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. is she nice and clean now ? MOT · eng_british_Manchester_II/joel09b.cha, line 1471 · Joel 2;01
  2. has she got a nice clean bum ? INV · eng_british_Manchester_II/joel09b.cha, line 1510 · Joel 2;01
  3. nice clean bottom ? INV · eng_british_Manchester_II/joel09b.cha, line 1512 · Joel 2;01
  4. did you make her bottom clean ? INV · eng_british_Manchester_II/joel09b.cha, line 1521 · Joel 2;01
  5. is your bottom clean ? INV · eng_british_Manchester_II/joel09b.cha, line 1529 · Joel 2;01
  6. clean ones ? MOT · eng_british_Manchester_II/joel09b.cha, line 2006 · Joel 2;01
  7. are they clean ones ? MOT · eng_british_Manchester_II/joel09b.cha, line 2010 · Joel 2;01
  8. why have they got to be clean ? MOT · eng_british_Manchester_II/joel09b.cha, line 2016 · Joel 2;01
  1. INVwww .
    MOTthere .
    MOT*MOT: is she nice and clean now ?
    CHIxxx .
    CHIand Mummy .
  2. MOTis she crying ?
    INVwhat +//.
    INV*INV: has she got a nice clean bum ?
    INVnice clean bottom ?
    MOTI hope so because Mummy's hugging her .
  3. INVwhat +//.
    INVhas she got a nice clean bum ?
    INV*INV: nice clean bottom ?
    MOTI hope so because Mummy's hugging her .
    CHIyeah .
  4. CHIyeah .
    CHImake bottom clean .
    INV*INV: did you make her bottom clean ?
    INVyou did +//.
    CHIno .
  5. CHIno .
    CHII make bottom clean .
    INV*INV: is your bottom clean ?
    CHIyeah .
    INVxxx .
  6. CHIclean ones .
    CHIthey clean ones .
    MOT*MOT: clean ones ?
    CHIthat clean ones .
    MOTare they clean ones ?
  7. MOTclean ones ?
    CHIthat clean ones .
    MOT*MOT: are they clean ones ?
    CHIyeah .
    MOTmmhm .
  8. CHIyeah .
    MOTmmhm .
    MOT*MOT: why have they got to be clean ?
    MOTthey willn't go in there .
    CHIxxx other side .

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. clean8 · 100.0%