PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

6.77 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (222 utterances, 739 words searched).

  1. see ? MOT · eng_USA_Brown/sarah040.cha, line 166 · Sarah 3;00
  2. le(t) me see that . MOT · eng_USA_Brown/sarah040.cha, line 596 · Sarah 3;00
  3. le(t) me see ? MOT · eng_USA_Brown/sarah040.cha, line 1007 · Sarah 3;00
  4. you'll see her later . MOT · eng_USA_Brown/sarah040.cha, line 1183 · Sarah 3;00
  5. see what down (i)n (th)ere ? MOT · eng_USA_Brown/sarah040.cha, line 1300 · Sarah 3;00
  1. CHI(be)cause +...
    MOTthat doesn't come off # honey .
    MOT*MOT: see ?
    MOTthat doesn't come off .
    CHIoh # he lose it .
  2. CHIMummy .
    MOTxxx .
    MOT*MOT: le(t) me see that .
    CHIdat's a one .
    CHIdat's a one .
  3. CHII gonna get more water [?] .
    MOThow much you got ?
    MOT*MOT: le(t) me see ?
    MOToh # that's plenty .
    CHIput in here ?
  4. CHISandra ?
    CHII want # go see her .
    MOT*MOT: you'll see her later .
    MOT<get the> [//] # take the towel over there and wipe this .
    MOTgive me the towel and I'll wipe this .
  5. MOThmm ?
    CHIsee down (i)n (th)ere .
    MOT*MOT: see what down (i)n (th)ere ?
    CHIhorsie down (i)n (th)ere .

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_Brown6.77
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah040.chaSarah 3;0.18739556.77

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. see5 · 100.0%