PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

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

  1. hey # xxx the professor what Santa_Claus is going to bring you ? MOT · eng_USA_Brown/sarah008.cha, line 1183 · Sarah 2;04
  2. …h # 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
  3. going to see Santa_Claus # hmm ? MOT · eng_USA_Brown/sarah008.cha, line 1226 · Sarah 2;04
  4. you going to tell him you want a horsie . MOT · eng_USA_Brown/sarah008.cha, line 1247 · Sarah 2;04
  1. MOTwho's a fish+head ?
    CHIxxx .
    MOT*MOT: hey # xxx the professor what Santa_Claus is going to bring you ?
    CHIxxx Santa_Claus .
    MOTyeah # and <what's the> [/] # what's the name of the baby Santa_Claus is going to bring ?
  2. 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 ?
  3. MOTwith Eva ?
    CHI0 .
    MOT*MOT: going to see Santa_Claus # hmm ?
    MOTxxx with Eva !
    CHIxxx .
  4. CHIxxx horsie .
    CHIxxx do(ll)y [?] .
    MOT*MOT: you going to tell him you want a horsie .
    MOTand a dollie ?
    MOTI think you've got enough horsies .

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_Brown3.79
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah008.chaSarah 2;4.121,055443.79

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. going4 · 100.0%