PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

3.61 per 1,000 words of the child (CHI), in 1 of 1 transcripts (246 utterances, 832 words searched).

  1. I like Mighty_White # too . CHI · eng_USA_Brown/sarah097.cha, line 173 · Sarah 4;02
  2. he's gonna have two # too . CHI · eng_USA_Brown/sarah097.cha, line 839 · Sarah 4;02
  3. two and too . CHI · eng_USA_Brown/sarah097.cha, line 843 · Sarah 4;02
  1. eng_USA_Brown/sarah097.cha, line 173 · Sarah, 4;2.23
    MOTDonald_Duck soup .
    ANNyeah .
    CHI*CHI: I like Mighty_White # too .
    ANNit's toothpaste .
    ANNit's toothpaste .
  2. eng_USA_Brown/sarah097.cha, line 839 · Sarah, 4;2.23
    MELhow many eyebrows do you have ?
    CHItwo .
    CHI*CHI: he's gonna have two # too .
    CHItwo and too .
    ANNtwo and two are four .
  3. eng_USA_Brown/sarah097.cha, line 843 · Sarah, 4;2.23
    CHItwo .
    CHIhe's gonna have two # too .
    CHI*CHI: two and too .
    ANNtwo and two are four .
    CHItwo and two is # one .

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_Brown3.61
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah097.chaSarah 4;2.23832333.61

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. too3 · 100.0%