PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

1.70 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (514 utterances, 1,769 words searched).

  1. comment il fait le lion ? MOT · french/lyon_ana16a.cha, line 510 · Anais 1;08
  2. +< comment i(ls) font ? MOT · french/lyon_ana16a.cha, line 981 · Anais 1;08
  3. <là (.) comment y fait c(el)ui-là> [= ! chuchote] ! 1458690_1464843 MOT · french/lyon_ana16a.cha, line 2292 · Anais 1;08
  1. CHI+< mhm ‹là (.)› euh là !
    MOTle lion: !
    MOT*MOT: comment il fait le lion ?
    CHIwww [= ! imite_bruit_lion] .
    MOTgrr [= ! Mot fait le bruit du lion] .
  2. MOTc'est des canetons ça ? 574625_576138
    CHIlà . 576143_577248
    MOT*MOT: +< comment i(ls) font ?
    CHIcoin+coin . 577248_578040
    MOTcoin+coin . 578045_581000
  3. MOTmh mh ! 1454832_1455890
    CHIyyy . 1455892_1458685
    MOT*MOT: <là (.) comment y fait c(el)ui-là> [= ! chuchote] ! 1458690_1464843
    CHI+< yyy .
    MOTattends [/] attends il est cassé c(el)ui-là .

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. Anais french1.70
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_ana16a.chaAnais 1;8.111,769331.70

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.

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