PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

8.62 per 1,000 words of the child (CHI), in 1 of 1 transcripts (248 utterances, 696 words searched).

  1. it was there # right there . CHI · eng_USA_Brown/sarah076.cha, line 36 · Sarah 3;09
  2. hey it's ripped right there . CHI · eng_USA_Brown/sarah076.cha, line 212 · Sarah 3;09
  3. that looks # right here ? CHI · eng_USA_Brown/sarah076.cha, line 812 · Sarah 3;09
  4. right here ? CHI · eng_USA_Brown/sarah076.cha, line 817 · Sarah 3;09
  5. that looks right . CHI · eng_USA_Brown/sarah076.cha, line 836 · Sarah 3;09
  6. right there # <(a)n(d) up (a)n(d) down> [/] # (a)n(d) up (a)n(d) down . CHI · eng_USA_Brown/sarah076.cha, line 983 · Sarah 3;09
  1. eng_USA_Brown/sarah076.cha, line 36 · Sarah, 3;9.03
    CHIwho did it ?
    MOTthe tape recorder .
    CHI*CHI: it was there # right there .
    CHIit will come back .
    MOTcan't tell by me .
  2. eng_USA_Brown/sarah076.cha, line 212 · Sarah, 3;9.03
    KEN0 .
    MOTyou're welcome .
    CHI*CHI: hey it's ripped right there .
    MOTI was hungry .
    CHIgive me a piece of pencil .
  3. eng_USA_Brown/sarah076.cha, line 812 · Sarah, 3;9.03
    MOToh yeah .
    MOTI'm real smart .
    CHI*CHI: that looks # right here ?
    MOTI don't # really don't care where .
    CHIright here ?
  4. eng_USA_Brown/sarah076.cha, line 817 · Sarah, 3;9.03
    CHIthat looks # right here ?
    MOTI don't # really don't care where .
    CHI*CHI: right here ?
    MOTwhere every you want to make it .
    MOTdown # now come back up here .
  5. eng_USA_Brown/sarah076.cha, line 836 · Sarah, 3;9.03
    MOTshow it to Kent .
    MOTthat's pretty good .
    CHI*CHI: that looks right .
    CHInow I make another one +...
    CHII make +...
  6. eng_USA_Brown/sarah076.cha, line 983 · Sarah, 3;9.03
    CHII goin(g) to color this white .
    CHIgoin(g) make a # xxx like that .
    CHI*CHI: right there # <(a)n(d) up (a)n(d) down> [/] # (a)n(d) up (a)n(d) down .
    MOThow do ya make a [//] # an m@l ?
    MOTxxx .

Matches by age

One dot per transcript: matches per 1,000 words of the child (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_Brown8.62
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah076.chaSarah 3;9.03696668.62

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. right6 · 100.0%