PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.35 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (312 utterances, 1,277 words searched).

  1. mhm pas tout_d(e)_suite (..) hein . 1232483_1234307 MOT · french/lyon_nat25a.cha, line 1011 · Nathan 2;10
  2. mhm ! 1666932_1675738 FAT · french/lyon_nat25a.cha, line 1333 · Nathan 2;10
  3. mhm ? 1679403_1681088 MOT · french/lyon_nat25a.cha, line 1350 · Nathan 2;10
  1. MOT<pas tout_d(e)_suite mon Nanou> [//] pas tout_de_suite .
    CHI‹yyy [= ! pleure]› !
    MOT*MOT: mhm pas tout_d(e)_suite (..) hein . 1232483_1234307
    CHI<yyy yyy> [= ! pleure] ! 1234307_1238025
    MOTtout_à_l'heure pour aller faire dodo .
  2. CHInon . 1626730_1628590
    MOTxxx . 1628590_1666932
    FAT*FAT: mhm ! 1666932_1675738
    CHI‹papa [/]› papa !
    MOToui c'est papa . 1675738_1676748
  3. MOTc'est papa qui a fait à manger pour tout_l(e)_monde . 1676748_1679403
    CHIregarde .
    MOT*MOT: mhm ? 1679403_1681088
    FATc'est Jea ?
    CHImh . 1681088_1682248

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 french2.35
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat25a.chaNathan 2;10.231,277332.35

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. mhm3 · 100.0%