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. let's see it . MOT · eng_USA_Brown/sarah083.cha, line 462 · Sarah 3;10
  2. Kent came to see you . MOT · eng_USA_Brown/sarah083.cha, line 560 · Sarah 3;10
  3. Kent came to see you . FAT · eng_USA_Brown/sarah083.cha, line 562 · Sarah 3;10
  4. did ya see Blanche ? FAT · eng_USA_Brown/sarah083.cha, line 589 · Sarah 3;10
  5. well # you see I have to always # xxx . MOT · eng_USA_Brown/sarah083.cha, line 599 · Sarah 3;10
  6. may I see that ? FAT · eng_USA_Brown/sarah083.cha, line 662 · Sarah 3;10
  7. you won't see # no more . FAT · eng_USA_Brown/sarah083.cha, line 682 · Sarah 3;10
  8. wanted to see God # I guess . FAT · eng_USA_Brown/sarah083.cha, line 698 · Sarah 3;10
  9. see ? FAT · eng_USA_Brown/sarah083.cha, line 1009 · Sarah 3;10
  1. FATI'm glad it's gone .
    CHIuhuh .
    MOT*MOT: let's see it .
    CHIxxx .
    CHIfor Nana !
  2. FAThey # Sarah !
    MOTjust tie her door open will you ?
    MOT*MOT: Kent came to see you .
    FATKent came to see you .
    FATxxx .
  3. MOTjust tie her door open will you ?
    MOTKent came to see you .
    FAT*FAT: Kent came to see you .
    FATxxx .
    MOTo:h .
  4. MOTwhat did Blanche say ?
    MOTto Zayres .
    FAT*FAT: did ya see Blanche ?
    CHIhuh ?
    FAThuh ?
  5. MOTdid you ?
    CHIuhuh .
    MOT*MOT: well # you see I have to always # xxx .
    MOTwhere are you going .
    CHII'm goin(g) to # downstairs .
  6. CHIno !
    CHIlike this # Don [/] Don Donal(d) .
    FAT*FAT: may I see that ?
    CHI<Don # Don # Don # Don> [/] # Don .
    CHIxxx .
  7. FATwhere'd he go ?
    CHIhe goed [*] [: went] to heaven .
    FAT*FAT: you won't see # no more .
    CHIno .
    CHI(be)cause he already died .
  8. CHIhuh ?
    FATyeah .
    FAT*FAT: wanted to see God # I guess .
    CHImaybe he's yyy .
    FAThuh ?
  9. CHIreel [: peel] off ?
    FATyup .
    FAT*FAT: see ?
    MOTyou're gonna be peeled off shortly .
    FATwatch .

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. see9 · 100.0%