PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

4.17 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (280 utterances, 1,198 words searched).

  1. and how (a)bout for you ? MEL · eng_USA_Brown/sarah106.cha, line 185 · Sarah 4;04
  2. you know how to write your name . GAI · eng_USA_Brown/sarah106.cha, line 796 · Sarah 4;04
  3. how (a)bout [!!] that ? MOT · eng_USA_Brown/sarah106.cha, line 996 · Sarah 4;04
  4. how about bringing them to the table ? GAI · eng_USA_Brown/sarah106.cha, line 1062 · Sarah 4;04
  5. y(ou) know how a b@l is closed [//] # all closed up ? MEL · eng_USA_Brown/sarah106.cha, line 1281 · Sarah 4;04
  1. MELwhat did you want for your Daddy ?
    CHInothin(g) .
    MEL*MEL: and how (a)bout for you ?
    CHIlabels .
    MOTwhat ?
  2. MOTno ?
    MOToh # yeah .
    GAI*GAI: you know how to write your name .
    CHI0 .
    MOTstill got a runny nose ?
  3. MOTI don't care .
    CHIhow (a)bout that [!!] ?
    MOT*MOT: how (a)bout [!!] that ?
    CHIwho makes that ?
    MOTSanta_Claus [?] .
  4. MOTthank+you .
    CHI0 .
    GAI*GAI: how about bringing them to the table ?
    CHIwise guys .
    MOTxxx today .
  5. CHIit will be a a@l .
    MOTthat's almost like a b@l # too # isn't it ?
    MEL*MEL: y(ou) know how a b@l is closed [//] # all closed up ?
    CHIoh # like dat ?
    MELmmhm .

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_Brown4.17
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah106.chaSarah 4;4.251,198554.17

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. how5 · 100.0%