PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

7.62 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (359 utterances, 1,181 words searched).

  1. oh . MOT · eng_USA_Brown/sarah083.cha, line 411 · Sarah 3;10
  2. oh . MOT · eng_USA_Brown/sarah083.cha, line 448 · Sarah 3;10
  3. oh yes you did . MOT · eng_USA_Brown/sarah083.cha, line 492 · Sarah 3;10
  4. oh # I'm sorry . KEN · eng_USA_Brown/sarah083.cha, line 676 · Sarah 3;10
  5. oh . FAT · eng_USA_Brown/sarah083.cha, line 692 · Sarah 3;10
  6. oh . FAT · eng_USA_Brown/sarah083.cha, line 818 · Sarah 3;10
  7. oh # you like Aunt_Dot . FAT · eng_USA_Brown/sarah083.cha, line 1095 · Sarah 3;10
  8. oh yeah ? FAT · eng_USA_Brown/sarah083.cha, line 1411 · Sarah 3;10
  9. oh # Sarah . MOT · eng_USA_Brown/sarah083.cha, line 1472 · Sarah 3;10
  1. FATlook it .
    FATthe chickie laid an egg .
    MOT*MOT: oh .
    MOTwhat happened to his head ?
    CHIsee the little snake ?
  2. MOTare you usin(g) my lipstick .
    FATright here .
    MOT*MOT: oh .
    FATjust junk .
    FATit's all gone # huh ?
  3. FATyou fell out of bed last night .
    CHIno !
    MOT*MOT: oh yes you did .
    FATyes you did .
    CHIxxx .
  4. FATtell Kent what happened to Uncle_Eddie .
    CHIUncle_Eddie died .
    KEN*KEN: oh # I'm sorry .
    FATwhere'd he go ?
    CHIhe goed [*] [: went] to heaven .
  5. FAThow_come he died ?
    CHI<(be)cause> [/] # <(be)cause> [/] # <(be)cause> [/] # (be)cause he wanted to .
    FAT*FAT: oh .
    CHIhuh ?
    FATyeah .
  6. CHIchickie died Mama cried .
    CHIbanana # banana black .
    FAT*FAT: oh .
    FATsplit .
    CHIsplit .
  7. FATI thought you liked it there .
    CHInah .
    FAT*FAT: oh # you like Aunt_Dot .
    MOTxxx .
    FATwhat chu worried about ?
  8. FATa what kind of snake ?
    CHIa dead snake .
    FAT*FAT: oh yeah ?
    CHI(a)n(d) a duck .
    CHIhe had all the animals .
  9. CHIthat hard !
    CHIold MacDonald had a chick +... [+ bch]
    MOT*MOT: oh # Sarah .
    MOTsing somethin(g) else .
    MOTI don't want a +...

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_Brown7.62
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah083.chaSarah 3;10.301,181997.62

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. oh9 · 100.0%