PHPCLANCHILDES with regular expressions

9 matches in 4 utterances

2.89 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (779 utterances, 3,114 words searched).

  1. k@l . 744420_745530 MOT · french/lyon_nat30a.cha, line 991 · Nathan 2;04
  2. k@l [/] k@l [/] k@l . JEA · french/lyon_nat30a.cha, line 1006 · Nathan 2;04
  3. k@l [/] k@l [/] k@l . JEA · french/lyon_nat30a.cha, line 1006 · Nathan 2;04
  4. k@l [/] k@l [/] k@l . JEA · french/lyon_nat30a.cha, line 1006 · Nathan 2;04
  5. oui mais Ka(tayoune) [//] Ka(tayoune) k@l [/] k@l [/] k@l . JEA · french/lyon_nat30a.cha, line 1019 · Nathan 2;04
  6. oui mais Ka(tayoune) [//] Ka(tayoune) k@l [/] k@l [/] k@l . JEA · french/lyon_nat30a.cha, line 1019 · Nathan 2;04
  7. oui mais Ka(tayoune) [//] Ka(tayoune) k@l [/] k@l [/] k@l . JEA · french/lyon_nat30a.cha, line 1019 · Nathan 2;04
  8. Tatayoune k@l [/] k@l u@l i@l . 794897_797470 JEA · french/lyon_nat30a.cha, line 1060 · Nathan 2;04
  9. Tatayoune k@l [/] k@l u@l i@l . 794897_797470 JEA · french/lyon_nat30a.cha, line 1060 · Nathan 2;04
  1. JEACatayoune . 741295_742438
    MOTalors vas_y parc(e) que c'est long . 742438_744420
    MOT*MOT: k@l . 744420_745530
    KATxxx . 745530_747397
    CHIwww [= ! éternuements] . 747397_750513
  2. MOT+< ça c'est un c@l mon Jea . 750513_754478
    MOToh oh ! 754478_755827
    JEA*JEA: k@l [/] k@l [/] k@l .
    MOToh oh oh ! 755827_758515
    JEAmais c'est un +/.
  3. MOTtu peux continuer comme ça . 758515_761477
    MOTavec un a après . 761477_762905
    JEA*JEA: oui mais Ka(tayoune) [//] Ka(tayoune) k@l [/] k@l [/] k@l .
    MOT+< j'arrive mon Nanou . 762905_765238
    MOTqu'est-c(e) qui t'arrive bonhomme ? 765238_767020
  4. MOTtrès [/] très bien . 794012_794897
    MOTencore une fois de l'autre côté (.) encore .
    JEA*JEA: Tatayoune k@l [/] k@l u@l i@l . 794897_797470
    JEAi@l ? 802870_805377
    MOTy@l . 805377_806332

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 french2.89
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat30a.chaNathan 2;4.123,114492.89

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. k9 · 100.0%