PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

4.55 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (271 utterances, 1,099 words searched).

  1. what's the dog's name ? MOT · eng_USA_Brown/sarah071.cha, line 107 · Sarah 3;07
  2. what's Arthur's dog's name ? MOT · eng_USA_Brown/sarah071.cha, line 114 · Sarah 3;07
  3. what's his name ? MOT · eng_USA_Brown/sarah071.cha, line 119 · Sarah 3;07
  4. what's this # a w@l # u@l # h@l +... MOT · eng_USA_Brown/sarah071.cha, line 352 · Sarah 3;07
  5. oh # what's this ? MOT · eng_USA_Brown/sarah071.cha, line 669 · Sarah 3;07
  1. eng_USA_Brown/sarah071.cha, line 107 · Sarah, 3;7.30
    MOTdo you ?
    CHII didn't see him .
    MOT*MOT: what's the dog's name ?
    CHISparky ?
    MOTno # Sparky's downstairs .
  2. eng_USA_Brown/sarah071.cha, line 114 · Sarah, 3;7.30
    CHISparky ?
    MOTno # Sparky's downstairs .
    MOT*MOT: what's Arthur's dog's name ?
    CHIuh # let me get my Alphabits and have a dog .
    MOTwhat's his name ?
  3. eng_USA_Brown/sarah071.cha, line 119 · Sarah, 3;7.30
    MOTwhat's Arthur's dog's name ?
    CHIuh # let me get my Alphabits and have a dog .
    MOT*MOT: what's his name ?
    MOTTed [//] # no not Ted either .
    MOToh # <tell Kent> [/] # tell Kent what happened to Inky ?
  4. eng_USA_Brown/sarah071.cha, line 352 · Sarah, 3;7.30
    CHIwhoops !
    MOTwhat ?
    MOT*MOT: what's this # a w@l # u@l # h@l +...
    CHIdub@b # <h@l # h@l # h@l # h@l> [/] # h@l .
    CHIwhere the h@l ?
  5. eng_USA_Brown/sarah071.cha, line 669 · Sarah, 3;7.30
    MOTI know you've got an r@l .
    MOTthe green one right down there by your arm ?
    MOT*MOT: oh # what's this ?
    MOThere it is .
    MOTnow look for the a@l # Sarah .

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_Brown4.55
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah071.chaSarah 3;7.301,099554.55

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. what's5 · 100.0%