PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

6.62 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (307 utterances, 1,058 words searched).

  1. how are you ? GLO · eng_USA_Brown/sarah005.cha, line 23 · Sarah 2;03
  2. get your baby and show them how +... MOT · eng_USA_Brown/sarah005.cha, line 196 · Sarah 2;03
  3. show Russ how you sing . MOT · eng_USA_Brown/sarah005.cha, line 817 · Sarah 2;03
  4. and how old are you ? MOT · eng_USA_Brown/sarah005.cha, line 1039 · Sarah 2;03
  5. how old is Mike ? MOT · eng_USA_Brown/sarah005.cha, line 1045 · Sarah 2;03
  6. how old is Mike ? MOT · eng_USA_Brown/sarah005.cha, line 1051 · Sarah 2;03
  7. you know how to do that . MOT · eng_USA_Brown/sarah005.cha, line 1130 · Sarah 2;03
  1. eng_USA_Brown/sarah005.cha, line 23 · Sarah, 2;3.26
    CHIhi .
    GLOhi # Sarah .
    GLO*GLO: how are you ?
    CHIhow [?] # you .
    CHIxxx .
  2. eng_USA_Brown/sarah005.cha, line 196 · Sarah, 2;3.26
    MOTxxx new baby .
    MOTwe got a new baby .
    MOT*MOT: get your baby and show them how +...
    CHIxxx new baby .
    GLOoh # look at that .
  3. eng_USA_Brown/sarah005.cha, line 817 · Sarah, 2;3.26
    MOTfor Russ .
    MOThe doesn't xxx .
    MOT*MOT: show Russ how you sing .
    MOThmm ?
    CHIxxx .
  4. eng_USA_Brown/sarah005.cha, line 1039 · Sarah, 2;3.26
    MOTwhat's your name ?
    CHII Sarah .
    MOT*MOT: and how old are you ?
    CHII two .
    MOTyou're two .
  5. eng_USA_Brown/sarah005.cha, line 1045 · Sarah, 2;3.26
    CHII two .
    MOTyou're two .
    MOT*MOT: how old is Mike ?
    CHIMike two .
    MOTno # not [//] Mike's not two .
  6. eng_USA_Brown/sarah005.cha, line 1051 · Sarah, 2;3.26
    CHIMike two .
    MOTno # not [//] Mike's not two .
    MOT*MOT: how old is Mike ?
    CHIMike gone .
    MOThe's gone !
  7. eng_USA_Brown/sarah005.cha, line 1130 · Sarah, 2;3.26
    MOTwell # push it down # push the legs down on the baby .
    CHIhmm .
    MOT*MOT: you know how to do that .
    CHIxxx .
    CHIyou .

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_Brown6.62
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah005.chaSarah 2;3.261,058776.62

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%