PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

6.40 per 1,000 words of the child (CHI), in 1 of 1 transcripts (380 utterances, 1,093 words searched).

  1. how are you ? CHI · eng_USA_Brown/sarah091.cha, line 124 · Sarah 4;01
  2. how are you today ? CHI · eng_USA_Brown/sarah091.cha, line 127 · Sarah 4;01
  3. how are you today ? CHI · eng_USA_Brown/sarah091.cha, line 130 · Sarah 4;01
  4. how are you today ? CHI · eng_USA_Brown/sarah091.cha, line 133 · Sarah 4;01
  5. how you put it in ? CHI · eng_USA_Brown/sarah091.cha, line 585 · Sarah 4;01
  6. how did I make it ? CHI · eng_USA_Brown/sarah091.cha, line 1560 · Sarah 4;01
  7. how did I make it ? CHI · eng_USA_Brown/sarah091.cha, line 1564 · Sarah 4;01
  1. eng_USA_Brown/sarah091.cha, line 124 · Sarah, 4;1.11
    CHIbecause he's at the circus .
    MEL0 [=! laughs] .
    CHI*CHI: how are you ?
    CHIhow are you today ?
    CHIhow are you today ?
  2. eng_USA_Brown/sarah091.cha, line 127 · Sarah, 4;1.11
    MEL0 [=! laughs] .
    CHIhow are you ?
    CHI*CHI: how are you today ?
    CHIhow are you today ?
    CHIhow are you today ?
  3. eng_USA_Brown/sarah091.cha, line 130 · Sarah, 4;1.11
    CHIhow are you ?
    CHIhow are you today ?
    CHI*CHI: how are you today ?
    CHIhow are you today ?
    CHIhi .
  4. eng_USA_Brown/sarah091.cha, line 133 · Sarah, 4;1.11
    CHIhow are you today ?
    CHIhow are you today ?
    CHI*CHI: how are you today ?
    CHIhi .
    CHIgi(ve) me your hand .
  5. eng_USA_Brown/sarah091.cha, line 585 · Sarah, 4;1.11
    MOTthat's only yarn .
    CHIhuh ?
    CHI*CHI: how you put it in ?
    MOTwhy don't you fix his hair and I'll fix your hair .
    CHIalright .
  6. eng_USA_Brown/sarah091.cha, line 1560 · Sarah, 4;1.11
    CHIa clothes+line ?
    GAIthat's what it looks like .
    CHI*CHI: how did I make it ?
    GAIhuh ?
    CHIhow did I make it ?
  7. eng_USA_Brown/sarah091.cha, line 1564 · Sarah, 4;1.11
    CHIhow did I make it ?
    GAIhuh ?
    CHI*CHI: how did I make it ?
    CHIthis one first # huh ?
    GAImmhm .

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_Brown6.40
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah091.chaSarah 4;1.111,093776.40

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. how7 · 100.0%