PHPCLANCHILDES with regular expressions

7 matches in 6 utterances

3.95 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (428 utterances, 1,772 words searched).

  1. take a drink of milk . MOT · eng_USA_Brown/sarah086.cha, line 297 · Sarah 3;11
  2. do you want more milk # Robin ? MOT · eng_USA_Brown/sarah086.cha, line 606 · Sarah 3;11
  3. want some milk ? JOA · eng_USA_Brown/sarah086.cha, line 624 · Sarah 3;11
  4. want more milk # Sarah ? MOT · eng_USA_Brown/sarah086.cha, line 657 · Sarah 3;11
  5. Sarah # Robin # do you want more milk ? MOT · eng_USA_Brown/sarah086.cha, line 659 · Sarah 3;11
  6. oh # now I'm goin(g) put the <cookie on the milk> [//] # milk on the cookie . JOA · eng_USA_Brown/sarah086.cha, line 683 · Sarah 3;11
  7. oh # now I'm goin(g) put the <cookie on the milk> [//] # milk on the cookie . JOA · eng_USA_Brown/sarah086.cha, line 683 · Sarah 3;11
  1. MOT# after you eat your lunch .
    JOAeat # eat # eat # go ahead .
    MOT*MOT: take a drink of milk .
    MOTyou got an awful lot in my mouth .
    MOTwant me to unbutton this for a minute while ya eat .
  2. MELdon't you think so ?
    MOTdon't you ?
    MOT*MOT: do you want more milk # Robin ?
    MOThmm ?
    MOThuh ?
  3. ROGxxx .
    MOThuh ?
    JOA*JOA: want some milk ?
    CHIhey # her [/] # her [= ROBin's] sandwich &bi [/] # bigger .
    JOAyou mean her sandwich is bigger .
  4. MOTwant some cookies # Millicent ?
    MELno # thank+you .
    MOT*MOT: want more milk # Sarah ?
    MOTSarah # Robin # do you want more milk ?
    CHII want +...
  5. MELno # thank+you .
    MOTwant more milk # Sarah ?
    MOT*MOT: Sarah # Robin # do you want more milk ?
    CHII want +...
    MOTxxx .
  6. MOThuh ?
    MOTbeen awful fresh since ya got home .
    JOA*JOA: oh # now I'm goin(g) put the <cookie on the milk> [//] # milk on the cookie .
    JOAclose your mouth .
    CHIno .

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_Brown3.95
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah086.chaSarah 3;11.291,772673.95

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. milk7 · 100.0%