PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

4.32 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (304 utterances, 1,389 words searched).

  1. you want them now ? MOT · eng_british_Manchester_II/warr20a.cha, line 39 · Warren 2;04
  2. you can't have them now . MOT · eng_british_Manchester_II/warr20a.cha, line 41 · Warren 2;04
  3. is it cooler for me now ? INV · eng_british_Manchester_II/warr20a.cha, line 247 · Warren 2;04
  4. now since we can't find the pen . MOT · eng_british_Manchester_II/warr20a.cha, line 403 · Warren 2;04
  5. what shall I do now ? MOT · eng_british_Manchester_II/warr20a.cha, line 521 · Warren 2;04
  6. where are they going now ? MOT · eng_british_Manchester_II/warr20a.cha, line 762 · Warren 2;04
  1. eng_british_Manchester_II/warr20a.cha, line 39 · Warren, 2;4.22
    MOTyou can have Anna's toys later .
    CHII don't want later .
    MOT*MOT: you want them now ?
    MOTyou can't have them now .
    CHIno [*] want it .
  2. eng_british_Manchester_II/warr20a.cha, line 41 · Warren, 2;4.22
    CHII don't want later .
    MOTyou want them now ?
    MOT*MOT: you can't have them now .
    CHIno [*] want it .
    CHIno .
  3. eng_british_Manchester_II/warr20a.cha, line 247 · Warren, 2;4.22
    CHII blow on .
    INVoh thank you .
    INV*INV: is it cooler for me now ?
    CHIbit hot .
    INVmmhm .
  4. eng_british_Manchester_II/warr20a.cha, line 403 · Warren, 2;4.22
    CHImake [//] Mummy make a w@l for Warren .
    MOTokay .
    MOT*MOT: now since we can't find the pen .
    MOTI don't know where it is .
    MOTI have to think of something I can use .
  5. eng_british_Manchester_II/warr20a.cha, line 521 · Warren, 2;4.22
    CHIa m@l for Mummy .
    MOTyeah .
    MOT*MOT: what shall I do now ?
    CHII do another press .
    MOTshall I press the heart in ?
  6. eng_british_Manchester_II/warr20a.cha, line 762 · Warren, 2;4.22
    CHIchuff^chuff@o .
    CHIwhee .
    MOT*MOT: where are they going now ?
    MOTand Warren .
    MOTwhat do engines always do before they go through under bridges ?

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_II4.32
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr20a.chaWarren 2;4.221,389664.32

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. now6 · 100.0%