PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

2.54 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (950 utterances, 3,543 words searched).

  1. huh ? MOT · eng_USA_Valian/07a.cha, line 40 · 07A 2;03
  2. huh ! MOT · eng_USA_Valian/07a.cha, line 1162 · 07A 2;03
  3. oh, this one's not tired, huh ? MOT · eng_USA_Valian/07a.cha, line 1613 · 07A 2;03
  4. your book, too, huh ? MOT · eng_USA_Valian/07a.cha, line 1980 · 07A 2;03
  5. you got your toys all over the place, huh ? FAT · eng_USA_Valian/07a.cha, line 2111 · 07A 2;03
  6. oh, boy, that's a nice lion, huh ? FAT · eng_USA_Valian/07a.cha, line 2135 · 07A 2;03
  7. yeah, you do, huh ? FAT · eng_USA_Valian/07a.cha, line 2669 · 07A 2;03
  8. huh ? MOT · eng_USA_Valian/07a.cha, line 2853 · 07A 2;03
  9. funny machine, huh ? FAT · eng_USA_Valian/07a.cha, line 3101 · 07A 2;03
  1. CHIuh .
    MOTyou remember ?
    MOT*MOT: huh ?
    CHIyeah . [+ V]
    MOTyeah ?
  2. MOTthat makes a funny noise .
    MOTdo it again .
    MOT*MOT: huh !
    MOTthat funny ?
    MOTsilly Child .
  3. MOTput them with the other things .
    CHI[- From bed+room] xxx out, out .
    MOT*MOT: oh, this one's not tired, huh ?
    CHII bought .
    MOTdid you buy something ?
  4. MOTwhose book is this ?
    CHImy book .
    MOT*MOT: your book, too, huh ?
    MOTwhose puppet is this ?
    CHIuh .
  5. INVInvestigator .
    MOTInvestigator and Observer .
    FAT*FAT: you got your toys all over the place, huh ?
    FATso you got some new toys .
    CHIsee ?
  6. CHIlionie . [+ V]
    FATthat's a lion !
    FAT*FAT: oh, boy, that's a nice lion, huh ?
    MOTcome and show Daddy the gorilla .
    FATxxx .
  7. FATyou want Grammy stuck inside the lobster trap ?
    CHIyeah .
    FAT*FAT: yeah, you do, huh ?
    CHIyeah .
    CHIhere ! [+ V]
  8. MOTyou were right .
    CHIum:, bret@c [= barette] .
    MOT*MOT: huh ?
    CHIa bret@c [% barrette] .
    MOTI don't have any barrettes for me .
  9. MOTfunny ?
    IN2it's funny ?
    FAT*FAT: funny machine, huh ?
    INVsee how it goes around ?
    INVsee it moving ?

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. 07A eng_USA_Valian2.54
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Valian/07a.cha07A 2;3.203,543992.54

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. huh9 · 100.0%