PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

6.31 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (272 utterances, 1,110 words searched).

  1. no # here # this one . MEL · eng_USA_Brown/sarah111.cha, line 40 · Sarah 4;05
  2. here # put your shoe on . MOT · eng_USA_Brown/sarah111.cha, line 299 · Sarah 4;05
  3. oh # here it is . MOT · eng_USA_Brown/sarah111.cha, line 340 · Sarah 4;05
  4. it's over here # isn't it ? MOT · eng_USA_Brown/sarah111.cha, line 393 · Sarah 4;05
  5. here it is . MOT · eng_USA_Brown/sarah111.cha, line 395 · Sarah 4;05
  6. doesn't that look like a [/] # this four here ? MEL · eng_USA_Brown/sarah111.cha, line 785 · Sarah 4;05
  7. oh # here's the green one # honey . MOT · eng_USA_Brown/sarah111.cha, line 792 · Sarah 4;05
  1. MELtry going through this way .
    CHIthis one ?
    MEL*MEL: no # here # this one .
    MELpull this through now .
    MELyeah .
  2. CHII saw her girdle .
    CHIsaw Mommy's girdle [?] .
    MOT*MOT: here # put your shoe on .
    MOTmake yourself useful .
    MOTyou got your pants on backward .
  3. MOTc(o)me (h)ere .
    MOTwhere's your other shoe ?
    MOT*MOT: oh # here it is .
    MOTSa(rah) +/.
    CHIyou can't get me .
  4. CHI<show her my new> [/] # show her my new +...
    CHII know +...
    MOT*MOT: it's over here # isn't it ?
    MOThere it is .
    CHIno # this one y(ou) mean .
  5. CHII know +...
    MOTit's over here # isn't it ?
    MOT*MOT: here it is .
    CHIno # this one y(ou) mean .
    CHIthis one y(ou) mean .
  6. MOToh # I think that's a four # don't you ?
    MOTdoesn't that look like a +...
    MEL*MEL: doesn't that look like a [/] # this four here ?
    CHIyeah # it's a four .
    CHIwhat four means ?
  7. CHIyeah # it's a four .
    CHIwhat four means ?
    MOT*MOT: oh # here's the green one # honey .
    CHIthank+you .
    CHIwhere's the blue one ?

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_Brown6.31
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah111.chaSarah 4;5.291,110776.31

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. here7 · 100.0%