PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

3.91 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (274 utterances, 1,023 words searched).

  1. et si j(e) te dis non Nat ? 39430_47178 MOT · french/lyon_nat01a.cha, line 45 · Nathan 1;00
  2. …it neuf dix onze douze treize quatorze quinze dix sept dix huit vingt et un . 374483_410827 JEA · french/lyon_nat01a.cha, line 256 · Nathan 1;00
  3. <et en_plus i(l) s(e) marre> [= ! rigole] ! 466045_468008 MOT · french/lyon_nat01a.cha, line 309 · Nathan 1;00
  4. +< alors: , <on va emmener> [//] (..) on va emmener l(e) micro (.) et puis on va l(e) mett(r)e su(r) [/] (.) sur le lavabo ! MOT · french/lyon_nat01a.cha, line 915 · Nathan 1;00
  1. french/lyon_nat01a.cha, line 45 · Nathan, 1;0.12
    MOTmhm .
    MOTbing . 35900_39427
    MOT*MOT: et si j(e) te dis non Nat ? 39430_47178
    MOTmais heuh . 47190_50645
    MOTbon allez .
  2. french/lyon_nat01a.cha, line 256 · Nathan, 1;0.12
    JEAxxx un . 369403_372947
    MOTvas_y compte ! 372953_374475
    JEA*JEA: un deux trois quatre cinq six sept huit neuf dix onze douze treize quatorze quinze dix sept dix huit vingt et un . 374483_410827
    MOTwww [= ! imite_bruitage] .
    CHI‹yyy [= ! sourit]› . 410838_413267
  3. french/lyon_nat01a.cha, line 309 · Nathan, 1;0.12
    MOTnon [/] (.) non [/] (.) non [= ! ferme] nanou ! 455637_463968
    MOTnon ! 463972_466043
    MOT*MOT: <et en_plus i(l) s(e) marre> [= ! rigole] ! 466045_468008
    MOTnon [= ! rigole] . 468008_469265
    MOTarrête [/] arrête [/] arrête . 469272_472117
  4. french/lyon_nat01a.cha, line 915 · Nathan, 1;0.12
    JEAau bain ! 1462832_1474643
    CHIwww [= ! pleure] !
    MOT*MOT: +< alors: , <on va emmener> [//] (..) on va emmener l(e) micro (.) et puis on va l(e) mett(r)e su(r) [/] (.) sur le lavabo !
    MOToh xxx [= ! bruitage] attention . 1474643_1479978
    MOThoplà . 1479978_1482690

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 french3.91
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat01a.chaNathan 1;0.121,023443.91

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. et4 · 100.0%