PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

4.36 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (335 utterances, 1,375 words searched).

  1. what has Bugs done this week ? KEN · eng_USA_Brown/sarah051.cha, line 68 · Sarah 3;03
  2. has Bugs been a good boy ? MOT · eng_USA_Brown/sarah051.cha, line 70 · Sarah 3;03
  3. oh # how_come it has chocolate in it then ? KEN · eng_USA_Brown/sarah051.cha, line 391 · Sarah 3;03
  4. Auntie Marion has a kitty like that . MOT · eng_USA_Brown/sarah051.cha, line 952 · Sarah 3;03
  5. the Siamese kitty Auntie Marion has . MOT · eng_USA_Brown/sarah051.cha, line 957 · Sarah 3;03
  6. I know she has a dog . MOT · eng_USA_Brown/sarah051.cha, line 970 · Sarah 3;03
  1. eng_USA_Brown/sarah051.cha, line 68 · Sarah, 3;3.07
    MOTKelloggs .
    MOTwhat's the matter ?
    KEN*KEN: what has Bugs done this week ?
    MOThas Bugs been a good boy ?
    CHIyep # he's on tv .
  2. eng_USA_Brown/sarah051.cha, line 70 · Sarah, 3;3.07
    MOTwhat's the matter ?
    KENwhat has Bugs done this week ?
    MOT*MOT: has Bugs been a good boy ?
    CHIyep # he's on tv .
    MOTyeah # he was on tv .
  3. eng_USA_Brown/sarah051.cha, line 391 · Sarah, 3;3.07
    KENwhat kind of ice+cream is that ?
    CHIum # vanilla .
    KEN*KEN: oh # how_come it has chocolate in it then ?
    CHI0 .
    MOToh +/.
  4. eng_USA_Brown/sarah051.cha, line 952 · Sarah, 3;3.07
    CHIhe's mine .
    CHII wan(t) dat cat .
    MOT*MOT: Auntie Marion has a kitty like that .
    MOTwhat's the kitty's name ?
    MOTthe Siamese kitty Auntie Marion has .
  5. eng_USA_Brown/sarah051.cha, line 957 · Sarah, 3;3.07
    MOTAuntie Marion has a kitty like that .
    MOTwhat's the kitty's name ?
    MOT*MOT: the Siamese kitty Auntie Marion has .
    CHIwhat ?
    CHIhim .
  6. eng_USA_Brown/sarah051.cha, line 970 · Sarah, 3;3.07
    MOTAuntie Marion .
    CHIshe ha(s) dogs .
    MOT*MOT: I know she has a dog .
    MOT<what's> [/] what's the kitty and the dog's name ?
    CHImy Aunt yyy ?

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_Brown4.36
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah051.chaSarah 3;3.071,375664.36

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. has6 · 100.0%