PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

2.46 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (343 utterances, 1,623 words searched).

  1. yeah # but what else ? MOT · eng_USA_Brown/sarah112.cha, line 277 · Sarah 4;06
  2. (a)n(d) what else are ya gonna be ? MOT · eng_USA_Brown/sarah112.cha, line 525 · Sarah 4;06
  3. what else do you need ? GAI · eng_USA_Brown/sarah112.cha, line 835 · Sarah 4;06
  4. yes # but someone else is using it . GAI · eng_USA_Brown/sarah112.cha, line 1018 · Sarah 4;06
  1. MOTwhat kind o(f) shoes are they ?
    CHIballets .
    MOT*MOT: yeah # but what else ?
    MOTwhat's the other name ?
    CHIthese ?
  2. CHIthat's not my name # Tina .
    MOTin the show you're gonna be Tina the Ballerina .
    MOT*MOT: (a)n(d) what else are ya gonna be ?
    CHITin(a) +...
    MOTno # what's the other two ?
  3. GAIaah # what is this ?
    CHImy night+gown .
    GAI*GAI: what else do you need ?
    CHIfor here ?
    CHIneck .
  4. MOTyou didn't get the other one fixed yet # huh ?
    MOThaven't got it back yet ?
    GAI*GAI: yes # but someone else is using it .
    MOTdo you have one at home so you don't have to keep dragging it around with ya ?
    GAIyeah .

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_Brown2.46
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah112.chaSarah 4;6.051,623442.46

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. else4 · 100.0%