PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

7.90 per 1,000 words of the child (CHI), in 1 of 1 transcripts (374 utterances, 886 words searched).

  1. o@l # c@l . [+ bch] CHI · eng_USA_Brown/sarah062.cha, line 536 · Sarah 3;05
  2. d@l # o@l # g@l +... [+ bch] CHI · eng_USA_Brown/sarah062.cha, line 548 · Sarah 3;05
  3. um # o:h . CHI · eng_USA_Brown/sarah062.cha, line 588 · Sarah 3;05
  4. o:h . CHI · eng_USA_Brown/sarah062.cha, line 1237 · Sarah 3;05
  5. o:h # there . CHI · eng_USA_Brown/sarah062.cha, line 1270 · Sarah 3;05
  6. o:h # look it # an eye . CHI · eng_USA_Brown/sarah062.cha, line 1517 · Sarah 3;05
  7. an i@l # n@l # o@l . CHI · eng_USA_Brown/sarah062.cha, line 1992 · Sarah 3;05
  1. eng_USA_Brown/sarah062.cha, line 536 · Sarah, 3;5.13
    CHId@l .
    MOTd@l .
    CHI*CHI: o@l # c@l . [+ bch]
    MOTg@l .
    CHIg@l .
  2. eng_USA_Brown/sarah062.cha, line 548 · Sarah, 3;5.13
    CHIg@l .
    MOTd@l +...
    CHI*CHI: d@l # o@l # g@l +... [+ bch]
    MOTyeah .
    MOTwhat does it say ?
  3. eng_USA_Brown/sarah062.cha, line 588 · Sarah, 3;5.13
    MOToh # <I was lookin(g)> [//] that's what I was lookin(g) for .
    MOTwhat's that ?
    CHI*CHI: um # o:h .
    CHII can't know it .
    MOTyes ya can know it .
  4. eng_USA_Brown/sarah062.cha, line 1237 · Sarah, 3;5.13
    MOTremember # I draw him yesterday ?
    MOTI should've taken (th)em downtown .
    CHI*CHI: o:h .
    MOTxxx .
    MOTyou know that ?
  5. eng_USA_Brown/sarah062.cha, line 1270 · Sarah, 3;5.13
    CHIoh # a head .
    MOThalf the people can't even draw a cat .
    CHI*CHI: o:h # there .
    FATdo you know who this is ?
    MOTI hope ya label this .
  6. eng_USA_Brown/sarah062.cha, line 1517 · Sarah, 3;5.13
    MOTyeah # I think .
    MOTshe's been hit in the eye .
    CHI*CHI: o:h # look it # an eye .
    FATyeah # what's this ?
    FAThmm ?
  7. eng_USA_Brown/sarah062.cha, line 1992 · Sarah, 3;5.13
    CHIa little pinga@c [/] pinga@c .
    MOTwhat's a pinga@c pinga@c ?
    CHI*CHI: an i@l # n@l # o@l .
    CHIno # pinga@c that way .
    FATwhat is it ?

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_Brown7.90
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah062.chaSarah 3;5.13886777.90

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. o7 · 100.0%