PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

1.57 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (265 utterances, 1,272 words searched).

  1. mais il faut bien_que je te nettoie alors je laisse la couverture mais (.) je te nettoie qu… MOT · french/lyon_nat30b.cha, line 729 · Nathan 2;04
  2. okay [/] okay [/] okay (.) mais il faut bien_que je t(e) lave les fesse quand_même . 1156252_1160228 MOT · french/lyon_nat30b.cha, line 765 · Nathan 2;04
  1. french/lyon_nat30b.cha, line 729 · Nathan, 2;4.12
    CHInon . 1098357_1100383
    CHInon 0j(e) veux pas non .
    MOT*MOT: mais il faut bien_que je te nettoie alors je laisse la couverture mais (.) je te nettoie quand_même . 1100383_1108410
    MOTben qu'est-c(e) que je sens là . 1108410_1117200
    MOTet là qu'est-ce que je sens ? 1117200_1119802
  2. french/lyon_nat30b.cha, line 765 · Nathan, 2;4.12
    MOTNanou [//] Nanou [/] Nanou (.) coucou . 1131382_1141800
    CHInon . 1148877_1156252
    MOT*MOT: okay [/] okay [/] okay (.) mais il faut bien_que je t(e) lave les fesse quand_même . 1156252_1160228
    MOThein !
    MOTNat .

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 french1.57
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat30b.chaNathan 2;4.121,272221.57

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. bien_que2 · 100.0%