PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

8.22 per 1,000 words of the child (CHI), in 1 of 1 transcripts (254 utterances, 852 words searched).

  1. I not finished . CHI · eng_USA_Brown/sarah112.cha, line 86 · Sarah 4;06
  2. &m &m match xxx # not yyy . CHI · eng_USA_Brown/sarah112.cha, line 117 · Sarah 4;06
  3. they're not fixed yet . CHI · eng_USA_Brown/sarah112.cha, line 237 · Sarah 4;06
  4. hunm I'm not +... CHI · eng_USA_Brown/sarah112.cha, line 518 · Sarah 4;06
  5. that's not my name # Tina . CHI · eng_USA_Brown/sarah112.cha, line 520 · Sarah 4;06
  6. not the hard one . CHI · eng_USA_Brown/sarah112.cha, line 1208 · Sarah 4;06
  7. it's not a sandwich but # it's gonna be a sandwich . CHI · eng_USA_Brown/sarah112.cha, line 1378 · Sarah 4;06
  1. GAIwhat ?
    CHIyou [/] you could peek but +...
    CHI*CHI: I not finished .
    CHIlook it .
    GAIwhat is that ?
  2. CHIalright now +...
    GAIwhat would you do with a yyy ?
    CHI*CHI: &m &m match xxx # not yyy .
    GAIwhat would you do with a match ?
    CHIwell # <I will> [/] # I will get dead .
  3. MOTdon't pull the strings (un)till we get em fixed .
    CHIsee ?
    CHI*CHI: they're not fixed yet .
    GAIwhat has to happen to them ?
    CHIthey won't stay on though .
  4. GAIyou will be a real ballerina # won't you ?
    MOTshe's gonna be Tina the Ballerina # huh ?
    CHI*CHI: hunm I'm not +...
    CHIthat's not my name # Tina .
    MOTin the show you're gonna be Tina the Ballerina .
  5. MOTshe's gonna be Tina the Ballerina # huh ?
    CHIhunm I'm not +...
    CHI*CHI: that's not my name # Tina .
    MOTin the show you're gonna be Tina the Ballerina .
    MOT(a)n(d) what else are ya gonna be ?
  6. CHIMommy # here's some cheese .
    MOTyeah # but that +...
    CHI*CHI: not the hard one .
    MOTyeah but you don't eat that cheese like that .
    MOTyou put it on crackers .
  7. CHI0 .
    GAIyou made a sandwich .
    CHI*CHI: it's not a sandwich but # it's gonna be a sandwich .

Matches by age

One dot per transcript: matches per 1,000 words of the child (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_Brown8.22
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah112.chaSarah 4;6.05852778.22

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. not7 · 100.0%