PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

1.96 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (274 utterances, 1,023 words searched).

  1. +< on va s(e) déshabiller (.) pour aller au bain , mhm ! MOT · french/lyon_nat01a.cha, line 804 · Nathan 1;00
  2. au bain ! 1462832_1474643 JEA · french/lyon_nat01a.cha, line 912 · Nathan 1;00
  1. french/lyon_nat01a.cha, line 804 · Nathan, 1;0.12
    CHImhm mhm mhm . 1221285_1227763
    CHIwww [= ! pleure] . 1275172_1282507
    MOT*MOT: +< on va s(e) déshabiller (.) pour aller au bain , mhm !
    CHIyyy maman ! 1282507_1285423
    MOTattend on va enlever ça d'abord xxx . 1285438_1290378
  2. french/lyon_nat01a.cha, line 912 · Nathan, 1;0.12
    MOThein ? 1457407_1458940
    MOT<où est-ce qu'on va> [/] (..) où est-ce qu'on va comme ça tout nu ? 1458950_1462820
    JEA*JEA: au bain ! 1462832_1474643
    CHIwww [= ! pleure] !
    MOT+< alors: , <on va emmener> [//] (..) on va emmener l(e) micro (.) et puis on va l(e) mett(r)e su(r) [/] (.) sur le lavabo !

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 french1.96
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat01a.chaNathan 1;0.121,023221.96

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. au2 · 100.0%