PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

6.21 per 1,000 words of the child (CHI), in 1 of 1 transcripts (365 utterances, 483 words searched).

  1. nez . 271883_273113 CHI · french/lyon_mas27a.cha, line 296 · Marilyn 2;02
  2. nez rouge . 274433_276415 CHI · french/lyon_mas27a.cha, line 301 · Marilyn 2;02
  3. nez . 424253_425717 CHI · french/lyon_mas27a.cha, line 463 · Marilyn 2;02
  1. french/lyon_mas27a.cha, line 296 · Marilyn, 2;2.15
    MOTblanche .
    MOTet le nez ? 270493_271883
    CHI*CHI: nez . 271883_273113
    MOTrouge . 273113_274433
    CHInez rouge . 274433_276415
  2. french/lyon_mas27a.cha, line 301 · Marilyn, 2;2.15
    CHInez . 271883_273113
    MOTrouge . 273113_274433
    CHI*CHI: nez rouge . 274433_276415
    MOTd'accord .
    MOTet les chaussures elles sont ? 276415_278937
  3. french/lyon_mas27a.cha, line 463 · Marilyn, 2;2.15
    CHIlà . 422893_424253
    MOTcomme le nez oui .
    CHI*CHI: nez . 424253_425717
    MOTet le chapeau .
    CHI+< là chapeau .

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. Marilyn french6.21
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_mas27a.chaMarilyn 2;2.15483336.21

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. nez3 · 100.0%