PHPCLANCHILDES with regular expressions

3 matches in 2 utterances

3.30 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (327 utterances, 909 words searched).

  1. <et si tu vois un> [/] www [= ! li] <alligator très très fort> [/] www [= ! lu] . 109582_115300 MOT · french/lyon_nat06a.cha, line 152 · Nathan 1;02
  2. <et si tu vois un> [/] www [= ! li] <alligator très très fort> [/] www [= ! lu] . 109582_115300 MOT · french/lyon_nat06a.cha, line 152 · Nathan 1;02
  3. bah t(u) as très bien compris c(e) que j'ai dit . MOT · french/lyon_nat06a.cha, line 757 · Nathan 1;02
  1. MOT+< dis [= ! lu] !
    MOThi: . 106845_109582
    MOT*MOT: <et si tu vois un> [/] www [= ! li] <alligator très très fort> [/] www [= ! lu] . 109582_115300
    CHI+< yyy .
    MOTregarde ça ! 115300_117917
  2. CHIwww [= ! pleurniche] . 1147187_1149820
    MOTouais .
    MOT*MOT: bah t(u) as très bien compris c(e) que j'ai dit .
    CHIwww [= ! pleurniche] . 1149820_1153347
    MOTviens !

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 french3.30
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat06a.chaNathan 1;2.26909233.30

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. très3 · 100.0%