PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

4.07 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (540 utterances, 1,718 words searched).

  1. are you gonna [: going to] put her to bed near the fire so she keeps nice and warm ? MOT · eng_british_Manchester_II/joel24b.cha, line 25 · Joel 2;06
  2. that's not nice . MOT · eng_british_Manchester_II/joel24b.cha, line 349 · Joel 2;06
  3. that's not very nice , panda . MOT · eng_british_Manchester_II/joel24b.cha, line 371 · Joel 2;06
  4. there's a nice lettuce . MOT · eng_british_Manchester_II/joel24b.cha, line 665 · Joel 2;06
  5. there's a nice big box of eggs . MOT · eng_british_Manchester_II/joel24b.cha, line 709 · Joel 2;06
  6. can you make me a nice burger ? MOT · eng_british_Manchester_II/joel24b.cha, line 1248 · Joel 2;06
  7. it's not really very nice , is it ? MOT · eng_british_Manchester_II/joel24b.cha, line 1916 · Joel 2;06
  1. MOTsleep now , dolly .
    CHIsleep now , dolly .
    MOT*MOT: are you gonna [: going to] put her to bed near the fire so she keeps nice and warm ?
    CHIyeah .
    CHIthere you are .
  2. MOTyou ran over my animals .
    MOTgo away .
    MOT*MOT: that's not nice .
    CHIxxx .
    MOTno .
  3. MOToh .
    MOTyou got them there .
    MOT*MOT: that's not very nice , panda .
    MOTI think you ought to go and stand in the corner .
    MOTgo on .
  4. CHIsome [/] some lettuce .
    MOToh .
    MOT*MOT: there's a nice lettuce .
    CHIthank you .
    MOTwant another leaf of lettuce as well ?
  5. MOTsome eggs ?
    MOToh .
    MOT*MOT: there's a nice big box of eggs .
    MOTwhat're you going to make then with all those ingredients ?
    CHII want some chips please .
  6. CHIdo you want cheese ?
    MOTwell .
    MOT*MOT: can you make me a nice burger ?
    CHIalright .
    MOTxxx ingredients .
  7. MOTthis is nasty , isn't it ?
    CHIyeah .
    MOT*MOT: it's not really very nice , is it ?
    MOTif it's gonna [: going to] carry on like this we'll take you back again .
    MOTget a second opinion I think .

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. Joel eng_british_Manchester_II4.07
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/joel24b.chaJoel 2;6.261,718774.07

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. nice7 · 100.0%