PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

3.90 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (616 utterances, 2,050 words searched).

  1. are you going to make me a nice burger ? MOT · eng_british_Manchester_II/joel09b.cha, line 13 · Joel 2;01
  2. not very nice . MOT · eng_british_Manchester_II/joel09b.cha, line 213 · Joel 2;01
  3. is that nice ? MOT · eng_british_Manchester_II/joel09b.cha, line 383 · Joel 2;01
  4. is she nice and clean now ? MOT · eng_british_Manchester_II/joel09b.cha, line 1471 · Joel 2;01
  5. has she got a nice clean bum ? INV · eng_british_Manchester_II/joel09b.cha, line 1510 · Joel 2;01
  6. nice clean bottom ? INV · eng_british_Manchester_II/joel09b.cha, line 1512 · Joel 2;01
  7. does it smell nice ? MOT · eng_british_Manchester_II/joel09b.cha, line 1855 · Joel 2;01
  8. it's really nice and cool on your face as well . INV · eng_british_Manchester_II/joel09b.cha, line 1862 · Joel 2;01
  1. MOT*MOT: are you going to make me a nice burger ?
    CHIthere burger .
    MOTthat [/] that's the beef+burger .
  2. CHIxxx .
    MOTyou can't eat them xxx .
    MOT*MOT: not very nice .
    CHIcob .
    MOTcob ?
  3. MOTlettuce .
    MOThey ?
    MOT*MOT: is that nice ?
    CHIbroccoli .
    INVbroccoli ?
  4. INVwww .
    MOTthere .
    MOT*MOT: is she nice and clean now ?
    CHIxxx .
    CHIand Mummy .
  5. MOTis she crying ?
    INVwhat +//.
    INV*INV: has she got a nice clean bum ?
    INVnice clean bottom ?
    MOTI hope so because Mummy's hugging her .
  6. INVwhat +//.
    INVhas she got a nice clean bum ?
    INV*INV: nice clean bottom ?
    MOTI hope so because Mummy's hugging her .
    CHIyeah .
  7. INVoh yes .
    INVwww .
    MOT*MOT: does it smell nice ?
    INVwww .
    MOToh .
  8. INVwww .
    MOToh .
    INV*INV: it's really nice and cool on your face as well .
    INVwhere's Joel gone ?
    MOTboo .

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_II3.90
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/joel09b.chaJoel 2;1.232,050883.90

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. nice8 · 100.0%