PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

4.74 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (318 utterances, 1,477 words searched).

  1. then that way . MOT · eng_USA_Brown/sarah094.cha, line 853 · Sarah 4;02
  2. straight down # then up # and down . MOT · eng_USA_Brown/sarah094.cha, line 879 · Sarah 4;02
  3. then up to the sky # and down to the ground . MOT · eng_USA_Brown/sarah094.cha, line 914 · Sarah 4;02
  4. then cross it . MOT · eng_USA_Brown/sarah094.cha, line 975 · Sarah 4;02
  5. then down # and over . MOT · eng_USA_Brown/sarah094.cha, line 985 · Sarah 4;02
  6. up down # then cross it . MOT · eng_USA_Brown/sarah094.cha, line 1009 · Sarah 4;02
  7. see then you make a p@l . MOT · eng_USA_Brown/sarah094.cha, line 1037 · Sarah 4;02
  1. MOThold it that way .
    CHIxxx that way .
    MOT*MOT: then that way .
    CHIand down this way .
    MOTno # this way .
  2. MOTthere # that's a xxx .
    CHIoh .
    MOT*MOT: straight down # then up # and down .
    CHIbig one or little one ?
    MOTwell # whichever one you wanna make .
  3. CHI<is that> [/] # <is that> [/] # is that a straight line ?
    MOTyeah # but you want a straight line down .
    MOT*MOT: then up to the sky # and down to the ground .
    CHIthat way down to the ground ?
    MOTyeah # now make a line up to the sky # over here # in the middle .
  4. MOTthis is an a@l .
    MOTdown # like a tent .
    MOT*MOT: then cross it .
    CHIoh # looks like a tent .
    MOTyeah .
  5. MOTyeah # now down # down .
    MOTno # up to a point # see ?
    MOT*MOT: then down # and over .
    CHIthen go on that line .
    MOTnow # just cross it .
  6. CHIlike that .
    MOTdown # down # up down .
    MOT*MOT: up down # then cross it .
    CHIoh # that's an xxx .
    CHItwo a@l-s # now an m@l # huh ?
  7. CHImake +...
    MOTxxx .
    MOT*MOT: see then you make a p@l .
    MOTyou make an o@l and put a line on it .
    CHIyes .

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_Brown4.74
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah094.chaSarah 4;2.011,477774.74

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. then7 · 100.0%