PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

14.44 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (376 utterances, 277 words searched).

  1. non . 64567_66647 MOT · french/lyon_mas27b.cha, line 46 · Marilyn 2;02
  2. non quoi ? MOT · french/lyon_mas27b.cha, line 107 · Marilyn 2;02
  3. pas encore fini non . 574767_576598 MOT · french/lyon_mas27b.cha, line 555 · Marilyn 2;02
  4. non . MOT · french/lyon_mas27b.cha, line 1206 · Marilyn 2;02
  1. CHIoui vu . 63108_64567
    CHIyyy .
    MOT*MOT: non . 64567_66647
    CHI+< oui . 66647_70108
    CHIlà coupe .
  2. CHI<Marie bonhomme arrive> [?] non . 115657_120507
    CHI+< non maman . 120507_123877
    MOT*MOT: non quoi ?
    CHInon . 123877_125448
    MOTun bonhomme . 125448_127157
  3. CHIpas encore fini tout . 573287_574767
    VALxxx .
    MOT*MOT: pas encore fini non . 574767_576598
    VAL0 . 576598_580568
    MOT0 . 580568_582528
  4. CHI+< voilà maman . 1442107_1445138
    CHIencore boule . 1445138_1446772
    MOT*MOT: non .
    CHI+< encore boule là . 1446772_1452527
    MOTyyy .

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. Marilyn french14.44
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_mas27b.chaMarilyn 2;2.152774414.44

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. non4 · 100.0%