PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

1.96 per 1,000 words of the child (CHI), in 1 of 1 transcripts (1,336 utterances, 2,554 words searched).

  1. cow # moo . CHI · eng_USA_Bloom/peter06.cha, line 2126 · Peter 2;00
  2. Peter has the cow . CHI · eng_USA_Bloom/peter06.cha, line 2237 · Peter 2;00
  3. not a cow . CHI · eng_USA_Bloom/peter06.cha, line 2269 · Peter 2;00
  4. cow says moo . CHI · eng_USA_Bloom/peter06.cha, line 5693 · Peter 2;00
  5. cow says moo # xxx # horsie ? CHI · eng_USA_Bloom/peter06.cha, line 5737 · Peter 2;00
  1. eng_USA_Bloom/peter06.cha, line 2126 · Peter, 2;0.10
    PATlook at that !
    PATit's a cow .
    CHI*CHI: cow # moo .
    PATmoo # that's right .
    CHIthat's a mouse ?
  2. eng_USA_Bloom/peter06.cha, line 2237 · Peter, 2;0.10
    PATit's a dog # .
    LOIxxx .
    CHI*CHI: Peter has the cow .
    LOIlet's see # hello # woof woof .
    CHIsiren !
  3. eng_USA_Bloom/peter06.cha, line 2269 · Peter, 2;0.10
    CHIcows in there .
    LOIno # that's not a cow .
    CHI*CHI: not a cow .
    PATxxx .
    CHIthat .
  4. eng_USA_Bloom/peter06.cha, line 5693 · Peter, 2;0.10
    CHImoo .
    LOIxxx # cow says moo .
    CHI*CHI: cow says moo .
    LOImmhm .
    CHImmhm .
  5. eng_USA_Bloom/peter06.cha, line 5737 · Peter, 2;0.10
    PATthat's right .
    LOIcow says moo .
    CHI*CHI: cow says moo # xxx # horsie ?
    CHIhorsie # xxx .
    LOIwhat're you doing ?

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. Peter eng_USA_Bloom1.96
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Bloom/peter06.chaPeter 2;0.102,554551.96

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. cow5 · 100.0%