PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

7.28 per 1,000 words of the child (CHI), in 1 of 1 transcripts (281 utterances, 412 words searched).

  1. si Mar nez coule . 817510_821398 CHI · french/lyon_mar21a.cha, line 1087 · Marie 2;00
  2. bébé a mouché le nez . 851103_853345 CHI · french/lyon_mar21a.cha, line 1140 · Marie 2;00
  3. <yyy crotte de nez> [<] . CHI · french/lyon_mar21a.cha, line 1188 · Marie 2;00
  1. CHInon . 816140_816758
    CHIwww [= ! renifle] . 816755_817510
    CHI*CHI: si Mar nez coule . 817510_821398
    CHIyyy bébé . 821395_824063
    CHIyyy ‹Mar [>]› . 824063_827386
  2. CHImoucher bébé . 847070_849503
    MOTqui va moucher bébé ? 849500_851103
    CHI*CHI: bébé a mouché le nez . 851103_853345
    MOToui mais qui le fait ? 853345_854665
    CHImouche . 854665_856951
  3. CHIbébé est mouché . 877870_880315
    MOT<ah c'est pour moi> [>] . 882545_884466
    CHI*CHI: <yyy crotte de nez> [<] .
    MOTah y a des crottes de nez . 884465_886070
    CHIwww [= ! renifle] .

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. Marie french7.28
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_mar21a.chaMarie 2;0.28412337.28

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%