PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

4.94 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (327 utterances, 1,215 words searched).

  1. um . MOT · eng_USA_Brown/sarah053.cha, line 71 · Sarah 3;03
  2. um . MOT · eng_USA_Brown/sarah053.cha, line 259 · Sarah 3;03
  3. um . MOT · eng_USA_Brown/sarah053.cha, line 663 · Sarah 3;03
  4. um . MOT · eng_USA_Brown/sarah053.cha, line 1040 · Sarah 3;03
  5. um . MOT · eng_USA_Brown/sarah053.cha, line 1180 · Sarah 3;03
  6. um ? KEN · eng_USA_Brown/sarah053.cha, line 1270 · Sarah 3;03
  1. MOTa table ?
    CHIge(t) one o(f) dose .
    MOT*MOT: um .
    CHIo:h # ge(t) one o(f) dose # Mommy .
    MOTwe have one o(f) those .
  2. MOTthat's pretty .
    CHIthat's pretty .
    MOT*MOT: um .
    CHIthis is pretty .
    CHIo:h # I like dose .
  3. MOTwhat is it ?
    CHIa baby .
    MOT*MOT: um .
    CHIoh # I like carriage .
    MOTyou got a carriage .
  4. CHIo:h # I wan(t) dat .
    CHIo:h # I wan(t) dat # Mommy .
    MOT*MOT: um .
    CHIo:h # I want dat .
    MOTyou're too big .
  5. MOTcars .
    CHIoh # I ha(ve) one a dose .
    MOT*MOT: um .
    MOTit's a horse .
    MOTyou have a horse # huh ?
  6. KENpresent for Bugs ?
    CHI0 .
    KEN*KEN: um ?
    KENoh # aren't the babies cute .
    CHIoh # look at that baby .

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_Brown4.94
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah053.chaSarah 3;3.131,215664.94

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. um6 · 100.0%