PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

2.10 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (425 utterances, 1,908 words searched).

  1. de l'eau ? MOT · french/lyon_nat27a.cha, line 454 · Nathan 2;02
  2. non pas de l'eau . MOT · french/lyon_nat27a.cha, line 460 · Nathan 2;02
  3. il est tombé dans l'eau ? MOT · french/lyon_nat27a.cha, line 2081 · Nathan 2;02
  4. c'est de l'eau ? MOT · french/lyon_nat27a.cha, line 2088 · Nathan 2;02
  1. MOTdu chocolat ?
    CHImh . 265407_267118
    MOT*MOT: de l'eau ?
    CHInon . 267118_269130
    MOTnon pas de l'eau .
  2. MOTde l'eau ?
    CHInon . 267118_269130
    MOT*MOT: non pas de l'eau .
    MOTdu +... 269130_272967
    CHI+, chocolat !
  3. MOTqu'est-c(e) qu'i(l) lui arrive à Winnie ? 1435930_1486777
    CHIyyy . 1486777_1489112
    MOT*MOT: il est tombé dans l'eau ?
    CHIhein ? 1489112_1491445
    MOTc'est de l'eau ?
  4. MOTil est tombé dans l'eau ?
    CHIhein ? 1489112_1491445
    MOT*MOT: c'est de l'eau ?
    CHImh . 1491445_1493847
    MOTplouf !

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 french2.10
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat27a.chaNathan 2;2.231,908442.10

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. l'eau4 · 100.0%