PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

5.06 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (164 utterances, 790 words searched).

  1. mais si ! MOT · french/lyon_nat25b.cha, line 91 · Nathan 2;10
  2. si . 146763_147923 FAT · french/lyon_nat25b.cha, line 93 · Nathan 2;10
  3. mais si . MOT · french/lyon_nat25b.cha, line 109 · Nathan 2;10
  4. si i(l) sait dire bonjour ! 937183_938675 MOT · french/lyon_nat25b.cha, line 648 · Nathan 2;10
  1. MOTnon pas sur l(e) pyjama . 140693_146763
    CHIah non veux pas !
    MOT*MOT: mais si !
    FATsi . 146763_147923
    CHIveux pas !
  2. CHIah non veux pas !
    MOTmais si !
    FAT*FAT: si . 146763_147923
    CHIveux pas !
    CHIveux pas ! 147923_149165
  3. MOTNat ! 149165_152913
    CHI<veux pas> [/] veux pas !
    MOT*MOT: mais si .
    CHIveux pas ! 152913_157093
    MOTeh Nanou au moins tu l'as mets sur tes genoux .
  4. JEAi(l) sait pas dire bonjour Nanou ? 931725_937183
    MOT&oïe !
    MOT*MOT: si i(l) sait dire bonjour ! 937183_938675
    MOThein tu sais dire bonjour ! 938675_941070
    CHIwww [= ! rie] !

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 french5.06
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat25b.chaNathan 2;10.23790445.06

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. si4 · 100.0%