PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

5.13 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (248 utterances, 975 words searched).

  1. find number # let's get an easy one . MOT · eng_USA_Brown/sarah066.cha, line 57 · Sarah 3;06
  2. find b@l . MOT · eng_USA_Brown/sarah066.cha, line 91 · Sarah 3;06
  3. xxx find another one with letters and you do it all by yourself . MOT · eng_USA_Brown/sarah066.cha, line 165 · Sarah 3;06
  4. find the a@l . MOT · eng_USA_Brown/sarah066.cha, line 179 · Sarah 3;06
  5. go find the b@l . MOT · eng_USA_Brown/sarah066.cha, line 198 · Sarah 3;06
  1. KENthank+you .
    MOTcome on up .
    MOT*MOT: find number # let's get an easy one .
    CHIalright .
    MOTthat a hard one .
  2. CHIa@l +...
    MOTnow where's b@l .
    MOT*MOT: find b@l .
    MOTwhere's b@l ?
    MOTno # the b@l .
  3. MOToh .
    MOToh # numbers .
    MOT*MOT: xxx find another one with letters and you do it all by yourself .
    MOTdid you put anything in it ?
    CHIum # the button on ?
  4. MOT<wa(tch)> [/] # <watch it> [/] # watch it .
    MOTthere's one .
    MOT*MOT: find the a@l .
    CHIthe a@l .
    MOTnow you have to think # you know .
  5. MOTKent doesn't know .
    CHInext to the +...
    MOT*MOT: go find the b@l .
    MOTwhere's the b@l .
    MOTwell you have to go from one to the other .

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_Brown5.13
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah066.chaSarah 3;6.23975555.13

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. find5 · 100.0%