PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

3.02 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (320 utterances, 1,325 words searched).

  1. hmm ? MOT · eng_USA_Brown/sarah049.cha, line 309 · Sarah 3;02
  2. hmm ? MOT · eng_USA_Brown/sarah049.cha, line 480 · Sarah 3;02
  3. hmm ? GLO · eng_USA_Brown/sarah049.cha, line 557 · Sarah 3;02
  4. hmm # it better ? MOT · eng_USA_Brown/sarah049.cha, line 1376 · Sarah 3;02
  1. eng_USA_Brown/sarah049.cha, line 309 · Sarah, 3;2.16
    CHIcups and cream .
    CHIgot (t)a +...
    MOT*MOT: hmm ?
    CHIwho(l)e bunch .
    CHIlet me see .
  2. eng_USA_Brown/sarah049.cha, line 480 · Sarah, 3;2.16
    MOTyeah # and then what happened ?
    CHIxxx .
    MOT*MOT: hmm ?
    CHIxxx a(ll) yyy .
    MOTyou what ?
  3. eng_USA_Brown/sarah049.cha, line 557 · Sarah, 3;2.16
    CHII know he si(t) ri(ght) here .
    MOT0 .
    GLO*GLO: hmm ?
    CHIlook .
    MOTwhat're you doin(g) ?
  4. eng_USA_Brown/sarah049.cha, line 1376 · Sarah, 3;2.16
    MOTwhere's your head ?
    MOTlet me see your head today .
    MOT*MOT: hmm # it better ?
    CHIyes .
    MOTyeah # it's a little better .

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_Brown3.02
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah049.chaSarah 3;2.161,325443.02

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. hmm4 · 100.0%