PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

5.46 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (327 utterances, 1,466 words searched).

  1. how long ? MOT · eng_USA_Brown/sarah097.cha, line 424 · Sarah 4;02
  2. mmhm # how do you do that ? GAI · eng_USA_Brown/sarah097.cha, line 449 · Sarah 4;02
  3. how (a)bout ears ? MEL · eng_USA_Brown/sarah097.cha, line 686 · Sarah 4;02
  4. how (a)bout some hair ? ANN · eng_USA_Brown/sarah097.cha, line 708 · Sarah 4;02
  5. how do you know ? GAI · eng_USA_Brown/sarah097.cha, line 782 · Sarah 4;02
  6. how about giving him a hat ? GAI · eng_USA_Brown/sarah097.cha, line 804 · Sarah 4;02
  7. how many eyebrows do you have ? MEL · eng_USA_Brown/sarah097.cha, line 834 · Sarah 4;02
  8. how you make it ? MOT · eng_USA_Brown/sarah097.cha, line 1009 · Sarah 4;02
  1. MELfor the whole week ?
    CHInuh(uh) # I know .
    MOT*MOT: how long ?
    CHIcouple more days .
    MELoh .
  2. ANNshe's asked you what you do up there .
    CHII'm gonna play baby house .
    GAI*GAI: mmhm # how do you do that ?
    CHIjust play blocks .
    GAImmhm # Nana has all kinds of toys for you # yes ?
  3. CHIyeah .
    GAII thought it was a face .
    MEL*MEL: how (a)bout ears ?
    CHIears ?
    CHIoh .
  4. GAIyeah .
    MOTshe's never done this before .
    ANN*ANN: how (a)bout some hair ?
    CHII am putting it on .
    CHIyou start beginnin(g) over here .
  5. GAIis it a boy or a girl ?
    CHIa boy .
    GAI*GAI: how do you know ?
    CHIbecause # I made it .
    MELthat's logical .
  6. CHIno # a hair # I said .
    MELoh .
    GAI*GAI: how about giving him a hat ?
    CHII did .
    GAIa hat too ?
  7. CHIhe's gonna be a girl .
    MELjust one eyebrow ?
    MEL*MEL: how many eyebrows do you have ?
    CHItwo .
    CHIhe's gonna have two # too .
  8. GAIif this is a head # and this is a body # where do the arms go ?
    MOTthere's no arms .
    MOT*MOT: how you make it ?
    GAIwhere do you put the arms ?
    GAIgood # and one on the other side .

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_Brown5.46
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah097.chaSarah 4;2.231,466885.46

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. how8 · 100.0%