PHPCLANCHILDES with regular expressions

10 matches in 10 utterances

5.75 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (383 utterances, 1,740 words searched).

  1. your socks are all right . MOT · eng_british_Manchester_II/warr10b.cha, line 100 · Warren 2;01
  2. that's all right . MOT · eng_british_Manchester_II/warr10b.cha, line 394 · Warren 2;01
  3. right . MOT · eng_british_Manchester_II/warr10b.cha, line 418 · Warren 2;01
  4. all right . MOT · eng_british_Manchester_II/warr10b.cha, line 655 · Warren 2;01
  5. right . MOT · eng_british_Manchester_II/warr10b.cha, line 820 · Warren 2;01
  6. right . MOT · eng_british_Manchester_II/warr10b.cha, line 824 · Warren 2;01
  7. that's right . MOT · eng_british_Manchester_II/warr10b.cha, line 861 · Warren 2;01
  8. he's all right now , is he ? MOT · eng_british_Manchester_II/warr10b.cha, line 983 · Warren 2;01
  9. all right then . INV · eng_british_Manchester_II/warr10b.cha, line 1064 · Warren 2;01
  10. that's right . MOT · eng_british_Manchester_II/warr10b.cha, line 1080 · Warren 2;01
  1. MOTlet's just pull your slipper socks back on properly because they're going to come off in a minute , aren't they ?
    MOTand then your little feet will get cold .
    MOT*MOT: your socks are all right .
    MOTit's just your slipper socks coming off .
    MOTthey've gone all fluffy , haven't they these slipper socks ?
  2. MOTwhat have we got now ?
    MOTmandarin segments .
    MOT*MOT: that's all right .
    MOTand lemon .
    MOTwhat a lot of shopping .
  3. MOTlook .
    MOTand a big tomato .
    MOT*MOT: right .
    MOT<shall Mummy> [//] shall I work out how much it all costs ?
    MOTtwo pounds fifty please .
  4. CHIbuy shopping again .
    MOTgo shopping again .
    MOT*MOT: all right .
    MOT<what're you going to have> [//] what're you going to buy today ?
    CHIorange juice .
  5. CHIwhere field ?
    MOTwith walls around it .
    MOT*MOT: right .
    MOTput that one in there .
    MOTright .
  6. MOTright .
    MOTput that one in there .
    MOT*MOT: right .
    MOTwe need to build the walls up a bit higher , don't we ?
    CHIthat one fit there .
  7. CHIhippo go in .
    CHIhippo go in the field .
    MOT*MOT: that's right .
    MOTwhat else is there ?
    MOTwhere's the tiger ?
  8. MOTare you going to kiss him better ?
    CHIhe's all right .
    MOT*MOT: he's all right now , is he ?
    CHIWarren .
    CHImy [*] hug .
  9. MOTexcuse you .
    CHIexcuse me Nana .
    INV*INV: all right then .
    CHIexcuse me Mummy .
    MOTof course .
  10. CHIAnna .
    MOTyeah .
    MOT*MOT: that's right .
    CHImake a hippo .
    MOTwhat are those ?

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_II5.75
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr10b.chaWarren 2;1.141,74010105.75

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. right10 · 100.0%