PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

11.56 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (201 utterances, 692 words searched).

  1. there's Auntie Marian . MOT · eng_USA_Brown/sarah022.cha, line 436 · Sarah 2;07
  2. right there . MOT · eng_USA_Brown/sarah022.cha, line 442 · Sarah 2;07
  3. there's too much snow . MOT · eng_USA_Brown/sarah022.cha, line 600 · Sarah 2;07
  4. sit there . MOT · eng_USA_Brown/sarah022.cha, line 616 · Sarah 2;07
  5. bring your doggie back there ? MOT · eng_USA_Brown/sarah022.cha, line 822 · Sarah 2;07
  6. he doesn't want to go over there . MOT · eng_USA_Brown/sarah022.cha, line 838 · Sarah 2;07
  7. that's tooth paste up there # yeah . MOT · eng_USA_Brown/sarah022.cha, line 863 · Sarah 2;07
  8. who put the tooth paste up there ? MOT · eng_USA_Brown/sarah022.cha, line 866 · Sarah 2;07
  1. MOTI won't put the vacuum cleaner on if you drink all your juice .
    MOTyou drink all your juice and I won't put the vacuum clean(er) +...
    MOT*MOT: there's Auntie Marian .
    CHIwhere ?
    MOTright there .
  2. MOTthere's Auntie Marian .
    CHIwhere ?
    MOT*MOT: right there .
    COUwww .
    CHIwhere my xxx .
  3. MOTyou won't be able to go out today # huh .
    CHIno .
    MOT*MOT: there's too much snow .
    CHItoo (s)now .
    CHI(s)now &n &n &n (s)now [?] .
  4. CHI<xxx> [<] .
    CHIno !
    MOT*MOT: sit there .
    MOTsit here .
    CHIsit dere .
  5. MOThuh ?
    CHIbring my doggie back here .
    MOT*MOT: bring your doggie back there ?
    MOTgo ahead over to Sarah # Michael .
    MOTgo over to Sarah .
  6. CHIhere my doggie xxx .
    CHImy doggie xxx .
    MOT*MOT: he doesn't want to go over there .
    CHIhere yyy me # Mummy .
    MOThuh ?
  7. MOThuh ?
    CHItooth+paste up +...
    MOT*MOT: that's tooth paste up there # yeah .
    MOTwho put the tooth paste up there ?
    MOThuh ?
  8. CHItooth+paste up +...
    MOTthat's tooth paste up there # yeah .
    MOT*MOT: who put the tooth paste up there ?
    MOThuh ?
    MOTxxx did .

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_Brown11.56
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah022.chaSarah 2;7.186928811.56

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. there8 · 100.0%