PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

4.74 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (255 utterances, 1,054 words searched).

  1. you want coffee or tea ? MOT · eng_USA_Brown/sarah120.cha, line 162 · Sarah 4;08
  2. if you want . MEL · eng_USA_Brown/sarah120.cha, line 438 · Sarah 4;08
  3. well # do you want me to cut a little piece out like this # and then you can cut from th… MEL · eng_USA_Brown/sarah120.cha, line 451 · Sarah 4;08
  4. want a cup a tea # now that everything calmed down ? MOT · eng_USA_Brown/sarah120.cha, line 490 · Sarah 4;08
  5. y(ou) want sugar ? MOT · eng_USA_Brown/sarah120.cha, line 856 · Sarah 4;08
  1. eng_USA_Brown/sarah120.cha, line 162 · Sarah, 4;8.07
    MELthey don't look like they punch out # do they ?
    MELI don't think so .
    MOT*MOT: you want coffee or tea ?
    FATanything .
    CHI0 .
  2. eng_USA_Brown/sarah120.cha, line 438 · Sarah, 4;8.07
    CHII think we xxx .
    CHIum # that's for so # snowman # huh ?
    MEL*MEL: if you want .
    CHIdat is goin(g) be winter .
    CHI(a)n(d) I have to cut the # snowman out .
  3. eng_USA_Brown/sarah120.cha, line 451 · Sarah, 4;8.07
    CHIit's hard to cut the snowman out .
    CHIhow you can cut him out ?
    MEL*MEL: well # do you want me to cut a little piece out like this # and then you can cut from there ?
    CHIok .
    CHIif you rip dat one off # um # I can do it .
  4. eng_USA_Brown/sarah120.cha, line 490 · Sarah, 4;8.07
    CHIonce we did # with a big head # about this high .
    MOTwatch the scissors .
    MOT*MOT: want a cup a tea # now that everything calmed down ?
    MEL<Esther tells us that> [//] Roger Brown's secretary tells us all we ever seem to do is sit around and drink tea .
    CHIdat's de <mean old> [/] # mean old witch .
  5. eng_USA_Brown/sarah120.cha, line 856 · Sarah, 4;8.07
    MOT0 .
    MELthank+you .
    MOT*MOT: y(ou) want sugar ?
    CHI0 .
    FATGod bless you .

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_Brown4.74
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah120.chaSarah 4;8.071,054554.74

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. want5 · 100.0%