PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.75 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (411 utterances, 1,821 words searched).

  1. we don't want wild animals roaming about the streets , do we ? MOT · eng_british_Manchester_II/warr04b.cha, line 394 · Warren 1;11
  2. you want her to have a dress on ? MOT · eng_british_Manchester_II/warr04b.cha, line 423 · Warren 1;11
  3. if you want to take her dungarees off . MOT · eng_british_Manchester_II/warr04b.cha, line 431 · Warren 1;11
  4. why do you want it off ? MOT · eng_british_Manchester_II/warr04b.cha, line 510 · Warren 1;11
  5. I don't want you lounging about over me with a horrible nose . MOT · eng_british_Manchester_II/warr04b.cha, line 1286 · Warren 1;11
  1. eng_british_Manchester_II/warr04b.cha, line 394 · Warren, 1;11.04
    MOTonly they do look like ladders , don't they ?
    MOTthese are to stop the animals escaping from the zoo .
    MOT*MOT: we don't want wild animals roaming about the streets , do we ?
    MOTso we put fences around them .
    MOTwhat's this ?
  2. eng_british_Manchester_II/warr04b.cha, line 423 · Warren, 1;11.04
    CHII want dress .
    CHIwant dress on .
    MOT*MOT: you want her to have a dress on ?
    MOTif you pull the back there .
    MOTpull that .
  3. eng_british_Manchester_II/warr04b.cha, line 431 · Warren, 1;11.04
    MOTpull that .
    MOTright .
    MOT*MOT: if you want to take her dungarees off .
    MOTlook .
    MOTwhich dress shall we put on ?
  4. eng_british_Manchester_II/warr04b.cha, line 510 · Warren, 1;11.04
    CHIoff now .
    CHIwant off .
    MOT*MOT: why do you want it off ?
    MOTyou wanted it on a minute ago .
    MOTwell you work out how to take it off .
  5. eng_british_Manchester_II/warr04b.cha, line 1286 · Warren, 1;11.04
    MOTjust a second .
    MOTjust let me wipe your nose .
    MOT*MOT: I don't want you lounging about over me with a horrible nose .
    MOTblow .
    MOTthat's better , isn't it ?

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_II2.75
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr04b.chaWarren 1;11.041,821552.75

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. want5 · 100.0%