PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

4.94 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (359 utterances, 1,619 words searched).

  1. what's she wearing ? MOT · eng_british_Manchester_II/warr08b.cha, line 55 · Warren 2;00
  2. what's poor dolly wearing ? MOT · eng_british_Manchester_II/warr08b.cha, line 57 · Warren 2;00
  3. what's gone ? MOT · eng_british_Manchester_II/warr08b.cha, line 131 · Warren 2;00
  4. what's happened there ? MOT · eng_british_Manchester_II/warr08b.cha, line 325 · Warren 2;00
  5. what's in that bag ? MOT · eng_british_Manchester_II/warr08b.cha, line 703 · Warren 2;00
  6. what's in this bag ? MOT · eng_british_Manchester_II/warr08b.cha, line 769 · Warren 2;00
  7. what's that ? MOT · eng_british_Manchester_II/warr08b.cha, line 782 · Warren 2;00
  8. what's that ? MOT · eng_british_Manchester_II/warr08b.cha, line 1292 · Warren 2;00
  1. MOTlook at this poor dolly .
    MOTI bet she's cold , isn't she ?
    MOT*MOT: what's she wearing ?
    MOTwhat's poor dolly wearing ?
    MOTshall we put some clothes on the dolly ?
  2. MOTI bet she's cold , isn't she ?
    MOTwhat's she wearing ?
    MOT*MOT: what's poor dolly wearing ?
    MOTshall we put some clothes on the dolly ?
    CHIclothes on the dolly .
  3. CHItrailer 0has [*] gone , Mummy .
    CHItrailer 0has [*] gone .
    MOT*MOT: what's gone ?
    CHIxxx .
    MOTis it the trailer you're after ?
  4. CHIoh .
    MOToh .
    MOT*MOT: what's happened there ?
    MOTtwo little bricks and one big brick .
    CHIoh .
  5. CHImore toys .
    MOTright .
    MOT*MOT: what's in that bag ?
    CHIoh .
    CHIMummy take it out .
  6. CHImore toys there .
    CHIMummy find it .
    MOT*MOT: what's in this bag ?
    CHIMummy find it .
    CHIMummy toys .
  7. MOTit's not in the bag .
    CHIoh .
    MOT*MOT: what's that ?
    MOTwhat is it ?
    MOTis it an apple ?
  8. MOToh putting them back .
    MOTwhat a mess .
    MOT*MOT: what's that ?
    CHIWarren xxx .
    MOTno careful .

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. Warren eng_british_Manchester_II4.94
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr08b.chaWarren 2;0.241,619884.94

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. what's8 · 100.0%