PHPCLANCHILDES with regular expressions

4 matches in 3 utterances

2.51 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (379 utterances, 1,592 words searched).

  1. ‹pleure [?]› peur peur yyy . MOT · french/lyon_tim19a.cha, line 1348 · Tim 1;09
  2. ‹pleure [?]› peur peur yyy . MOT · french/lyon_tim19a.cha, line 1348 · Tim 1;09
  3. t'en as peur ? 1165425_1167225 MOT · french/lyon_tim19a.cha, line 1359 · Tim 1;09
  4. pourquoi t'en as peur ? 1200918_1203677 MOT · french/lyon_tim19a.cha, line 1393 · Tim 1;09
  1. MOTil est noir et blanc . 1154402_1158375
    MOTet là +...
    MOT*MOT: ‹pleure [?]› peur peur yyy .
    MOT<il pleure> [<] tu crois ? 1158375_1163930
    CHIpeur . 1163930_1165425
  2. MOT<il pleure> [<] tu crois ? 1158375_1163930
    CHIpeur . 1163930_1165425
    MOT*MOT: t'en as peur ? 1165425_1167225
    CHIpeur .
    MOTattend on va aller nous cherch(er) un mouchoir . 1167225_1171343
  3. MOTah bon ?
    CHIyyy peur .
    MOT*MOT: pourquoi t'en as peur ? 1200918_1203677
    MOTil est tout mignon regarde .
    MOTi(l) doit être tout doux .

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. Tim french2.51
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_tim19a.chaTim 1;9.121,592342.51

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. peur4 · 100.0%