PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

5.44 per 1,000 words of the child (CHI), in 1 of 1 transcripts (309 utterances, 1,102 words searched).

  1. there's two doors . CHI · eng_USA_Brown/sarah094.cha, line 213 · Sarah 4;02
  2. two balloons . CHI · eng_USA_Brown/sarah094.cha, line 333 · Sarah 4;02
  3. I have a drum over my Nana's but I don't have two monkeys . CHI · eng_USA_Brown/sarah094.cha, line 393 · Sarah 4;02
  4. you make two k@l-s ? CHI · eng_USA_Brown/sarah094.cha, line 901 · Sarah 4;02
  5. two a@l-s # now an m@l # huh ? CHI · eng_USA_Brown/sarah094.cha, line 1013 · Sarah 4;02
  6. I'm gonna write something # in [?] two [?] . CHI · eng_USA_Brown/sarah094.cha, line 1155 · Sarah 4;02
  1. eng_USA_Brown/sarah094.cha, line 213 · Sarah, 4;2.01
    MOTthat's a silo .
    MOTit looks like that # huh ?
    CHI*CHI: there's two doors .
    MOThmm .
    FATdo you know what a lighthouse is ?
  2. eng_USA_Brown/sarah094.cha, line 333 · Sarah, 4;2.01
    CHIin the balloons again .
    CHIthe balloons again # on the other side .
    CHI*CHI: two balloons .
    CHIthey singin(g) Happy+Birthday .
    CHIhappy birthday to you .
  3. eng_USA_Brown/sarah094.cha, line 393 · Sarah, 4;2.01
    MELxxx .
    CHIdubadubadubdumdum@b .
    CHI*CHI: I have a drum over my Nana's but I don't have two monkeys .
    CHIyou snap and he comes .
    MELdoes he come when you snap ?
  4. eng_USA_Brown/sarah094.cha, line 901 · Sarah, 4;2.01
    MOTmake a k@l .
    CHIoh .
    CHI*CHI: you make two k@l-s ?
    CHIa little one and a big one ?
    MOTyeah .
  5. eng_USA_Brown/sarah094.cha, line 1013 · Sarah, 4;2.01
    MOTup down # then cross it .
    CHIoh # that's an xxx .
    CHI*CHI: two a@l-s # now an m@l # huh ?
    MOTno # wait until you can accomplish an a first before you go to the m@l-s .
    CHIthat's a m@l .
  6. eng_USA_Brown/sarah094.cha, line 1155 · Sarah, 4;2.01
    MELa pain in your neck ?
    CHIMommy # get the scissors .
    CHI*CHI: I'm gonna write something # in [?] two [?] .
    CHII'm gonna cut all this out .
    MOTyou gonna cut all this out ?

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_Brown5.44
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah094.chaSarah 4;2.011,102665.44

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. two6 · 100.0%