PHPCLANCHILDES with regular expressions

10 matches in 10 utterances

10.99 per 1,000 words of the child (CHI), in 1 of 1 transcripts (312 utterances, 910 words searched).

  1. um . CHI · eng_USA_Brown/sarah083.cha, line 49 · Sarah 3;10
  2. um # to # yyy . CHI · eng_USA_Brown/sarah083.cha, line 98 · Sarah 3;10
  3. um # no ! CHI · eng_USA_Brown/sarah083.cha, line 189 · Sarah 3;10
  4. um uh . CHI · eng_USA_Brown/sarah083.cha, line 1104 · Sarah 3;10
  5. see my # um . CHI · eng_USA_Brown/sarah083.cha, line 1116 · Sarah 3;10
  6. um # no ! CHI · eng_USA_Brown/sarah083.cha, line 1147 · Sarah 3;10
  7. um nah [?] . CHI · eng_USA_Brown/sarah083.cha, line 1151 · Sarah 3;10
  8. um +... CHI · eng_USA_Brown/sarah083.cha, line 1299 · Sarah 3;10
  9. he had # um # a dead snake # (a)n(d) a +... CHI · eng_USA_Brown/sarah083.cha, line 1404 · Sarah 3;10
  10. um # Sandy . CHI · eng_USA_Brown/sarah083.cha, line 1419 · Sarah 3;10
  1. CHIPinkuh .
    FATwhat ?
    CHI*CHI: um .
    CHI# xxx .
    CHIPenny_Bright .
  2. CHIthat xxx hurt .
    FATnah .
    CHI*CHI: um # to # yyy .
    FATnah .
    FATto Magazine what ?
  3. CHIwhat ya say ?
    FATare you deaf ?
    CHI*CHI: um # no !
    CHIare you # Old_MacDonald ?
    FATno # I'm Donald .
  4. FATwhat chu worried about ?
    MOTxxx .
    CHI*CHI: um uh .
    FATwant a go ?
    CHIno .
  5. CHIxxx .
    CHIsee my xxx .
    CHI*CHI: see my # um .
    MOTwant a go up to Sherrill's ?
    CHI0 .
  6. CHI(be)cause .
    FATyou're tired ?
    CHI*CHI: um # no !
    FATno ?
    CHIum nah [?] .
  7. CHIum # no !
    FATno ?
    CHI*CHI: um nah [?] .
    CHIo@l e@l .
    CHIhe's gonna go in the water .
  8. FATyeah .
    FATwould you like a spankin(g) ?
    CHI*CHI: um +...
    FATI want a give you a spankin(g) .
    CHIno !
  9. MOTand a snake .
    FATwhat else did he have ?
    CHI*CHI: he had # um # a dead snake # (a)n(d) a +...
    FATa what kind of snake ?
    CHIa dead snake .
  10. CHIhe had all the animals .
    FATname some .
    CHI*CHI: um # Sandy .
    CHIhuh ?
    MOTwho ?

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_Brown10.99
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah083.chaSarah 3;10.30910101010.99

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. um10 · 100.0%