PHPCLANCHILDES with regular expressions

3 matches in 2 utterances

14.85 per 1,000 words of the child (CHI), in 1 of 1 transcripts (153 utterances, 202 words searched).

  1. +< ah mon nez . CHI · french/lyon_nat30a.cha, line 997 · Nathan 2;04
  2. <‹mon nez› y coule> [/] ‹mon nez› y coule . 779620_784568 CHI · french/lyon_nat30a.cha, line 1042 · Nathan 2;04
  3. <‹mon nez› y coule> [/] ‹mon nez› y coule . 779620_784568 CHI · french/lyon_nat30a.cha, line 1042 · Nathan 2;04
  1. french/lyon_nat30a.cha, line 997 · Nathan, 2;4.12
    CHIwww [= ! éternuements] . 747397_750513
    JEAvoilà .
    CHI*CHI: +< ah mon nez .
    MOT+< ça c'est un c@l mon Jea . 750513_754478
    MOToh oh ! 754478_755827
  2. french/lyon_nat30a.cha, line 1042 · Nathan, 2;4.12
    MOTqu'est-c(e) qui faut faire alors ?
    JEA+< &ka . 775423_779620
    CHI*CHI: <‹mon nez› y coule> [/] ‹mon nez› y coule . 779620_784568
    MOTi(l) coule ton nez . 784568_785353
    MOTalors souffle . 785353_787342

Matches by age

One dot per transcript: matches per 1,000 words of the child (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 french14.85
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat30a.chaNathan 2;4.122022314.85

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. mon3 · 100.0%