PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

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

  1. how would you like to take a nap ? MOT · eng_USA_Brown/sarah064.cha, line 1110 · Sarah 3;06
  2. when Kent goes home maybe # why don't we take a nice nap . MOT · eng_USA_Brown/sarah064.cha, line 1120 · Sarah 3;06
  3. take a nice nap . MOT · eng_USA_Brown/sarah064.cha, line 1127 · Sarah 3;06
  1. eng_USA_Brown/sarah064.cha, line 1110 · Sarah, 3;6.06
    MOTwould you like to go to sleep ?
    CHIum # no .
    MOT*MOT: how would you like to take a nap ?
    CHIfor Kent ?
    MOThmm ?
  2. eng_USA_Brown/sarah064.cha, line 1120 · Sarah, 3;6.06
    CHI(a)n(d) you uh ?
    MOTwe'll see .
    MOT*MOT: when Kent goes home maybe # why don't we take a nice nap .
    MOTwould you like that ?
    MOTin Mummy's bed .
  3. eng_USA_Brown/sarah064.cha, line 1127 · Sarah, 3;6.06
    MOTwould you like that ?
    MOTin Mummy's bed .
    MOT*MOT: take a nice nap .
    CHI(a)n(d) Kent # (a)n(d) Gloria # (a)n(d) +...
    MOTit would be awful crowded .

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_Brown2.99
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah064.chaSarah 3;6.061,004332.99

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. nap3 · 100.0%