PHPCLANCHILDES with regular expressions

7 matches in 5 utterances

6.64 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (272 utterances, 1,055 words searched).

  1. what's the kitty's name # Sarah ? MOT · eng_USA_Brown/sarah008.cha, line 1129 · Sarah 2;04
  2. yeah # I know the kitty's gone # but what's the teddy+bear's name ? MOT · eng_USA_Brown/sarah008.cha, line 1137 · Sarah 2;04
  3. yeah # and <what's the> [/] # what's the name of the baby Santa_Claus is going to bring … MOT · eng_USA_Brown/sarah008.cha, line 1189 · Sarah 2;04
  4. yeah # and <what's the> [/] # what's the name of the baby Santa_Claus is going to bring ? MOT · eng_USA_Brown/sarah008.cha, line 1189 · Sarah 2;04
  5. Chatty_baby # and what's the other one ? MOT · eng_USA_Brown/sarah008.cha, line 1196 · Sarah 2;04
  6. but <what's> [/] # what's the other baby's name ? MOT · eng_USA_Brown/sarah008.cha, line 1207 · Sarah 2;04
  7. but <what's> [/] # what's the other baby's name ? MOT · eng_USA_Brown/sarah008.cha, line 1207 · Sarah 2;04
  1. CHII two Bobo .
    CHIxxx .
    MOT*MOT: what's the kitty's name # Sarah ?
    CHIno [?] .
    CHIxxx ki(tt)y gone .
  2. CHIno [?] .
    CHIxxx ki(tt)y gone .
    MOT*MOT: yeah # I know the kitty's gone # but what's the teddy+bear's name ?
    CHIxxx .
    MOTxxx Andy !
  3. MOThey # xxx the professor what Santa_Claus is going to bring you ?
    CHIxxx Santa_Claus .
    MOT*MOT: yeah # and <what's the> [/] # what's the name of the baby Santa_Claus is going to bring ?
    CHIyyy .
    MOTChatty_baby # and what's the other one ?
  4. MOTyeah # and <what's the> [/] # what's the name of the baby Santa_Claus is going to bring ?
    CHIyyy .
    MOT*MOT: Chatty_baby # and what's the other one ?
    CHIxxx .
    MOThuh ?
  5. CHIxxx .
    MOTyeah # the brother .
    MOT*MOT: but <what's> [/] # what's the other baby's name ?
    CHIxxx .
    MOTTick(le) +...

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_Brown6.64
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah008.chaSarah 2;4.121,055576.64

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's7 · 100.0%