PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

1.93 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (388 utterances, 1,553 words searched).

  1. il va falloir que maman se réveille . 205110_208537 MOT · french/lyon_nat34b.cha, line 234 · Nathan 2;06
  2. on dirait qu'i(ls) se font des vrais câlins . 401063_402697 MOT · french/lyon_nat34b.cha, line 463 · Nathan 2;06
  3. eh ça se mange pas Nanou ça ! 1502260_1504030 MOT · french/lyon_nat34b.cha, line 1168 · Nathan 2;06
  1. MOTah . 194677_199808
    MOTdeux paires pour Jea . 199808_205110
    MOT*MOT: il va falloir que maman se réveille . 205110_208537
    MOTet toi Nanou ? 208537_210498
    MOTfaut qu(e) tu te réveilles aussi .
  2. CHInon ! 398747_401063
    MOTnon mais regarde c'est dingue hein !
    MOT*MOT: on dirait qu'i(ls) se font des vrais câlins . 401063_402697
    CHIyyy yyy . 402697_405865
    CHIyyy yyy .
  3. FATwww [= ! chante] . 1484483_1490130
    MOTwww [= ! siffle] . 1490130_1502260
    MOT*MOT: eh ça se mange pas Nanou ça ! 1502260_1504030
    MOTeh eh eh !
    FATquoi ? 1504030_1506180

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 french1.93
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat34b.chaNathan 2;6.131,553331.93

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. se3 · 100.0%