PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.06 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (637 utterances, 2,284 words searched).

  1. what else do you need ? MOT · eng_british_Manchester_II/nic01a.cha, line 90 · Nicole 2;00
  2. what else is there in here to play with ? MOT · eng_british_Manchester_II/nic01a.cha, line 445 · Nicole 2;00
  3. who else was there ? MOT · eng_british_Manchester_II/nic01a.cha, line 914 · Nicole 2;00
  4. and who else ? MOT · eng_british_Manchester_II/nic01a.cha, line 922 · Nicole 2;00
  5. and who else was there ? MOT · eng_british_Manchester_II/nic01a.cha, line 971 · Nicole 2;00
  6. shall we see what else there is in this cooker of yours ? MOT · eng_british_Manchester_II/nic01a.cha, line 1319 · Nicole 2;00
  7. shall we see what else there is ? MOT · eng_british_Manchester_II/nic01a.cha, line 1326 · Nicole 2;00
  1. MOTright .
    MOTgoing to take [/] take it round there ?
    MOT*MOT: what else do you need ?
    MOTwhat're you going to feed her with ?
    MOTdo you want a spoon ?
  2. MOTyou're getting silly now .
    CHIxxx .
    MOT*MOT: what else is there in here to play with ?
    CHIthere .
    CHIthere .
  3. MOTJamie .
    MOTRory and Jamie .
    MOT*MOT: who else was there ?
    CHIum # Carla .
    MOTCarla .
  4. MOTCarla .
    MOTyeah .
    MOT*MOT: and who else ?
    MOTHayley .
    MOTcan you say Hayley ?
  5. CHIAnne .
    MOTAnne .
    MOT*MOT: and who else was there ?
    MOTone more , wasn't there ?
    MOTAndrew .
  6. MOTno .
    MOTdon't do that please .
    MOT*MOT: shall we see what else there is in this cooker of yours ?
    MOThmm ?
    MOTshall we see what else there is ?
  7. MOTshall we see what else there is in this cooker of yours ?
    MOThmm ?
    MOT*MOT: shall we see what else there is ?
    MOTdo you think Caroline'd like a sandwich ?
    CHIyeah .

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. Nicole eng_british_Manchester_II3.06
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic01a.chaNicole 2;0.252,284773.06

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. else7 · 100.0%