PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

3.15 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (423 utterances, 1,587 words searched).

  1. we're going to have to buy glasses . MOT · eng_USA_Brown/sarah075.cha, line 334 · Sarah 3;08
  2. tell Kent we went out to a restaurant yesterday (a)n(d) had dinner ? MOT · eng_USA_Brown/sarah075.cha, line 379 · Sarah 3;08
  3. we got the same mailman . FAT · eng_USA_Brown/sarah075.cha, line 1339 · Sarah 3;08
  4. we have the same mailman . FAT · eng_USA_Brown/sarah075.cha, line 1343 · Sarah 3;08
  5. tell Kent about the big restaurant we went to . MOT · eng_USA_Brown/sarah075.cha, line 1523 · Sarah 3;08
  1. eng_USA_Brown/sarah075.cha, line 334 · Sarah, 3;8.27
    FATyour Grandaddy gave ya that .
    MOThey # ya know what ?
    MOT*MOT: we're going to have to buy glasses .
    MOThere .
    FATI started to get some cold cuts xxx .
  2. eng_USA_Brown/sarah075.cha, line 379 · Sarah, 3;8.27
    MOTxxx .
    CHII'm a little bit sticky .
    MOT*MOT: tell Kent we went out to a restaurant yesterday (a)n(d) had dinner ?
    CHIum # yeah .
    MOThmm ?
  3. eng_USA_Brown/sarah075.cha, line 1339 · Sarah, 3;8.27
    CHIover Donna's house .
    FATthere's a mailman there ?
    FAT*FAT: we got the same mailman .
    CHIhuh ?
    FATwe have the same mailman .
  4. eng_USA_Brown/sarah075.cha, line 1343 · Sarah, 3;8.27
    FATwe got the same mailman .
    CHIhuh ?
    FAT*FAT: we have the same mailman .
    CHII know it .
    CHIhey # look it .
  5. eng_USA_Brown/sarah075.cha, line 1523 · Sarah, 3;8.27
    FATyou # you can put it on in a minute .
    MOTyou put it on in a few minutes .
    MOT*MOT: tell Kent about the big restaurant we went to .
    FAToh no .
    CHIxxx .

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_Brown3.15
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah075.chaSarah 3;8.271,587553.15

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. we5 · 100.0%