PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

2.81 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (523 utterances, 2,138 words searched).

  1. who else can we put on top ? MOT · eng_british_Manchester_II/warr03a.cha, line 153 · Warren 1;10
  2. is there anyone else we can put in the bus ? MOT · eng_british_Manchester_II/warr03a.cha, line 217 · Warren 1;10
  3. yeah where else do you see planes ? MOT · eng_british_Manchester_II/warr03a.cha, line 798 · Warren 1;10
  4. and where else do you see them ? MOT · eng_british_Manchester_II/warr03a.cha, line 802 · Warren 1;10
  5. what else says nee^naw@o nee^naw@o . MOT · eng_british_Manchester_II/warr03a.cha, line 1286 · Warren 1;10
  6. what else is there on here ? MOT · eng_british_Manchester_II/warr03a.cha, line 1529 · Warren 1;10
  1. MOToh .
    MOTdon't you want the cow on top ?
    MOT*MOT: who else can we put on top ?
    MOTwho shall we put on top ?
    MOTput the car on it .
  2. MOTI think the monkey can go in the bus .
    MOTand the cow .
    MOT*MOT: is there anyone else we can put in the bus ?
    CHIno bus .
    MOTshall we put the boat in the bus ?
  3. CHIin the sky .
    CHIin sky .
    MOT*MOT: yeah where else do you see planes ?
    MOTsee planes in the sky .
    MOTand where else do you see them ?
  4. MOTyeah where else do you see planes ?
    MOTsee planes in the sky .
    MOT*MOT: and where else do you see them ?
    MOToh: .
    MOTwhat's happened ?
  5. CHInee^naw@o nee^naw@o nee^naw@o .
    CHIWarren's police car .
    MOT*MOT: what else says nee^naw@o nee^naw@o .
    CHIpolice van .
    CHIpolice car .
  6. MOTwell spotted .
    MOTI didn't notice that .
    MOT*MOT: what else is there on here ?
    MOTwhat's that ?
    MOTwhat's that ?

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_II2.81
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr03a.chaWarren 1;10.292,138662.81

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. else6 · 100.0%