PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

9.48 per 1,000 words of the child (CHI), in 1 of 1 transcripts (231 utterances, 949 words searched).

  1. b@l ? CHI · eng_USA_Brown/sarah131.cha, line 867 · Sarah 4;11
  2. that's how you make a d@l # not a b@l . CHI · eng_USA_Brown/sarah131.cha, line 869 · Sarah 4;11
  3. see # a b@l is like this . CHI · eng_USA_Brown/sarah131.cha, line 874 · Sarah 4;11
  4. uh # two b@l-s . CHI · eng_USA_Brown/sarah131.cha, line 877 · Sarah 4;11
  5. like dat is a b@l . CHI · eng_USA_Brown/sarah131.cha, line 880 · Sarah 4;11
  6. is dat a good b@l ? CHI · eng_USA_Brown/sarah131.cha, line 885 · Sarah 4;11
  7. no # I said to nockwong@b . CHI · eng_USA_Brown/sarah131.cha, line 976 · Sarah 4;11
  8. to nockwond@b . CHI · eng_USA_Brown/sarah131.cha, line 981 · Sarah 4;11
  9. no # to nakand@b . CHI · eng_USA_Brown/sarah131.cha, line 985 · Sarah 4;11
  1. eng_USA_Brown/sarah131.cha, line 867 · Sarah, 4;11.13
    CHImake # this how you make a d@l # huh ?
    MOTit's a b@l # yeah .
    CHI*CHI: b@l ?
    CHIthat's how you make a d@l # not a b@l .
    MOToh .
  2. eng_USA_Brown/sarah131.cha, line 869 · Sarah, 4;11.13
    MOTit's a b@l # yeah .
    CHIb@l ?
    CHI*CHI: that's how you make a d@l # not a b@l .
    MOToh .
    CHIsee # a b@l is like this .
  3. eng_USA_Brown/sarah131.cha, line 874 · Sarah, 4;11.13
    CHIthat's how you make a d@l # not a b@l .
    MOToh .
    CHI*CHI: see # a b@l is like this .
    CHIuh # two b@l-s .
    CHIlike dat is a b@l .
  4. eng_USA_Brown/sarah131.cha, line 877 · Sarah, 4;11.13
    MOToh .
    CHIsee # a b@l is like this .
    CHI*CHI: uh # two b@l-s .
    CHIlike dat is a b@l .
    MOTb@l .
  5. eng_USA_Brown/sarah131.cha, line 880 · Sarah, 4;11.13
    CHIsee # a b@l is like this .
    CHIuh # two b@l-s .
    CHI*CHI: like dat is a b@l .
    MOTb@l .
    CHIis dat a good b@l ?
  6. eng_USA_Brown/sarah131.cha, line 885 · Sarah, 4;11.13
    CHIlike dat is a b@l .
    MOTb@l .
    CHI*CHI: is dat a good b@l ?
    MOTyeah # that's a good b@l .
    MOTwhat's that ?
  7. eng_USA_Brown/sarah131.cha, line 976 · Sarah, 4;11.13
    CHIto Cambridge .
    MELCambridge ?
    CHI*CHI: no # I said to nockwong@b .
    MELto where ?
    CHIto nockwond@b .
  8. eng_USA_Brown/sarah131.cha, line 981 · Sarah, 4;11.13
    CHIno # I said to nockwong@b .
    MELto where ?
    CHI*CHI: to nockwond@b .
    MELto nockwon@b ?
    CHIno # to nakand@b .
  9. eng_USA_Brown/sarah131.cha, line 985 · Sarah, 4;11.13
    CHIto nockwond@b .
    MELto nockwon@b ?
    CHI*CHI: no # to nakand@b .
    MOTyou wanna give Melissa her present now ?
    CHIyeah .

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_Brown9.48
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah131.chaSarah 4;11.13949999.48

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. b9 · 100.0%