PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

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

  1. give Mr Ears lovins@f . MOT · eng_USA_Brown/sarah020.cha, line 442 · Sarah 2;07
  2. give Mr Ears a kiss . MOT · eng_USA_Brown/sarah020.cha, line 475 · Sarah 2;07
  3. give the other one too . JOA · eng_USA_Brown/sarah020.cha, line 678 · Sarah 2;07
  4. give the other one to Mummy . JOA · eng_USA_Brown/sarah020.cha, line 680 · Sarah 2;07
  5. we'll have to give him a bath later . MOT · eng_USA_Brown/sarah020.cha, line 1235 · Sarah 2;07
  1. MOTpoor Mr Ears .
    MOTpoor Mr Ears .
    MOT*MOT: give Mr Ears lovins@f .
    CHI0 .
    MOToh # don't you love Mr Ears ?
  2. MOTaw .
    MOTpoor Mr Ears .
    MOT*MOT: give Mr Ears a kiss .
    MOTdo you love Mr Ears ?
    CHImy xxx you .
  3. MOThuh ?
    MOTwhat did you do # have my boots on ?
    JOA*JOA: give the other one too .
    JOAgive the other one to Mummy .
    JOAsay # +"/.
  4. MOTwhat did you do # have my boots on ?
    JOAgive the other one too .
    JOA*JOA: give the other one to Mummy .
    JOAsay # +"/.
    JOA+" here # Mummy .
  5. MOTyeah # he's all dirty .
    MOThuh .
    MOT*MOT: we'll have to give him a bath later .
    CHIhi Mommy .
    CHII fall down .

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_Brown4.05
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah020.chaSarah 2;7.051,236554.05

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. give5 · 100.0%