PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

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

  1. and who went ? MOT · eng_british_Manchester_II/warr02a.cha, line 787 · Warren 1;10
  2. who else went ? MOT · eng_british_Manchester_II/warr02a.cha, line 789 · Warren 1;10
  3. you went to the airport . MOT · eng_british_Manchester_II/warr02a.cha, line 793 · Warren 1;10
  4. who else went to the airport ? MOT · eng_british_Manchester_II/warr02a.cha, line 795 · Warren 1;10
  5. we know you went to the airport . MOT · eng_british_Manchester_II/warr02a.cha, line 801 · Warren 1;10
  6. but who else went ? MOT · eng_british_Manchester_II/warr02a.cha, line 803 · Warren 1;10
  7. Warren went . MOT · eng_british_Manchester_II/warr02a.cha, line 807 · Warren 1;10
  8. who else went with Warren and Mummy ? MOT · eng_british_Manchester_II/warr02a.cha, line 809 · Warren 1;10
  1. CHIand Mummy airport .
    MOTyes .
    MOT*MOT: and who went ?
    MOTwho else went ?
    CHIWarren airport .
  2. MOTyes .
    MOTand who went ?
    MOT*MOT: who else went ?
    CHIWarren airport .
    MOTyou went to the airport .
  3. MOTwho else went ?
    CHIWarren airport .
    MOT*MOT: you went to the airport .
    MOTwho else went to the airport ?
    CHIWarren airport .
  4. CHIWarren airport .
    MOTyou went to the airport .
    MOT*MOT: who else went to the airport ?
    CHIWarren airport .
    MOTWarren .
  5. CHIWarren airport .
    MOTWarren .
    MOT*MOT: we know you went to the airport .
    MOTbut who else went ?
    CHIWarren .
  6. MOTWarren .
    MOTwe know you went to the airport .
    MOT*MOT: but who else went ?
    CHIWarren .
    MOTWarren went .
  7. MOTbut who else went ?
    CHIWarren .
    MOT*MOT: Warren went .
    MOTwho else went with Warren and Mummy ?
    CHIDaddy .
  8. 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_II4.17
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr02a.chaWarren 1;10.151,919884.17

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. went8 · 100.0%