PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.06 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (509 utterances, 1,456 words searched).

  1. <un petit bonhomme au bout du chemin> [= ! chante] . MOT · french/lyon_nat26a.cha, line 1181 · Nathan 2;02
  2. vas_y bonhomme [?] ! 922777_924380 MOT · french/lyon_nat26a.cha, line 1192 · Nathan 2;02
  3. attention p(e)tit bonhomme . MOT · french/lyon_nat26a.cha, line 1749 · Nathan 2;02
  1. MOTwww [= ! chante] . 903743_915372
    JEAwww [= ! chante] .
    MOT*MOT: <un petit bonhomme au bout du chemin> [= ! chante] .
    CHI‹chemin [= ! chante]› .
    MOTwww [= ! chante] . 915372_922777
  2. JEAwww [= ! chante] .
    CHIwww [= ! gémit] .
    MOT*MOT: vas_y bonhomme [?] ! 922777_924380
    MOTvas_y mon Nanou !
    CHIwww [= ! gémit] .
  3. CHIyyy . 1361198_1363767
    CHI‹mh [?]› . 1363767_1367822
    MOT*MOT: attention p(e)tit bonhomme .
    MOTregarde c(e) que tu fais avec tes genoux .
    MOThein . 1367822_1369220

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 french2.06
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat26a.chaNathan 2;2.101,456332.06

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. bonhomme3 · 100.0%