PHPCLANCHILDES with regular expressions

4 matches in 3 utterances

2.78 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (366 utterances, 1,438 words searched).

  1. tiens . 304705_308868 MOT · french/lyon_nat19a.cha, line 299 · Nathan 1;10
  2. tiens mon Nanou . MOT · french/lyon_nat19a.cha, line 711 · Nathan 1;10
  3. tiens [/] tiens Nat . MOT · french/lyon_nat19a.cha, line 920 · Nathan 1;10
  4. tiens [/] tiens Nat . MOT · french/lyon_nat19a.cha, line 920 · Nathan 1;10
  1. MOTouais mais faut pas toucher . 301507_304705
    MOTnon touche pas ça .
    MOT*MOT: tiens . 304705_308868
    CHI‹www [= ! crie]› veux pas . 308868_314738
    MOTtu la veux pas ?
  2. MOTà toi .
    MOTattends j(e) vais t(e) le chercher .
    MOT*MOT: tiens mon Nanou .
    MOTet toi Nanou ? 847985_851493
    MOTquand est-ce (que) tu m(e) fais un joli bonhomme ?
  3. JEAt(u) as vu ? 1152580_1166898
    CHI‹non [/]› ‹non [/]› non !
    MOT*MOT: tiens [/] tiens Nat .
    MOTmais Nat !
    MOTlaisse le à Nat Jea !

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 french2.78
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat19a.chaNathan 1;10.191,438342.78

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. tiens4 · 100.0%