PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

3.48 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (258 utterances, 1,148 words searched).

  1. Sarah # here # put this in your bank . MOT · eng_USA_Brown/sarah137.cha, line 976 · Sarah 5;00
  2. your new bank . MOT · eng_USA_Brown/sarah137.cha, line 982 · Sarah 5;00
  3. put it in your new bank . MOT · eng_USA_Brown/sarah137.cha, line 986 · Sarah 5;00
  4. seventy dollars she had in that bank . MOT · eng_USA_Brown/sarah137.cha, line 1011 · Sarah 5;00
  1. eng_USA_Brown/sarah137.cha, line 976 · Sarah, 5;0.25
    MOTis that all the change I have ?
    MOTcome here .
    MOT*MOT: Sarah # here # put this in your bank .
    CHIwho gave it to me ?
    MOTyour new bank .
  2. eng_USA_Brown/sarah137.cha, line 982 · Sarah, 5;0.25
    MOTSarah # here # put this in your bank .
    CHIwho gave it to me ?
    MOT*MOT: your new bank .
    CHIhuh ?
    MOTput it in your new bank .
  3. eng_USA_Brown/sarah137.cha, line 986 · Sarah, 5;0.25
    MOTyour new bank .
    CHIhuh ?
    MOT*MOT: put it in your new bank .
    CHIhey # who brought this home ?
    MOTNana brought it up .
  4. eng_USA_Brown/sarah137.cha, line 1011 · Sarah, 5;0.25
    MOT<she had> [/] she had seventy dollars in it .
    GAIwhat ?
    MOT*MOT: seventy dollars she had in that bank .
    CHIxxx like that .
    CHI<le(t) me see> [/] le(t) me see .

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_Brown3.48
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah137.chaSarah 5;0.251,148443.48

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. bank4 · 100.0%