PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

1.98 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (374 utterances, 1,514 words searched).

  1. ah bon ? 185876_187633 MOT · french/lyon_mar17b.cha, line 206 · Marie 1;10
  2. www [= ! rit] c'est bon ? 360435_367638 MOT · french/lyon_mar17b.cha, line 385 · Marie 1;10
  3. tu lui donnes , ah bon . 450423_453516 MOT · french/lyon_mar17b.cha, line 460 · Marie 1;10
  1. MOToh elle est tombée . 181150_182235
    MOTtu m'en donnes deux ? 182235_185876
    MOT*MOT: ah bon ? 185876_187633
    MOTtrois ! 187633_188998
    MOTouh , j(e) vais bien manger hein . 188998_192596
  2. CHIun bobo . 357876_359228
    MOTah oui ! 359228_360435
    MOT*MOT: www [= ! rit] c'est bon ? 360435_367638
    MOTwww [= ! rit] pourquoi tu fais la grimace ? 367638_374316
    MOTon ben on va garde le Mar . 374316_381068
  3. MOTil s(e) fasse bobo . 449190_450423
    CHIyyy .
    MOT*MOT: tu lui donnes , ah bon . 450423_453516
    CHIun ‹www [= ! li]› autre . 453516_456673
    CHIcouteau . 456673_458958

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. Marie french1.98
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_mar17b.chaMarie 1;10.231,514331.98

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. bon3 · 100.0%