PHPCLANCHILDES with regular expressions

4 matches in 3 utterances

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

  1. Tony [/] # Tony don't have any fingers . MOT · eng_USA_Brown/sarah020.cha, line 1027 · Sarah 2;07
  2. Tony [/] # Tony don't have any fingers . MOT · eng_USA_Brown/sarah020.cha, line 1027 · Sarah 2;07
  3. how many eyes has Tony got ? JOA · eng_USA_Brown/sarah020.cha, line 1045 · Sarah 2;07
  4. yeah # has Tony got a nose ? JOA · eng_USA_Brown/sarah020.cha, line 1056 · Sarah 2;07
  1. eng_USA_Brown/sarah020.cha, line 1027 · Sarah, 2;7.05
    MOTyour fingers are right here .
    CHITony_Pony fingers .
    MOT*MOT: Tony [/] # Tony don't have any fingers .
    CHIwhy ?
    MOT(be)cause he's only a horse .
  2. eng_USA_Brown/sarah020.cha, line 1045 · Sarah, 2;7.05
    CHIxxx eye eye he .
    CHIright here .
    JOA*JOA: how many eyes has Tony got ?
    CHIwhat eyes ?
    JOAone # two .
  3. eng_USA_Brown/sarah020.cha, line 1056 · Sarah, 2;7.05
    JOAtwo eyes .
    CHItwo eyes .
    JOA*JOA: yeah # has Tony got a nose ?
    CHIxxx nose .
    CHIxxx two nose .

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_Brown3.24
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah020.chaSarah 2;7.051,236343.24

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. tony4 · 100.0%