PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

3.93 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (218 utterances, 764 words searched).

  1. et oh . 851837_858393 MOT · french/lyon_nat14b.cha, line 385 · Nathan 1;07
  2. oh . 902000_905255 MOT · french/lyon_nat14b.cha, line 421 · Nathan 1;07
  3. <oh la tête> [= ! rire] ! 1230283_1232248 FAT · french/lyon_nat14b.cha, line 609 · Nathan 1;07
  1. MOTet Nat viens par là . 834092_849672
    MOTNanou . 849672_851837
    MOT*MOT: et oh . 851837_858393
    MOTNanou . 858393_862900
    MOTtu viens . 862900_866067
  2. MOTattends viens là .
    MOTlà . 899833_902000
    MOT*MOT: oh . 902000_905255
    CHI‹yyy (.)› m(a)man . 905255_914548
    MOTon va faire de la gym(nastique) +... 914548_915805
  3. FATtu veux te moucher ? 1226658_1228845
    FATallez . 1228845_1230283
    FAT*FAT: <oh la tête> [= ! rire] ! 1230283_1232248
    FATqu'est-c(e) qu(e) c'est qu(e) ça ? 1232248_1234252
    CHIyyy . 1234252_1237498

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 french3.93
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat14b.chaNathan 1;7.8764333.93

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. oh3 · 100.0%