PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.98 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (424 utterances, 1,679 words searched).

  1. what else does he need ? MOT · eng_british_Manchester_II/liz02a.cha, line 702 · Liz 1;11
  2. what else does teddy need ? MOT · eng_british_Manchester_II/liz02a.cha, line 706 · Liz 1;11
  3. and what else ? MOT · eng_british_Manchester_II/liz02a.cha, line 720 · Liz 1;11
  4. what else do they have here ? MOT · eng_british_Manchester_II/liz02a.cha, line 769 · Liz 1;11
  5. sit down or else you'll have to go back in the kitchen . MOT · eng_british_Manchester_II/liz02a.cha, line 1165 · Liz 1;11
  1. MOTand his ears .
    MOTand teddy's eyes .
    MOT*MOT: what else does he need ?
    CHImore .
    MOTwhat else does teddy need ?
  2. MOTwhat else does he need ?
    CHImore .
    MOT*MOT: what else does teddy need ?
    CHIears .
    MOTyeah there's his ears .
  3. CHIyeah .
    MOTyeah ?
    MOT*MOT: and what else ?
    MOTa smiley mouth .
    MOTthere you go .
  4. MOTand a pointy nose .
    MOTlike that ?
    MOT*MOT: what else do they have here ?
    CHIsit down .
    MOTwhiskers .
  5. CHIxxx .
    CHIxxx .
    MOT*MOT: sit down or else you'll have to go back in the kitchen .
    CHIxxx .
    CHIxxx .

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_II2.98
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/liz02a.chaLiz 1;11.161,679552.98

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. else5 · 100.0%