon !
    MOTtu le sais !
  2. MOTqui a mis <son bavoir> [//] son bavoir .
    MOTet ça c'est son biberon . 1239083_1246627
    MOT*MOT: biberon !
    MOTtu le sais !
    MOTtu m(e) l'as déjà dit . 1246628_1254877
  3. MOTqu'est-ce qu'i(l) y a ? 1462275_1463432
    CHIyyy yyy . 1463435_1466427
    MOT*MOT: tu veux encore de l'eau (..) dans ton biberon ? 1466438_1474625
    CHI‹mh [?]› . 1474632_1476627
    MOTtiens donne ! 1476628_1478588

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 french2.43
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat12a.chaNathan 1;6.51,237332.43

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. biberon3 · 100.0%