PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

3.98 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (323 utterances, 1,004 words searched).

  1. would you like to go to sleep ? MOT · eng_USA_Brown/sarah064.cha, line 1106 · Sarah 3;06
  2. how would you like to take a nap ? MOT · eng_USA_Brown/sarah064.cha, line 1110 · Sarah 3;06
  3. would you like that ? MOT · eng_USA_Brown/sarah064.cha, line 1123 · Sarah 3;06
  4. it would be awful crowded . MOT · eng_USA_Brown/sarah064.cha, line 1131 · Sarah 3;06
  1. MOTI'm awful tired .
    CHIme too .
    MOT*MOT: would you like to go to sleep ?
    CHIum # no .
    MOThow would you like to take a nap ?
  2. MOTwould you like to go to sleep ?
    CHIum # no .
    MOT*MOT: how would you like to take a nap ?
    CHIfor Kent ?
    MOThmm ?
  3. MOTwe'll see .
    MOTwhen Kent goes home maybe # why don't we take a nice nap .
    MOT*MOT: would you like that ?
    MOTin Mummy's bed .
    MOTtake a nice nap .
  4. MOTtake a nice nap .
    CHI(a)n(d) Kent # (a)n(d) Gloria # (a)n(d) +...
    MOT*MOT: it would be awful crowded .
    CHI(a)n(d) Kent # (a)n(d) Gloria # (a)n(d) Courtney .
    MOToh .

Matches by age

One dot per transcript: matches per 1,000 words of everyone but 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_Brown3.98
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah064.chaSarah 3;6.061,004443.98

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. would4 · 100.0%