PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

7.21 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (432 utterances, 1,248 words searched).

  1. little doggie . MOT · eng_USA_Brown/sarah003.cha, line 681 · Sarah 2;03
  2. where's the little doggie ? MOT · eng_USA_Brown/sarah003.cha, line 691 · Sarah 2;03
  3. where's the little doggie ? MOT · eng_USA_Brown/sarah003.cha, line 693 · Sarah 2;03
  4. here's the little doggie . MOT · eng_USA_Brown/sarah003.cha, line 705 · Sarah 2;03
  5. he got little eyes . GLO · eng_USA_Brown/sarah003.cha, line 1139 · Sarah 2;03
  6. that's his little tail . GLO · eng_USA_Brown/sarah003.cha, line 1153 · Sarah 2;03
  7. <what's> [/] what's this little thing ? GLO · eng_USA_Brown/sarah003.cha, line 1243 · Sarah 2;03
  8. where's the little dog ? MOT · eng_USA_Brown/sarah003.cha, line 1401 · Sarah 2;03
  9. where's the little dog ? MOT · eng_USA_Brown/sarah003.cha, line 1405 · Sarah 2;03
  1. MOTwhat's this ?
    CHIdoggie ?
    MOT*MOT: little doggie .
    CHIlittle doggie ?
    MOTand this a big doggie .
  2. CHIbig doggie ?
    MOTmmhm .
    MOT*MOT: where's the little doggie ?
    MOTwhere's the little doggie ?
    CHI0 .
  3. MOTmmhm .
    MOTwhere's the little doggie ?
    MOT*MOT: where's the little doggie ?
    CHI0 .
    MOTis he there ?
  4. FAT0 .
    MOTno .
    MOT*MOT: here's the little doggie .
    CHIlittle doggie ?
    MOTand the big doggie .
  5. CHIeye .
    GLOthat's his eye .
    GLO*GLO: he got little eyes .
    CHIxxx .
    GLOxxx see his ear .
  6. CHIxxx big ear ?
    CHItoo [/] too [?] .
    GLO*GLO: that's his little tail .
    GLOwhere's his nose ?
    CHInose dere .
  7. GLOlions are bad .
    CHIxxx .
    GLO*GLO: <what's> [/] what's this little thing ?
    CHIxxx .
    GLOa frog .
  8. MOThe's on the floor .
    CHIBug # floor .
    MOT*MOT: where's the little dog ?
    CHIxxx .
    MOTwhere's the little dog ?
  9. MOTwhere's the little dog ?
    CHIxxx .
    MOT*MOT: where's the little dog ?
    MOTno # over here .
    CHIxxx here .

Matches by age

One dot per transcript: matches per 1,000 words of everyone but 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_Brown7.21
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah003.chaSarah 2;3.191,248997.21

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. little9 · 100.0%