PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

4.50 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (272 utterances, 1,110 words searched).

  1. hmm . MEL · eng_USA_Brown/sarah111.cha, line 62 · Sarah 4;05
  2. hmm ? MOT · eng_USA_Brown/sarah111.cha, line 711 · Sarah 4;05
  3. hmm ? MOT · eng_USA_Brown/sarah111.cha, line 733 · Sarah 4;05
  4. hmm ? MOT · eng_USA_Brown/sarah111.cha, line 1281 · Sarah 4;05
  5. hmm ? MEL · eng_USA_Brown/sarah111.cha, line 1369 · Sarah 4;05
  1. CHInow in dere +...
    CHIan(d) take de bow an(d) grab it +...
    MEL*MEL: hmm .
    CHIcome a wise guy !
    MELbows are hard .
  2. MOToh .
    CHIdid it melt ?
    MOT*MOT: hmm ?
    CHIdid it melt ?
    MOTwill it melt ?
  3. CHIwhat does a@l mean .
    CHIMommy # there's a@l in there .
    MOT*MOT: hmm ?
    CHIxxx a@l in there .
    MOTthere's an a@l in there ?
  4. CHIMommy # what's the matter with this crayon ?
    CHIit writes # xxx green .
    MOT*MOT: hmm ?
    CHIit writes on green .
    CHIthese are different crayons .
  5. CHIyeah .
    CHII would # two purple face ?
    MEL*MEL: hmm ?
    CHItwo purple face ?
    MELtwo purple faces would be even better .

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. Sarah eng_USA_Brown4.50
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah111.chaSarah 4;5.291,110554.50

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. hmm5 · 100.0%