PHPCLANCHILDES with regular expressions

6 matches in 3 utterances

3.57 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (432 utterances, 1,682 words searched).

  1. ow ow . MOT · eng_british_Manchester_II/joel10b.cha, line 669 · Joel 2;02
  2. ow ow . MOT · eng_british_Manchester_II/joel10b.cha, line 669 · Joel 2;02
  3. ow ow ow . MOT · eng_british_Manchester_II/joel10b.cha, line 671 · Joel 2;02
  4. ow ow ow . MOT · eng_british_Manchester_II/joel10b.cha, line 671 · Joel 2;02
  5. ow ow ow . MOT · eng_british_Manchester_II/joel10b.cha, line 671 · Joel 2;02
  6. ow . MOT · eng_british_Manchester_II/joel10b.cha, line 775 · Joel 2;02
  1. MOTthat will hurt .
    MOTmake panda cry .
    MOT*MOT: ow ow .
    MOTow ow ow .
    CHIpoor panda .
  2. MOTmake panda cry .
    MOTow ow .
    MOT*MOT: ow ow ow .
    CHIpoor panda .
    MOTpoor panda .
  3. MOTon the bus ?
    MOTI don't think there's any seats left on that bus .
    MOT*MOT: ow .
    MOTquite taken to panda , haven't you ?
    MOTwww .

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. Joel eng_british_Manchester_II3.57
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/joel10b.chaJoel 2;2.071,682363.57

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. ow6 · 100.0%