PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

3.56 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (222 utterances, 843 words searched).

  1. faut remettre le bouchon après hein ? 436918_439455 MOT · french/lyon_nat22b.cha, line 355 · Nathan 2;05
  2. j'aimerais bien après que tu le rebouches hein ? 1476597_1485055 MOT · french/lyon_nat22b.cha, line 982 · Nathan 2;05
  3. après e@l . 1647975_1659370 MOT · french/lyon_nat22b.cha, line 1095 · Nathan 2;05
  1. MOTquand tu as fini il faut le reboucher . 433753_436273
    MOTd'accord ? 436273_436918
    MOT*MOT: faut remettre le bouchon après hein ? 436918_439455
    MOTlà . 439455_444167
    MOTtu veux que j(e) fasse cache+cache ? 444167_445365
  2. MOTeh non Nanou !
    MOTtiens Nanou . 1474225_1476597
    MOT*MOT: j'aimerais bien après que tu le rebouches hein ? 1476597_1485055
    CHImh . 1485055_1487377
    MOTqu'est-ce que tu m'as dessiné là ?
  3. CHIwww [= ! chuchote] . 1609540_1647975
    CHI‹ah [= ! se plaint]› !
    MOT*MOT: après e@l . 1647975_1659370
    CHIe@l . 1659370_1661492
    MOTe@l . 1661492_1662772

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 french3.56
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat22b.chaNathan 2;5.18843333.56

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. après3 · 100.0%