PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

5.50 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (621 utterances, 1,273 words searched).

  1. hi # Sarah # my name is Gloria . GLO · eng_USA_Brown/sarah002.cha, line 64
  2. my little kitty . SAR · eng_USA_Brown/sarah002.cha, line 341
  3. another Bobo@f # my . MOT · eng_USA_Brown/sarah002.cha, line 449
  4. my hand . SAR · eng_USA_Brown/sarah002.cha, line 891
  5. my Nana . SAR · eng_USA_Brown/sarah002.cha, line 1120
  6. xx my . SAR · eng_USA_Brown/sarah002.cha, line 1289
  7. I wanna ride my horse . SAR · eng_USA_Brown/sarah002.cha, line 1374
  1. SARhi there .
    SARxx .
    GLO*GLO: hi # Sarah # my name is Gloria .
    GLOcan you say Gloria ?
    SARGlori(a) +...
  2. SARa kitty .
    MOTkitty .
    SAR*SAR: my little kitty .
    MOTyour little kitty .
    MOT<where's your> [//] where's the kitty ?
  3. MOTwho's that ?
    SARa Bobo@f .
    MOT*MOT: another Bobo@f # my .
    MOTwhat's that ?
    SAR0 [=! noise, as of affirmation] .
  4. SARxx .
    MOTwhat's that ?
    SAR*SAR: my hand .
    MOTyour hand # uhhuh .
    SARxx horsie .
  5. SARsee that .
    MOTthat's who ?
    SAR*SAR: my Nana .
    MOTthat's your Nana # yeah .
    SARsee that .
  6. SARhi .
    SARhah .
    SAR*SAR: xx my .
    MOThuh ?
    SARMommy .
  7. SARI wanna ride .
    SARxx .
    SAR*SAR: I wanna ride my horse .
    SARbaby .

Matches by child

Matches per 1,000 words, all transcripts of each child together, highest first.

  1. Sarah eng_USA_Brown5.50
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah002.chaSarah 1,273775.50

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. my7 · 100.0%