PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

2.33 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (355 utterances, 1,717 words searched).

  1. the puppy's name is Princess ? MOT · eng_USA_Brown/sarah122.cha, line 197 · Sarah 4;08
  2. what's her name ? MOT · eng_USA_Brown/sarah122.cha, line 1018 · Sarah 4;08
  3. what's my name ? MOT · eng_USA_Brown/sarah122.cha, line 1294 · Sarah 4;08
  4. what's his name ? GAI · eng_USA_Brown/sarah122.cha, line 1317 · Sarah 4;08
  1. MOTI'll be glad when summer comes .
    CHI(a)n(d) that little puppy # his name is Princess .
    MOT*MOT: the puppy's name is Princess ?
    CHIyeah .
    MOTwant the sugar ?
  2. CHIy(ou) mean over there ?
    MOTyeah # Nana_Gee's .
    MOT*MOT: what's her name ?
    MOTwhat's her telephone number ?
    CHIdo I know ?
  3. CHIfly into the oven .
    CHIhi # Carol .
    MOT*MOT: what's my name ?
    CHIhi # Carol .
    MOTwhen she was little # just after she started to talk # instead of calling me Mama # she'd call me Carol .
  4. MOTtake it easy .
    MOTyou'll break it .
    GAI*GAI: what's his name ?
    CHIhis name is Flippy_bippy@wp .
    CHIFlippy # I mean # (a)n(d) Sandy .

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_Brown2.33
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah122.chaSarah 4;8.201,717442.33

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. name4 · 100.0%