PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

22.22 per 1,000 words of the child (CHI), in 1 of 1 transcripts (136 utterances, 405 words searched).

  1. are you hot ? CHI · eng_USA_Brown/sarah086.cha, line 956 · Sarah 3;11
  2. are you cold ? CHI · eng_USA_Brown/sarah086.cha, line 960 · Sarah 3;11
  3. are ya # a # cool . CHI · eng_USA_Brown/sarah086.cha, line 966 · Sarah 3;11
  4. are ya hot ? CHI · eng_USA_Brown/sarah086.cha, line 972 · Sarah 3;11
  5. are ya hot ? CHI · eng_USA_Brown/sarah086.cha, line 976 · Sarah 3;11
  6. are ya cool ? CHI · eng_USA_Brown/sarah086.cha, line 982 · Sarah 3;11
  7. are ya cool ? CHI · eng_USA_Brown/sarah086.cha, line 984 · Sarah 3;11
  8. are ya cool ? CHI · eng_USA_Brown/sarah086.cha, line 988 · Sarah 3;11
  9. are ya cold ? CHI · eng_USA_Brown/sarah086.cha, line 992 · Sarah 3;11
  1. MOTdo you know .
    CHIno .
    CHI*CHI: are you hot ?
    MOTno .
    CHIare you cold ?
  2. CHIare you hot ?
    MOTno .
    CHI*CHI: are you cold ?
    MOTno .
    MOTI'm just right .
  3. MOTno .
    MOTI'm just right .
    CHI*CHI: are ya # a # cool .
    MOTno .
    MOTjust right .
  4. MOTno .
    MOTjust right .
    CHI*CHI: are ya hot ?
    MOThmm ?
    CHIare ya hot ?
  5. CHIare ya hot ?
    MOThmm ?
    CHI*CHI: are ya hot ?
    MOTnope .
    JOAshe's a faker+face Mummy .
  6. MOTnope .
    JOAshe's a faker+face Mummy .
    CHI*CHI: are ya cool ?
    CHIare ya cool ?
    CHI# cool ?
  7. JOAshe's a faker+face Mummy .
    CHIare ya cool ?
    CHI*CHI: are ya cool ?
    CHI# cool ?
    CHIare ya cool ?
  8. CHIare ya cool ?
    CHI# cool ?
    CHI*CHI: are ya cool ?
    CHI# cool ?
    CHIare ya cold ?
  9. CHIare ya cool ?
    CHI# cool ?
    CHI*CHI: are ya cold ?
    CHIcool ?
    MOTya know we have to go find Chantilly today too .

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_Brown22.22
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah086.chaSarah 3;11.294059922.22

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. are9 · 100.0%