PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

5.66 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (385 utterances, 1,236 words searched).

  1. xxx great big ones . MOT · eng_USA_Brown/sarah020.cha, line 152 · Sarah 2;07
  2. big ones . MOT · eng_USA_Brown/sarah020.cha, line 154 · Sarah 2;07
  3. big face # huh . MOT · eng_USA_Brown/sarah020.cha, line 597 · Sarah 2;07
  4. open up your mouth big . MOT · eng_USA_Brown/sarah020.cha, line 1106 · Sarah 2;07
  5. (be)cause it's big . MOT · eng_USA_Brown/sarah020.cha, line 1422 · Sarah 2;07
  6. yeah # it's too big for you # yeah . MOT · eng_USA_Brown/sarah020.cha, line 1426 · Sarah 2;07
  7. because it's too big . MOT · eng_USA_Brown/sarah020.cha, line 1430 · Sarah 2;07
  1. eng_USA_Brown/sarah020.cha, line 152 · Sarah, 2;7.05
    MOTand rock the boat .
    MOTyou rock the boat .
    MOT*MOT: xxx great big ones .
    MOTbig ones .
    MOTway up .
  2. eng_USA_Brown/sarah020.cha, line 154 · Sarah, 2;7.05
    MOTyou rock the boat .
    MOTxxx great big ones .
    MOT*MOT: big ones .
    MOTway up .
    MOTwa:y up # way down and way up .
  3. eng_USA_Brown/sarah020.cha, line 597 · Sarah, 2;7.05
    MOT(a)n(d) over here ?
    CHIxxx here .
    MOT*MOT: big face # huh .
    CHIbig face [?] .
    MOTpoor Buba@f .
  4. eng_USA_Brown/sarah020.cha, line 1106 · Sarah, 2;7.05
    CHIright here .
    MOTwhere ?
    MOT*MOT: open up your mouth big .
    MOTwhy # I think you are getting a new teeth there .
    MOTyeah .
  5. eng_USA_Brown/sarah020.cha, line 1422 · Sarah, 2;7.05
    MOTmmhm .
    CHIwhy ?
    MOT*MOT: (be)cause it's big .
    CHItoo big ?
    MOTyeah # it's too big for you # yeah .
  6. eng_USA_Brown/sarah020.cha, line 1426 · Sarah, 2;7.05
    MOT(be)cause it's big .
    CHItoo big ?
    MOT*MOT: yeah # it's too big for you # yeah .
    CHIwhy ?
    MOTbecause it's too big .
  7. eng_USA_Brown/sarah020.cha, line 1430 · Sarah, 2;7.05
    MOTyeah # it's too big for you # yeah .
    CHIwhy ?
    MOT*MOT: because it's too big .
    MOTyeah .
    CHIxxx who one ?

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_Brown5.66
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah020.chaSarah 2;7.051,236775.66

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. big7 · 100.0%