PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

2.97 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (533 utterances, 2,018 words searched).

  1. yes # I think baby Sarah's diaper [//] put a dry diaper on baby Sarah's bottom . MOT · eng_USA_Brown/eve06.cha, line 536 · Eve 1;09
  2. no # I don't think so . MOT · eng_USA_Brown/eve06.cha, line 1906 · Eve 1;09
  3. no I don't think we can fix that paper . MOT · eng_USA_Brown/eve06.cha, line 2512 · Eve 1;09
  4. no # I don't think it would be a good idea to write on your shoe . COL · eng_USA_Brown/eve06.cha, line 2561 · Eve 1;09
  5. no # I don't think Fraser wants a piece of celery . MOT · eng_USA_Brown/eve06.cha, line 3486 · Eve 1;09
  6. Papa came back # I think . FAT · eng_USA_Brown/eve06.cha, line 3624 · Eve 1;09
  1. eng_USA_Brown/eve06.cha, line 536 · Eve, 1;9.
    FATwho's crying ?
    CHIbaby Sarah .
    MOT*MOT: yes # I think baby Sarah's diaper [//] put a dry diaper on baby Sarah's bottom .
    CHIMommy ?
    MOTuhhuh .
  2. eng_USA_Brown/eve06.cha, line 1906 · Eve, 1;9.
    COLis that a purple one ?
    CHIyeah .
    MOT*MOT: no # I don't think so .
    CHIit drop .
    CHIim@c dat ?
  3. eng_USA_Brown/eve06.cha, line 2512 · Eve, 1;9.
    MOTwill I fix the paper ?
    MOTwell # let me see .
    MOT*MOT: no I don't think we can fix that paper .
    CHIit broken .
    MOTit's broken # yes .
  4. eng_USA_Brown/eve06.cha, line 2561 · Eve, 1;9.
    COLyeah .
    CHIhi xxx write shoe .
    COL*COL: no # I don't think it would be a good idea to write on your shoe .
    COLwrite on the paper .
    CHII [?] write [//] Eve write paper .
  5. eng_USA_Brown/eve06.cha, line 3486 · Eve, 1;9.
    MOTm:hm .
    CHIa piece of celery Fraser piece o(f) celery .
    MOT*MOT: no # I don't think Fraser wants a piece of celery .
    MOTwe'll just give Eve a piece of celery .
    MOTalright ?
  6. eng_USA_Brown/eve06.cha, line 3624 · Eve, 1;9.
    CHIPapa came back .
    MOTwhat was that she said ?
    FAT*FAT: Papa came back # I think .
    CHIPapa came back .
    MOTwhat's that mess ?

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_Brown2.97
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/eve06.chaEve 1;9.2,018662.97

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. think6 · 100.0%