PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

7.24 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (329 utterances, 1,243 words searched).

  1. INVam I gonna [: going to] look after dolly ?
    INVshall we sit her # on there ?
    MOT*MOT: hello .
    MOThello .
    MOThello .
  2. INVshall we sit her # on there ?
    MOThello .
    MOT*MOT: hello .
    MOThello .
    MOThello .
  3. MOThello .
    MOThello .
    MOT*MOT: hello .
    MOThello .
    MOThello .
  4. MOThello .
    MOThello .
    MOT*MOT: hello .
    MOThello .
    MOTyou're hiding under that hat .
  5. MOThello .
    MOThello .
    MOT*MOT: hello .
    MOTyou're hiding under that hat .
    MOThello .
  6. MOThello .
    MOTyou're hiding under that hat .
    MOT*MOT: hello .
    CHITom .
    CHITom .
  7. MOTwhat ?
    MOTput the hat on ?
    MOT*MOT: hello .
    MOThello .
    MOToh: .
  8. MOTput the hat on ?
    MOThello .
    MOT*MOT: hello .
    MOToh: .
    CHIstuck .
  9. MOTyeah I'll get you a nana in a minute .
    MOTwww .
    MOT*MOT: hello .
    MOTare you being very big ?
    MOThow big can you be ?

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. Liz eng_british_Manchester_II7.24
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/liz05b.chaLiz 2;0.211,243997.24

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. hello9 · 100.0%