PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.67 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (380 utterances, 1,634 words searched).

  1. show her how she works . MOT · eng_USA_Brown/sarah107.cha, line 21 · Sarah 4;05
  2. show her how she works . MOT · eng_USA_Brown/sarah107.cha, line 255 · Sarah 4;05
  3. how does it look ? GAI · eng_USA_Brown/sarah107.cha, line 520 · Sarah 4;05
  4. I can't see how it can really escape it with all that junk . MOT · eng_USA_Brown/sarah107.cha, line 915 · Sarah 4;05
  5. how do you take that off # Sarah ? GAI · eng_USA_Brown/sarah107.cha, line 1329 · Sarah 4;05
  6. how big is she ? GAI · eng_USA_Brown/sarah107.cha, line 1474 · Sarah 4;05
  1. eng_USA_Brown/sarah107.cha, line 21 · Sarah, 4;5.04
    GAIwhat were you telling me about that doll ?
    CHIit's Kissy .
    MOT*MOT: show her how she works .
    CHIshe +...
    GAIoh she kisses you when you kiss her .
  2. eng_USA_Brown/sarah107.cha, line 255 · Sarah, 4;5.04
    MOTwait (un)till you see this one .
    CHIhere's Baby_First_Step .
    MOT*MOT: show her how she works .
    CHIshe doesn't work .
    MOTwhy doesn't she work ?
  3. eng_USA_Brown/sarah107.cha, line 520 · Sarah, 4;5.04
    MOTyou're crazier than I am .
    GAIthat's enough .
    GAI*GAI: how does it look ?
    CHIgood .
    GAIit does ?
  4. eng_USA_Brown/sarah107.cha, line 915 · Sarah, 4;5.04
    CHIuhoh # lipstick's getting on it [= powder puff] .
    MOTlipstick's getting on the powder puff .
    MOT*MOT: I can't see how it can really escape it with all that junk .
    MOToh you look gorgeous .
    MOTjust really # y(ou) know +...
  5. eng_USA_Brown/sarah107.cha, line 1329 · Sarah, 4;5.04
    CHII sure do .
    MOTlook at you .
    GAI*GAI: how do you take that off # Sarah ?
    CHIby soap (a)n(d) water .
    CHIthat's all .
  6. eng_USA_Brown/sarah107.cha, line 1474 · Sarah, 4;5.04
    CHIyeah .
    GAII guess so .
    GAI*GAI: how big is she ?
    CHIshe's ten feet tall .
    CHIthat big .

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_Brown3.67
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah107.chaSarah 4;5.041,634663.67

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. how6 · 100.0%