PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.55 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (427 utterances, 1,964 words searched).

  1. pardon ? MOT · eng_british_Manchester_II/warr14a.cha, line 113 · Warren 2;02
  2. pardon ? MOT · eng_british_Manchester_II/warr14a.cha, line 129 · Warren 2;02
  3. pardon ? MOT · eng_british_Manchester_II/warr14a.cha, line 997 · Warren 2;02
  4. pardon ? MOT · eng_british_Manchester_II/warr14a.cha, line 1162 · Warren 2;02
  5. pardon ? MOT · eng_british_Manchester_II/warr14a.cha, line 1611 · Warren 2;02
  1. MOTbut what did you do after Tiny_teds ?
    CHIum songs .
    MOT*MOT: pardon ?
    CHIsongs .
    MOTsongs .
  2. MOTwhich songs did you sing ?
    CHIxxx .
    MOT*MOT: pardon ?
    CHIxxx .
    MOTwhich one ?
  3. MOTyes pet .
    CHIwant a wall at the front .
    MOT*MOT: pardon ?
    MOTyou want a wall at the front ?
    CHIno .
  4. CHIwant Anna's toys .
    CHIwhere's Anna's toys ?
    MOT*MOT: pardon ?
    CHIwhere's Anna's toys ?
    MOTAnna's toys .
  5. CHIno .
    CHIxxx .
    MOT*MOT: pardon ?
    CHII want make animals .
    MOTyou want to make animals ?

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_II2.55
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr14a.chaWarren 2;2.181,964552.55

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. pardon5 · 100.0%