PHPCLANCHILDES with regular expressions

9 matches in 8 utterances

11.45 per 1,000 words of the child (CHI), in 1 of 1 transcripts (247 utterances, 786 words searched).

  1. a queen . CHI · eng_USA_Brown/sarah132.cha, line 73 · Sarah 4;11
  2. a queen # not a king . CHI · eng_USA_Brown/sarah132.cha, line 79 · Sarah 4;11
  3. queen # queen [/] # not king . CHI · eng_USA_Brown/sarah132.cha, line 86 · Sarah 4;11
  4. queen # queen [/] # not king . CHI · eng_USA_Brown/sarah132.cha, line 86 · Sarah 4;11
  5. a queen . CHI · eng_USA_Brown/sarah132.cha, line 156 · Sarah 4;11
  6. it's xxx be a queen . CHI · eng_USA_Brown/sarah132.cha, line 158 · Sarah 4;11
  7. now make the queen's hat . CHI · eng_USA_Brown/sarah132.cha, line 230 · Sarah 4;11
  8. a queen hat . CHI · eng_USA_Brown/sarah132.cha, line 277 · Sarah 4;11
  9. um # queen's husband ? CHI · eng_USA_Brown/sarah132.cha, line 538 · Sarah 4;11
  1. CHIoh # I know what to make .
    MELwhat ?
    CHI*CHI: a queen .
    MELqueen ?
    MELoh # ok .
  2. MELqueen ?
    MELoh # ok .
    CHI*CHI: a queen # not a king .
    MELqueen .
    MELqueen ?
  3. MELqueen .
    MELqueen ?
    CHI*CHI: queen # queen [/] # not king .
    MELoh .
    CHII'm goin(g) make a little one so don't mind .
  4. CHIsee ?
    MOTwhat's that ?
    CHI*CHI: a queen .
    CHIit's xxx be a queen .
    MOToh # a queen ?
  5. MOTwhat's that ?
    CHIa queen .
    CHI*CHI: it's xxx be a queen .
    MOToh # a queen ?
    CHIyeah .
  6. MELwhat name is it ?
    CHII don't know .
    CHI*CHI: now make the queen's hat .
    CHIoh # I wish I had gold [= gold crayon] .
    CHIhey # I can use black .
  7. CHIall I need is a hat .
    MOTwhat do you mean # all you need is a hat ?
    CHI*CHI: a queen hat .
    MOTthere .
    MOThow's that for a queen hat ?
  8. FATwhat is her husband called ?
    FATwho's the queen's husband ?
    CHI*CHI: um # queen's husband ?
    CHIa king .
    FATa king # yeah .

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. Sarah eng_USA_Brown11.45
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah132.chaSarah 4;11.197868911.45

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. queen9 · 100.0%