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. see the hat ? MOT · eng_USA_Brown/sarah008.cha, line 218 · Sarah 2;04
  2. we'll go over Nana's and see the kitty . MOT · eng_USA_Brown/sarah008.cha, line 1102 · Sarah 2;04
  3. gonna go see Santa_Claus Saturday ? MOT · eng_USA_Brown/sarah008.cha, line 1220 · Sarah 2;04
  4. going to see Santa_Claus # hmm ? MOT · eng_USA_Brown/sarah008.cha, line 1226 · Sarah 2;04
  1. eng_USA_Brown/sarah008.cha, line 218 · Sarah, 2;4.12
    CHIhead xxx .
    MOTyeah # he's got a head # and he's got a hat on his head .
    MOT*MOT: see the hat ?
    CHIa hat .
    CHItwo hat .
  2. eng_USA_Brown/sarah008.cha, line 1102 · Sarah, 2;4.12
    MOToh yeah .
    MOTyeah # later on this # later this afternoon we'll go out the door # ok ?
    MOT*MOT: we'll go over Nana's and see the kitty .
    CHIxxx now .
    CHIxxx .
  3. eng_USA_Brown/sarah008.cha, line 1220 · Sarah, 2;4.12
    MOTTickle .
    CHI0 .
    MOT*MOT: gonna go see Santa_Claus Saturday ?
    MOTwith Eva ?
    CHI0 .
  4. eng_USA_Brown/sarah008.cha, line 1226 · Sarah, 2;4.12
    MOTwith Eva ?
    CHI0 .
    MOT*MOT: going to see Santa_Claus # hmm ?
    MOTxxx with Eva !
    CHIxxx .

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. see4 · 100.0%