PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.19 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (315 utterances, 1,368 words searched).

  1. tu sais qu(e) tu vas à la mer Nat ? 227572_230042 GDM · french/lyon_nat32b.cha, line 278 · Nathan 2;05
  2. on va aller à la mer mon Coti . 231037_233473 MOT · french/lyon_nat32b.cha, line 285 · Nathan 2;05
  3. et (il) y a des bateaux sur la mer . 234965_236870 GDM · french/lyon_nat32b.cha, line 294 · Nathan 2;05
  1. CHI+, yyy . 214507_215997
    GDMun crocodile ! 215997_227572
    GDM*GDM: tu sais qu(e) tu vas à la mer Nat ? 227572_230042
    CHImh . 230042_231037
    MOTon va aller à la mer mon Coti . 231037_233473
  2. GDMtu sais qu(e) tu vas à la mer Nat ? 227572_230042
    CHImh . 230042_231037
    MOT*MOT: on va aller à la mer mon Coti . 231037_233473
    GDMoui .
    CHIyyy bateau . 233473_234965
  3. GDMoui .
    CHIyyy bateau . 233473_234965
    GDM*GDM: et (il) y a des bateaux sur la mer . 234965_236870
    GDMhein ? 236870_239290
    CHImh . 239290_240317

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 french2.19
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat32b.chaNathan 2;5.71,368332.19

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. mer3 · 100.0%