PHPCLANCHILDES with regular expressions

3 matches in 2 utterances

2.76 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (256 utterances, 1,085 words searched).

  1. coucou ! 1100602_1102330 MOT · french/lyon_nat07a.cha, line 674 · Nathan 1;03
  2. hein coucou [/] coucou ! 1336415_1340458 MOT · french/lyon_nat07a.cha, line 820 · Nathan 1;03
  3. hein coucou [/] coucou ! 1336415_1340458 MOT · french/lyon_nat07a.cha, line 820 · Nathan 1;03
  1. french/lyon_nat07a.cha, line 674 · Nathan, 1;3.23
    MOT<gentille alouette> [/] <alouette (.) je te plumerai> [/] www [= ! chante] . 1084605_1093060
    CHIyyy . 1093062_1100600
    MOT*MOT: coucou ! 1100602_1102330
    CHIyyy . 1102343_1127667
    MOTviens là Nanou ! 1127675_1129707
  2. french/lyon_nat07a.cha, line 820 · Nathan, 1;3.23
    MOToui: tu vois , c'est pas comme le papier à côté ! 1328237_1332808
    MOTun trou ! 1332808_1336410
    MOT*MOT: hein coucou [/] coucou ! 1336415_1340458
    MOTaïe aïe aïe ! 1340458_1341880
    CHIwww [= ! éternue] . 1341885_1361060

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 french2.76
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat07a.chaNathan 1;3.231,085232.76

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. coucou3 · 100.0%