PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

1.31 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (335 utterances, 1,523 words searched).

  1. qu'est ce [* 0que] tu m(e) vas me dessiner ? 553282_555002 MOT · french/lyon_nat27b.cha, line 431 · Nathan 2;02
  2. mhm mhm mhm [= ! en chantant] après j(e) me perd . 1475798_1482250 MOT · french/lyon_nat27b.cha, line 1409 · Nathan 2;02
  1. MOTtu veux les crayons ? 550577_553282
    CHImh .
    MOT*MOT: qu'est ce [* 0que] tu m(e) vas me dessiner ? 553282_555002
    CHIeuh Cache_Cache Rond . 555002_557458
    MOTCache_Cache et Petit_Rond . 557458_559508
  2. MOTah bah c'est pas possible parc(e) que sur le noir on peut pas mettre de orange .
    MOTpar contre je peux le surligner comme ça . 1447293_1475798
    MOT*MOT: mhm mhm mhm [= ! en chantant] après j(e) me perd . 1475798_1482250
    MOTvoilà ! 1482250_1483423
    MOTc'est ça ? 1483423_1484922

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 french1.31
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat27b.chaNathan 2;2.231,523221.31

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. me2 · 100.0%