PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

5.17 per 1,000 words of the child (CHI), in 1 of 1 transcripts (234 utterances, 773 words searched).

  1. see ? CHI · eng_USA_Brown/sarah134.cha, line 308 · Sarah 5;00
  2. see ? CHI · eng_USA_Brown/sarah134.cha, line 319 · Sarah 5;00
  3. le(t) me see how much it is . CHI · eng_USA_Brown/sarah134.cha, line 652 · Sarah 5;00
  4. see: ? CHI · eng_USA_Brown/sarah134.cha, line 778 · Sarah 5;00
  1. eng_USA_Brown/sarah134.cha, line 308 · Sarah, 5;0.02
    CHIbut over here like [//] # it looks like a five # huh # but it's upside+down .
    GAImmhm .
    CHI*CHI: see ?
    CHIif I go like this will it balance ?
    GAIwill it ?
  2. eng_USA_Brown/sarah134.cha, line 319 · Sarah, 5;0.02
    CHIyep .
    CHIhere we xxx .
    CHI*CHI: see ?
    MOT0 .
    CHII put the nine on .
  3. eng_USA_Brown/sarah134.cha, line 652 · Sarah, 5;0.02
    MOTsee if it balances .
    MOTso what does that mean ?
    CHI*CHI: le(t) me see how much it is .
    MOTthere's five and three and one +...
    CHIand the one .
  4. eng_USA_Brown/sarah134.cha, line 778 · Sarah, 5;0.02
    MOTno .
    MOTyou can't [?] make it work that way .
    CHI*CHI: see: ?
    MOTyeah # that's cheatin(g) .
    MOTalready you've learnin(g) how to cheat ?

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_Brown5.17
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah134.chaSarah 5;0.02773445.17

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. see4 · 100.0%