PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

5.13 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (208 utterances, 780 words searched).

  1. de l'eau ? 22580_27325 MOT · french/lyon_nat22a.cha, line 46 · Nathan 2;05
  2. de l'eau ? 201527_203365 MOT · french/lyon_nat22a.cha, line 129 · Nathan 2;05
  3. de l'eau ? MOT · french/lyon_nat22a.cha, line 135 · Nathan 2;05
  4. encore de l'eau ? MOT · french/lyon_nat22a.cha, line 137 · Nathan 2;05
  1. MOTqu'est-ce (que) tu veux pour goûter ? 18418_21105
    CHIyyy . 21105_22580
    MOT*MOT: de l'eau ? 22580_27325
    MOTà la fraise ?
    CHIwww [= ! chante] . 27325_46383
  2. MOTtu veux un yaourt ?
    CHInon yyy . 198557_201527
    MOT*MOT: de l'eau ? 201527_203365
    CHIyyy . 203365_205222
    MOTde l'eau ?
  3. MOTde l'eau ? 201527_203365
    CHIyyy . 203365_205222
    MOT*MOT: de l'eau ?
    MOTencore de l'eau ?
    CHInon . 205222_206382
  4. CHIyyy . 203365_205222
    MOTde l'eau ?
    MOT*MOT: encore de l'eau ?
    CHInon . 205222_206382
    MOTnon . 206382_208405

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 french5.13
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat22a.chaNathan 2;5.18780445.13

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. l'eau4 · 100.0%