PHPCLANCHILDES with regular expressions

8 matches in 7 utterances

10.10 per 1,000 words of the child (CHI), in 1 of 1 transcripts (273 utterances, 792 words searched).

  1. no # that's a one . CHI · eng_USA_Brown/sarah105.cha, line 791 · Sarah 4;04
  2. that's a one . CHI · eng_USA_Brown/sarah105.cha, line 831 · Sarah 4;04
  3. dis one . CHI · eng_USA_Brown/sarah105.cha, line 953 · Sarah 4;04
  4. dat how you make one ? CHI · eng_USA_Brown/sarah105.cha, line 970 · Sarah 4;04
  5. now another one . CHI · eng_USA_Brown/sarah105.cha, line 1151 · Sarah 4;04
  6. see # one nose . CHI · eng_USA_Brown/sarah105.cha, line 1327 · Sarah 4;04
  7. hey # one's red # one's black . CHI · eng_USA_Brown/sarah105.cha, line 1375 · Sarah 4;04
  8. hey # one's red # one's black . CHI · eng_USA_Brown/sarah105.cha, line 1375 · Sarah 4;04
  1. CHIyes sir .
    MELis this a seven ?
    CHI*CHI: no # that's a one .
    FAT<well what you wrote is> [//] no # that's not a seven .
    FATthe flag is goin(g) backwards .
  2. MELthat's a drunken seven .
    CHIthat ain't a seven .
    CHI*CHI: that's a one .
    MELmmhm .
    CHII [//] see y(ou) just make a line down # oops .
  3. MELdoubles .
    CHIwhat is this like ?
    CHI*CHI: dis one .
    CHIhey wise guy .
    GAIwhat ?
  4. CHIcan write it like this my own hand too .
    CHIlike this .
    CHI*CHI: dat how you make one ?
    FATmake what ?
    CHIthree .
  5. GAIshow me where .
    CHIput dat +...
    CHI*CHI: now another one .
    CHIthere .
    GAIanything else ?
  6. GAIwhat ?
    CHIyou did the eyes # and she did the nose .
    CHI*CHI: see # one nose .
    MOTwhat's that ?
    MOTthat can't be rosy cheeks .
  7. MOToh you won't be here next week # will you Don ?
    FATxxx .
    CHI*CHI: hey # one's red # one's black .
    CHII color a different color .
    CHIoh # no .

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_Brown10.10
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah105.chaSarah 4;4.187927810.10

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. one8 · 100.0%