PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

5.10 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (126 utterances, 392 words searched).

  1. non [/] non si tu les manges j(e) [/] [///] j(e) t(e) laisse pas jouer avec . 91788… MOT · french/lyon_nat14a.cha, line 301 · Nathan 1;07
  2. on va le faire ensemble si tu veux . 1392570_1397337 MOT · french/lyon_nat14a.cha, line 390 · Nathan 1;07
  1. french/lyon_nat14a.cha, line 301 · Nathan, 1;7.8
    CHIyyy . 886487_896333
    MOTnon [/] non [/] non [/] non Nanou . 896333_917885
    MOT*MOT: non [/] non si tu les manges j(e) [/] [///] j(e) t(e) laisse pas jouer avec . 917885_921702
    MOTregarde on va faire (.) un paon . 921702_925947
    MOTwww [= ! chante] . 925947_945458
  2. french/lyon_nat14a.cha, line 390 · Nathan, 1;7.8
    CHIyyy . 1386217_1391640
    MOTviens on l'emporte là-bas . 1391640_1392570
    MOT*MOT: on va le faire ensemble si tu veux . 1392570_1397337
    CHIyyy . 1397337_1398472
    MOTtu veux ? 1398472_1398837

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 french5.10
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat14a.chaNathan 1;7.8392225.10

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. si2 · 100.0%