PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.78 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (400 utterances, 1,796 words searched).

  1. does Melissa look different now that she's married ? FAT · eng_USA_Brown/sarah132.cha, line 904 · Sarah 4;11
  2. does she look older ? FAT · eng_USA_Brown/sarah132.cha, line 919 · Sarah 4;11
  3. what does she look like now ? MOT · eng_USA_Brown/sarah132.cha, line 931 · Sarah 4;11
  4. does she look different ? MOT · eng_USA_Brown/sarah132.cha, line 933 · Sarah 4;11
  5. look at her back . MOT · eng_USA_Brown/sarah132.cha, line 1249 · Sarah 4;11
  1. MOTshe'd probably make a planter out of it .
    CHImy mama's funny .
    FAT*FAT: does Melissa look different now that she's married ?
    MOTnow she's old .
    FATshe's not a girl anymore .
  2. FATshe's married .
    FATa married lady .
    FAT*FAT: does she look older ?
    CHI0 .
    MOTreally ?
  3. MELdo I have a long gray beard yet ?
    CHIno .
    MOT*MOT: what does she look like now ?
    MOTdoes she look different ?
    CHIyeah .
  4. CHIno .
    MOTwhat does she look like now ?
    MOT*MOT: does she look different ?
    CHIyeah .
    CHIwhere's your &ma # wedding gown ?
  5. FATyou're gettin(g) old .
    FATyou're gettin(g) wrinkled # too .
    MOT*MOT: look at her back .
    MOTshe's getting all wrinkled .
    MELit's that two piece bathing+suit .

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_Brown2.78
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah132.chaSarah 4;11.191,796552.78

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. look5 · 100.0%