PHPCLANCHILDES with regular expressions

3 matches in 2 utterances

3.34 per 1,000 words of the child (CHI), in 1 of 1 transcripts (288 utterances, 897 words searched).

  1. now put some lipstick on my <ch(in) [?]> [//] # neck (a)n(d) chin . CHI · eng_USA_Brown/sarah107.cha, line 962 · Sarah 4;05
  2. I saw my chin in there and it looks like # like chin's amorn@c . CHI · eng_USA_Brown/sarah107.cha, line 1066 · Sarah 4;05
  3. I saw my chin in there and it looks like # like chin's amorn@c . CHI · eng_USA_Brown/sarah107.cha, line 1066 · Sarah 4;05
  1. eng_USA_Brown/sarah107.cha, line 962 · Sarah, 4;5.04
    MOToh # the things I got !
    GAIgood .
    CHI*CHI: now put some lipstick on my <ch(in) [?]> [//] # neck (a)n(d) chin .
    MOTc(o)me on # don't put any more on .
    MOTyou look like yyy .
  2. eng_USA_Brown/sarah107.cha, line 1066 · Sarah, 4;5.04
    GAIwhat ?
    CHIgorgeous .
    CHI*CHI: I saw my chin in there and it looks like # like chin's amorn@c .
    GAIit looks like +...
    CHIchins in morning .

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_Brown3.34
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah107.chaSarah 4;5.04897233.34

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. chin3 · 100.0%