PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

2.56 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (208 utterances, 780 words searched).

  1. bon tu manges ça et j(e) te fais une autre tartine ? 823023_839610 MOT · french/lyon_nat22a.cha, line 614 · Nathan 2;05
  2. non si tu veux du pain j(e) te l(e) donne . MOT · french/lyon_nat22a.cha, line 958 · Nathan 2;05
  1. MOTtu veux pl(us) [//] encore plus de pain ? 820605_822378
    CHImh . 822378_823023
    MOT*MOT: bon tu manges ça et j(e) te fais une autre tartine ? 823023_839610
    CHI‹encore [/]› encore ! 839610_847355
    MOTencore ? 847355_853325
  2. MOTqu'est-ce que tu fais avec ça Nat ?
    JEAwww [= ! crie] ! 1640100_1643285
    MOT*MOT: non si tu veux du pain j(e) te l(e) donne .
    MOTtiens . 1643285_1664633
    CHI‹maman [/]› maman !

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 french2.56
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat22a.chaNathan 2;5.18780222.56

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. te2 · 100.0%