PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

3.38 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (331 utterances, 888 words searched).

  1. merci . 359748_360583 MOT · french/lyon_nat04b.cha, line 282 · Nathan 1;01
  2. merci . 383777_384783 MOT · french/lyon_nat04b.cha, line 318 · Nathan 1;01
  3. merci . 1107622_1128320 MOT · french/lyon_nat04b.cha, line 784 · Nathan 1;01
  1. MOToh aïe aïe . 356068_359023
    CHI‹tiens [?]› ! 359023_359748
    MOT*MOT: merci . 359748_360583
    MOTfais voir ! 360583_363937
    CHI+< yyy .
  2. MOT&akak . 379650_381717
    CHIyyy . 381717_383777
    MOT*MOT: merci . 383777_384783
    MOTbon maint(e)nant qu(e) t(u) as [///] ton www [= ! li] entreprise de destruction est terminée +... 384783_389228
    MOTbon . 389228_391065
  3. JEAwww [= ! pleurniche] . 1101150_1107622
    CHIyyy .
    MOT*MOT: merci . 1107622_1128320
    MOTallez viens Jea [///] Nat ! 1128320_1130747
    MOTviens là p(e)tit bonhomme ! 1130747_1139115

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 french3.38
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat04b.chaNathan 1;1.24888333.38

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. merci3 · 100.0%