PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

23.26 per 1,000 words of the child (CHI), in 1 of 1 transcripts (104 utterances, 129 words searched).

  1. alors . 189907_192085 CHI · french/lyon_nat41b.cha, line 290 · Nathan 2;10
  2. +< alors . 220002_227830 CHI · french/lyon_nat41b.cha, line 353 · Nathan 2;10
  3. alors . CHI · french/lyon_nat41b.cha, line 492 · Nathan 2;10
  1. MOTwww [= ! rire] . 183675_187645
    MOTc'est bon ce bonbon hein . 187645_189907
    CHI*CHI: alors . 189907_192085
    CHIil faut +... 192085_195663
    MOTet autour du Pont_Levis qu'est-ce qu'on va mettre ? 195663_199643
  2. MOTtriangle euh je [/] je [//] j(e) (ne) sais pas si j'ai déjà vu un truc triangulaire mais +...
    MOT+, par www [= ! li] exemple on peut faire comme ça .
    CHI*CHI: +< alors . 220002_227830
    MOTqu'est-ce qu(i) [= ! rire] +...
    CHIyyy yyy yyy .
  3. JEA+< yyy . 338548_340027
    MOTvoilà très bien . 340027_341020
    CHI*CHI: alors .
    MOTça va tenir là .
    CHIoui . 341020_343577

Matches by age

One dot per transcript: matches per 1,000 words of the child (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 french23.26
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat41b.chaNathan 2;10.221293323.26

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. alors3 · 100.0%