PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

3.76 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (194 utterances, 797 words searched).

  1. viens [/] viens me voir . 207145_213420 MOT · french/lyon_nat17b.cha, line 100 · Nathan 1;09
  2. alors pourquoi tu me dis non . 400045_405247 MOT · french/lyon_nat17b.cha, line 318 · Nathan 1;09
  3. qu'est-c(e) qu(e) tu me montres ? 831425_835185 MOT · french/lyon_nat17b.cha, line 463 · Nathan 1;09
  1. CHIwww [= ! pleurs] . 204470_206358
    MOTtu fais avec moi Nanou . 206358_207145
    MOT*MOT: viens [/] viens me voir . 207145_213420
    MOTtu viens . 213420_217432
    MOTding . 217432_218548
  2. MOTça veut dire oui . 397657_399053
    MOTvas_y . 399053_400045
    MOT*MOT: alors pourquoi tu me dis non . 400045_405247
    MOTallez Nanou encore un www [= ! li] autre . 405247_419802
    CHInon . 419802_420775
  3. MOToui (.) quoi ? 827465_830562
    CHImaman . 830562_831425
    MOT*MOT: qu'est-c(e) qu(e) tu me montres ? 831425_835185
    CHI(re)gar(de) .
    MOToui je regar(d)e .

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 french3.76
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat17b.chaNathan 1;9.3797333.76

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. me3 · 100.0%