PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

1.97 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (401 utterances, 1,520 words searched).

  1. tu aimes bien l(e) gâteau ? 384428_387020 MOT · french/lyon_mar16b.cha, line 634 · Marie 1;10
  2. c'est bien . 589211_591548 MOT · french/lyon_mar16b.cha, line 800 · Marie 1;10
  3. bah t(u) as bien fait d(e) prendre un mouchoir hein . MOT · french/lyon_mar16b.cha, line 1388 · Marie 1;10
  1. CHIyyy yyy . 379733_381396
    MOTwww [= ! rit] .
    MOT*MOT: tu aimes bien l(e) gâteau ? 384428_387020
    CHIyyy yyy . 387020_389828
    CHImaman . 398865_400413
  2. CHI‹(.) chocolat› . 584340_587816
    MOTah . 587815_589211
    MOT*MOT: c'est bien . 589211_591548
    MOTdu chocolat . 591548_594613
    CHI+< cacao .
  3. MOTwww [= ! prend sa respiration] .
    MOToh . 1022490_1026155
    MOT*MOT: bah t(u) as bien fait d(e) prendre un mouchoir hein .
    CHI+< ‹oh ,› oh yyy nez .
    CHIyyy nez . 1026155_1027569

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 french1.97
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_mar16b.chaMarie 1;10.111,520331.97

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. bien3 · 100.0%