PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

2.33 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (932 utterances, 3,866 words searched).

  1. in Ohio # uhhuh . MOT · eng_USA_Brown/eve15.cha, line 1838 · Eve 2;01
  2. where's Ohio # Eve ? COL · eng_USA_Brown/eve15.cha, line 1844 · Eve 2;01
  3. where's Ohio ? COL · eng_USA_Brown/eve15.cha, line 1852 · Eve 2;01
  4. where is Ohio ? FAT · eng_USA_Brown/eve15.cha, line 1876 · Eve 2;01
  5. where's Ohio ? MOT · eng_USA_Brown/eve15.cha, line 1879 · Eve 2;01
  6. where is Ohio ? MOT · eng_USA_Brown/eve15.cha, line 2021 · Eve 2;01
  7. where is Ohio ? MOT · eng_USA_Brown/eve15.cha, line 2024 · Eve 2;01
  8. I don't know where Ohio is . MOT · eng_USA_Brown/eve15.cha, line 2044 · Eve 2;01
  9. Ohio is far away . MOT · eng_USA_Brown/eve15.cha, line 2047 · Eve 2;01
  1. MOTthey're at their home .
    CHIthey're at Ohio .
    MOT*MOT: in Ohio # uhhuh .
    MOTthat's right .
    COLwhere's Ohio # Eve ?
  2. MOTin Ohio # uhhuh .
    MOTthat's right .
    COL*COL: where's Ohio # Eve ?
    CHIhmm ?
    COLwhere's Ohio ?
  3. COLwhere's Ohio # Eve ?
    CHIhmm ?
    COL*COL: where's Ohio ?
    CHIwhat that ?
    MOTwhat is that ?
  4. MOTm:hm .
    CHIoutside .
    FAT*FAT: where is Ohio ?
    MOTwhere's Ohio ?
    CHIin the airport .
  5. CHIoutside .
    FATwhere is Ohio ?
    MOT*MOT: where's Ohio ?
    CHIin the airport .
    MOTin the airport ?
  6. CHIin the house .
    CHIwhere is Ohio ?
    MOT*MOT: where is Ohio ?
    MOTwhere is Ohio ?
    CHIin the airport .
  7. CHIwhere is Ohio ?
    MOTwhere is Ohio ?
    MOT*MOT: where is Ohio ?
    CHIin the airport .
    MOTno it's not at the airport .
  8. MOThmm ?
    CHIwhere Ohio ?
    MOT*MOT: I don't know where Ohio is .
    MOTOhio is far away .
    MOTit's far away .
  9. CHIwhere Ohio ?
    MOTI don't know where Ohio is .
    MOT*MOT: Ohio is far away .
    MOTit's far away .
    CHIan(d) we can't see it .

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. Eve eng_USA_Brown2.33
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/eve15.chaEve 2;1.3,866992.33

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. ohio9 · 100.0%