PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

5.82 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (234 utterances, 859 words searched).

  1. yeah # well how many is that many ? MOT · eng_USA_Brown/sarah039.cha, line 129 · Sarah 2;11
  2. well # what is it ? MOT · eng_USA_Brown/sarah039.cha, line 528 · Sarah 2;11
  3. well # she don't work ! MOT · eng_USA_Brown/sarah039.cha, line 769 · Sarah 2;11
  4. well # c(o)me (h)ere . MOT · eng_USA_Brown/sarah039.cha, line 795 · Sarah 2;11
  5. well # hasn't she got a name ? MOT · eng_USA_Brown/sarah039.cha, line 986 · Sarah 2;11
  1. COUhow old are you gonna be .
    CHIdat many .
    MOT*MOT: yeah # well how many is that many ?
    CHII [/] # <I want> [/] # I want .
    CHIdis many !
  2. COUwhere's that ?
    CHIdere .
    MOT*MOT: well # what is it ?
    MOTyour what ?
    CHIbees .
  3. MOTit looks it too .
    CHIMummy # you use [?] it .
    MOT*MOT: well # she don't work !
    MOTI like a baby that works .
    MOThaven't you got any babies around here that work # or are they all down at the the beach ?
  4. MOTwhat're you doing ?
    CHInothing .
    MOT*MOT: well # c(o)me (h)ere .
    MOTc(o)me (h)ere and do nothing .
    CHI0 .
  5. MOTwhat's her name ?
    CHIum # baby .
    MOT*MOT: well # hasn't she got a name ?
    CHIyeah # baby .
    MOTjust baby ?

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_Brown5.82
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah039.chaSarah 2;11.30859555.82

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. well5 · 100.0%