PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

2.61 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (244 utterances, 766 words searched).

  1. qu'est-ce (que) tu vas m(e) faire encore là ? 170780_185930 MOT · french/lyon_nat01b.cha, line 187 · Nathan 1;00
  2. comment on va faire ? 1244508_1249118 MOT · french/lyon_nat01b.cha, line 827 · Nathan 1;00
  1. MOTça va pépère ?
    MOT<hoplà xxx> [= ! chuchote] . 159443_170768
    MOT*MOT: qu'est-ce (que) tu vas m(e) faire encore là ? 170780_185930
    JEA<ça y est> [/] (.) ça y est ! 185940_192283
    MOTça y est .
  2. CHIwww [= ! pleure] . 1238565_1244508
    MOT+< attends faut qu(e) j(e) te mette ça dans les www [= ! li] yeux alors ça va pas être marrant .
    MOT*MOT: comment on va faire ? 1244508_1249118
    MOTcomme ça j(e) pense . 1249123_1283570
    MOT+< www [= ! pleure] !

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 french2.61
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat01b.chaNathan 1;0.12766222.61

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. faire2 · 100.0%