PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

8.15 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (234 utterances, 859 words searched).

  1. what's his name ? GRA · eng_USA_Brown/sarah039.cha, line 79 · Sarah 2;11
  2. tell Courtney his name . GRA · eng_USA_Brown/sarah039.cha, line 81 · Sarah 2;11
  3. what's his name ? MOT · eng_USA_Brown/sarah039.cha, line 89 · Sarah 2;11
  4. let's see # what's his name ? MOT · eng_USA_Brown/sarah039.cha, line 659 · Sarah 2;11
  5. I don't know # what's his name ? MOT · eng_USA_Brown/sarah039.cha, line 661 · Sarah 2;11
  6. what's his name ? MOT · eng_USA_Brown/sarah039.cha, line 672 · Sarah 2;11
  7. I don't think that's his name . MOT · eng_USA_Brown/sarah039.cha, line 676 · Sarah 2;11
  1. eng_USA_Brown/sarah039.cha, line 79 · Sarah, 2;11.30
    MOTum .
    GRAyeah # it's your doggie too .
    GRA*GRA: what's his name ?
    GRAtell Courtney his name .
    CHIa Mike .
  2. eng_USA_Brown/sarah039.cha, line 81 · Sarah, 2;11.30
    GRAyeah # it's your doggie too .
    GRAwhat's his name ?
    GRA*GRA: tell Courtney his name .
    CHIa Mike .
    GRAno [?] !
  3. eng_USA_Brown/sarah039.cha, line 89 · Sarah, 2;11.30
    GRAno [?] !
    MOT<no> [<] !
    MOT*MOT: what's his name ?
    GRAwhat's this dog's name ?
    GRAwhat's Nana's dog's name ?
  4. eng_USA_Brown/sarah039.cha, line 659 · Sarah, 2;11.30
    MOTHuckleberry Hound .
    CHIwhat's that ?
    MOT*MOT: let's see # what's his name ?
    MOTI don't know # what's his name ?
    CHIum +...
  5. eng_USA_Brown/sarah039.cha, line 661 · Sarah, 2;11.30
    CHIwhat's that ?
    MOTlet's see # what's his name ?
    MOT*MOT: I don't know # what's his name ?
    CHIum +...
    MOTyou know .
  6. eng_USA_Brown/sarah039.cha, line 672 · Sarah, 2;11.30
    MOTI don't know .
    CHIBoo !
    MOT*MOT: what's his name ?
    CHIBoo xxx .
    MOTI don't think that's his name .
  7. eng_USA_Brown/sarah039.cha, line 676 · Sarah, 2;11.30
    MOTwhat's his name ?
    CHIBoo xxx .
    MOT*MOT: I don't think that's his name .
    MOTyou're right .
    MOTboo .

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_Brown8.15
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah039.chaSarah 2;11.30859778.15

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. his7 · 100.0%