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. c'est bon ? 141583_144927 MOT · french/lyon_nat17b.cha, line 54 · Nathan 1;09
  2. à bon ! 242767_243513 MOT · french/lyon_nat17b.cha, line 161 · Nathan 1;09
  3. c'est bon la vie . 1417183_1419683 MOT · french/lyon_nat17b.cha, line 738 · Nathan 1;09
  1. MOThein ? 139978_141583
    CHIyyy .
    MOT*MOT: c'est bon ? 141583_144927
    CHInon . 144927_145715
    CHIyyy . 145715_153905
  2. MOTil est où le cochon . 239292_240922
    CHIil est là . 240922_242767
    MOT*MOT: à bon ! 242767_243513
    MOTet il est où le chien ? 243513_247053
    CHIchien là . 247053_251298
  3. MOTça va ? 1408793_1416040
    MOTle pacha . 1416040_1417183
    MOT*MOT: c'est bon la vie . 1417183_1419683
    MOTtiens . 1419683_1424203
    CHIwww [= ! pleurs] . 1424203_1435072

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. bon3 · 100.0%