PHPCLANCHILDES with regular expressions

3 matches in 2 utterances

2.35 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (262 utterances, 1,278 words searched).

  1. comment est ce que tu laves tes ch'veux ? MOT · french/rondal_35d.cha, line 246 · Rondal_35D 3;07
  2. comment tu n' sais pas comment on roule ? MOT · french/rondal_35d.cha, line 396 · Rondal_35D 3;07
  3. comment tu n' sais pas comment on roule ? MOT · french/rondal_35d.cha, line 396 · Rondal_35D 3;07
  1. french/rondal_35d.cha, line 246 · Rondal_35D, 3;7.22
    CHImwa yaf ye mwa yaf me sevø .
    MOTtu laves tes ch'veux ?
    MOT*MOT: comment est ce que tu laves tes ch'veux ?
    MOTqu' est c'qu' i' faut pour laver ses ch'veux ?
    CHImwa va dã ya dous .
  2. french/rondal_35d.cha, line 396 · Rondal_35D, 3;7.22
    MOTla neige fond .
    CHImwa sɛ pa komã ɔ̃ fe œ̃ un bonom ko komã ɔ̃ youn .
    MOT*MOT: comment tu n' sais pas comment on roule ?
    CHInã: .
    MOTohoh tu n' as jamais fait un bonhomme de neige ?

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. Rondal_35D french2.35
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/rondal_35d.chaRondal_35D 3;7.221,278232.35

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.

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