PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

3.90 per 1,000 words of the child (CHI), in 1 of 1 transcripts (297 utterances, 1,025 words searched).

  1. Janice was there . CHI · eng_USA_Brown/sarah110.cha, line 54 · Sarah 4;05
  2. I was . CHI · eng_USA_Brown/sarah110.cha, line 203 · Sarah 4;05
  3. <hey # (a)n(d)> [//] was the trees up ? CHI · eng_USA_Brown/sarah110.cha, line 1114 · Sarah 4;05
  4. yep # I was gonna rip . CHI · eng_USA_Brown/sarah110.cha, line 1154 · Sarah 4;05
  1. MOTI'm gonna go down (a)n(d) get a haircut .
    MOTwhat d(o) ya do at school ?
    CHI*CHI: Janice was there .
    MOTwho ?
    CHIJanice .
  2. MOTyou were only up there an hour .
    MOTyou look like you've been through a war .
    CHI*CHI: I was .
    MOTyou look it too .
    MELwhat are those # Sarah ?
  3. MELyeah .
    MELdo you remember that ?
    CHI*CHI: <hey # (a)n(d)> [//] was the trees up ?
    CHIyou're kiddin(g) !
    MELno .
  4. MELI guess so .
    MELhere # you're gonna rip it .
    CHI*CHI: yep # I was gonna rip .
    GAImay I see ?
    CHIeight nine .

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_Brown3.90
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah110.chaSarah 4;5.221,025443.90

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. was4 · 100.0%