PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

1.51 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (403 utterances, 1,328 words searched).

  1. <xxx xxx xxx t(u) es en_train d(e) mettre ça là> [= ! problème son] . 771160_773223 MOT · french/lyon_nat13a.cha, line 545 · Nathan 1;06
  2. et j(e) vais l(e) mettre . 775028_777473 MOT · french/lyon_nat13a.cha, line 550 · Nathan 1;06
  1. CHIwww [= ! petits bruits] .
    CHIwww [= ! petits bruits] . 756877_771160
    MOT*MOT: <xxx xxx xxx t(u) es en_train d(e) mettre ça là> [= ! problème son] . 771160_773223
    MOTtu m(e) le donnes ? 773223_775028
    MOTet j(e) vais l(e) mettre . 775028_777473
  2. MOT<xxx xxx xxx t(u) es en_train d(e) mettre ça là> [= ! problème son] . 771160_773223
    MOTtu m(e) le donnes ? 773223_775028
    MOT*MOT: et j(e) vais l(e) mettre . 775028_777473
    CHIyyy ‹là [?]› . 777473_778485
    MOTmais c'est pas là . 778485_781565

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 french1.51
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat13a.chaNathan 1;6.251,328221.51

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. mettre2 · 100.0%