PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

3.13 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (312 utterances, 1,277 words searched).

  1. encore ? 172532_173308 MOT · french/lyon_nat25a.cha, line 210 · Nathan 2;10
  2. encore ? 355567_356178 MOT · french/lyon_nat25a.cha, line 424 · Nathan 2;10
  3. encore ? MOT · french/lyon_nat25a.cha, line 529 · Nathan 2;10
  4. encore quoi ? MOT · french/lyon_nat25a.cha, line 535 · Nathan 2;10
  1. MOTvoilà !
    CHIencore . 171023_172532
    MOT*MOT: encore ? 172532_173308
    CHImh . 173308_175912
    MOTce(l)ui là ?
  2. CHI+< tchoutchou .
    CHIencore . 354125_355567
    MOT*MOT: encore ? 355567_356178
    CHImh . 356178_357010
    MOTtchoutchou ah laisse moi passer ! 357010_362957
  3. MOTc'est complètement dingo mon pauvre ami ! 470783_473352
    CHIencore ! 473352_478565
    MOT*MOT: encore ?
    CHImh . 478565_479645
    MOTencore quoi ?
  4. MOTencore ?
    CHImh . 478565_479645
    MOT*MOT: encore quoi ?
    CHIencore . 479645_480988
    MOTregarde mon bonhomme ! 480988_489928

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 french3.13
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat25a.chaNathan 2;10.231,277443.13

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. encore4 · 100.0%