PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

15.75 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (151 utterances, 508 words searched).

  1. hmm ? MOT · eng_USA_Brown/sarah004.cha, line 18 · Sarah 2;03
  2. hmm ? MOT · eng_USA_Brown/sarah004.cha, line 67 · Sarah 2;03
  3. hmm ? MOT · eng_USA_Brown/sarah004.cha, line 100 · Sarah 2;03
  4. hmm ? MOT · eng_USA_Brown/sarah004.cha, line 314 · Sarah 2;03
  5. hmm ? MOT · eng_USA_Brown/sarah004.cha, line 338 · Sarah 2;03
  6. hmm ? MOT · eng_USA_Brown/sarah004.cha, line 368 · Sarah 2;03
  7. hmm ? MOT · eng_USA_Brown/sarah004.cha, line 403 · Sarah 2;03
  8. hmm ? MOT · eng_USA_Brown/sarah004.cha, line 691 · Sarah 2;03
  1. eng_USA_Brown/sarah004.cha, line 18 · Sarah, 2;3.22
    MOT0 .
    CHIxxx .
    MOT*MOT: hmm ?
    CHII went boom@o .
    MOTyou went boom@o # when # last night ?
  2. eng_USA_Brown/sarah004.cha, line 67 · Sarah, 2;3.22
    CHII got a yyy too .
    MOTyou got a ribbon too ?
    MOT*MOT: hmm ?
    CHIxxx door .
    MOT0 .
  3. eng_USA_Brown/sarah004.cha, line 100 · Sarah, 2;3.22
    CHIhere .
    CHIride oh ride .
    MOT*MOT: hmm ?
    CHIbyebye xxx .
    MOTmatter ?
  4. eng_USA_Brown/sarah004.cha, line 314 · Sarah, 2;3.22
    MOTSanta_Claus going to bring you another Bobo ?
    CHI0 .
    MOT*MOT: hmm ?
    MOTand what else ?
    CHIxxx .
  5. eng_USA_Brown/sarah004.cha, line 338 · Sarah, 2;3.22
    MOTit's bad enough now .
    CHIxxx .
    MOT*MOT: hmm ?
    CHIxxx .
    CHIsee dere .
  6. eng_USA_Brown/sarah004.cha, line 368 · Sarah, 2;3.22
    MOTGrampy@f .
    MOTyou all ready to do your house work ?
    MOT*MOT: hmm ?
    CHIxxx .
    MOTthere it is .
  7. eng_USA_Brown/sarah004.cha, line 403 · Sarah, 2;3.22
    MOTxxx <the little one> [/] # <the one that xxx> [/] # the one that has no clothes on .
    CHIxxx .
    MOT*MOT: hmm ?
    CHIxxx .
    MOTxxx .
  8. eng_USA_Brown/sarah004.cha, line 691 · Sarah, 2;3.22
    CHIblanket .
    MOTdon't you love the baby ?
    MOT*MOT: hmm ?
    CHIxxx .
    MOTwhat're you trying to do # make the baby sit ?

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_Brown15.75
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah004.chaSarah 2;3.225088815.75

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. hmm8 · 100.0%