PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.61 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (480 utterances, 1,919 words searched).

  1. what else has she said ? MOT · eng_british_Manchester_II/warr02a.cha, line 691 · Warren 1;10
  2. who else went ? MOT · eng_british_Manchester_II/warr02a.cha, line 789 · Warren 1;10
  3. who else went to the airport ? MOT · eng_british_Manchester_II/warr02a.cha, line 795 · Warren 1;10
  4. but who else went ? MOT · eng_british_Manchester_II/warr02a.cha, line 803 · Warren 1;10
  5. who else went with Warren and Mummy ? MOT · eng_british_Manchester_II/warr02a.cha, line 809 · Warren 1;10
  1. CHIhello .
    MOToh right .
    MOT*MOT: what else has she said ?
    CHIgone .
    MOThas she gone ?
  2. MOTyes .
    MOTand who went ?
    MOT*MOT: who else went ?
    CHIWarren airport .
    MOTyou went to the airport .
  3. CHIWarren airport .
    MOTyou went to the airport .
    MOT*MOT: who else went to the airport ?
    CHIWarren airport .
    MOTWarren .
  4. MOTWarren .
    MOTwe know you went to the airport .
    MOT*MOT: but who else went ?
    CHIWarren .
    MOTWarren went .
  5. CHIWarren .
    MOTWarren went .
    MOT*MOT: who else went with Warren and Mummy ?
    CHIDaddy .
    MOTyes .

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_II2.61
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr02a.chaWarren 1;10.151,919552.61

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%