PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

3.28 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (370 utterances, 1,524 words searched).

  1. Loop_loops . GLO · eng_USA_Brown/sarah047.cha, line 270 · Sarah 3;02
  2. +" Loop_loops . GLO · eng_USA_Brown/sarah047.cha, line 275 · Sarah 3;02
  3. don't you know Loop_loops ? GLO · eng_USA_Brown/sarah047.cha, line 278 · Sarah 3;02
  4. these mothers who don't know Loop_loops . GLO · eng_USA_Brown/sarah047.cha, line 286 · Sarah 3;02
  5. Sarah # did you finish your Loop_loops this morning ? GLO · eng_USA_Brown/sarah047.cha, line 296 · Sarah 3;02
  1. CHIoh # Loop_loo(p)s .
    GLOxxx .
    GLO*GLO: Loop_loops .
    GLO+" oh .
    GLO+" Loop_loops .
  2. GLOLoop_loops .
    GLO+" oh .
    GLO*GLO: +" Loop_loops .
    GLOdon't you know Loop_loops ?
    GLOI don't know .
  3. GLO+" oh .
    GLO+" Loop_loops .
    GLO*GLO: don't you know Loop_loops ?
    GLOI don't know .
    CHImatches .
  4. GLOI don't know .
    CHImatches .
    GLO*GLO: these mothers who don't know Loop_loops .
    CHIyellowettes@c [?] .
    GLO+" did you fin(ish) +/.
  5. GLO+" did you fin(ish) +/.
    CHImatches .
    GLO*GLO: Sarah # did you finish your Loop_loops this morning ?
    GLOall wiped up .
    GLOwhat else did you have ?

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_Brown3.28
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah047.chaSarah 3;2.021,524553.28

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. loop_loops5 · 100.0%