PHPCLANCHILDES with regular expressions

5 matches in 3 utterances

3.38 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (343 utterances, 1,478 words searched).

  1. ben merci hein [//] ben merci les [//] ben merci les madames hein ! 200322_208… JEA · french/lyon_nat15a.cha, line 268 · Nathan 1;07
  2. ben merci hein [//] ben merci les [//] ben merci les madames hein ! 200322_208547 JEA · french/lyon_nat15a.cha, line 268 · Nathan 1;07
  3. ben merci hein [//] ben merci les [//] ben merci les madames hein ! 200322_208547 JEA · french/lyon_nat15a.cha, line 268 · Nathan 1;07
  4. +< merci les madames ! MOT · french/lyon_nat15a.cha, line 278 · Nathan 1;07
  5. ouais ben merci le: madame ! 208548_258220 JEA · french/lyon_nat15a.cha, line 280 · Nathan 1;07
  1. CHIyyy . 194467_197790
    CHIyyy . 197795_200322
    JEA*JEA: ben merci hein [//] ben merci les [//] ben merci les madames hein ! 200322_208547
    MOT+< ca: [//] (.) ca: quoi !
    CHI+< mhm .
  2. MOT+< ca: [//] (.) ca: quoi !
    CHI+< mhm .
    MOT*MOT: +< merci les madames !
    JEAouais ben merci le: madame ! 208548_258220
    MOTtiens Nat . 258220_280197
  3. CHI+< mhm .
    MOT+< merci les madames !
    JEA*JEA: ouais ben merci le: madame ! 208548_258220
    MOTtiens Nat . 258220_280197
    CHImhm yyy . 280198_285450

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 french3.38
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat15a.chaNathan 1;7.221,478353.38

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. merci5 · 100.0%