PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

4.35 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (579 utterances, 1,840 words searched).

  1. I know that's your Mummy . INV · eng_british_Manchester_II/joel15a.cha, line 334 · Joel 2;03
  2. do you love your Mummy ? INV · eng_british_Manchester_II/joel15a.cha, line 341 · Joel 2;03
  3. Mummy's not very good at this , is she ? MOT · eng_british_Manchester_II/joel15a.cha, line 545 · Joel 2;03
  4. Mummy's gone to find some money for the window+cleaner . INV · eng_british_Manchester_II/joel15a.cha, line 647 · Joel 2;03
  5. is that Mummy whale ? MOT · eng_british_Manchester_II/joel15a.cha, line 747 · Joel 2;03
  6. so haven't they got Mummy whale ? MOT · eng_british_Manchester_II/joel15a.cha, line 761 · Joel 2;03
  7. is this Daddy or Mummy tiger ? MOT · eng_british_Manchester_II/joel15a.cha, line 850 · Joel 2;03
  8. is that Daddy or Mummy tiger ? MOT · eng_british_Manchester_II/joel15a.cha, line 852 · Joel 2;03
  1. MOTthat's lovely .
    CHIthat's my Mummy .
    INV*INV: I know that's your Mummy .
    INVyes .
    MOTwww .
  2. INVyes .
    MOTwww .
    INV*INV: do you love your Mummy ?
    CHIyeah .
    MOThow much ?
  3. MOTthat one's a bit tricky , isn't it ?
    MOToh .
    MOT*MOT: Mummy's not very good at this , is she ?
    MOTxxx .
    CHISam .
  4. MOTI'm coming back .
    MOTjust +...
    INV*INV: Mummy's gone to find some money for the window+cleaner .
    INVwhat else can you find ?
    INVoh .
  5. MOToh right .
    MOTso who's that ?
    MOT*MOT: is that Mummy whale ?
    CHIno .
    CHIDaddy whale .
  6. CHIthat's baby whale .
    MOTthat's baby whale .
    MOT*MOT: so haven't they got Mummy whale ?
    CHIno .
    MOTno .
  7. MOTwell .
    MOTwho's this ?
    MOT*MOT: is this Daddy or Mummy tiger ?
    MOTis that Daddy or Mummy tiger ?
    MOTbecause there's baby tiger .
  8. MOTwho's this ?
    MOTis this Daddy or Mummy tiger ?
    MOT*MOT: is that Daddy or Mummy tiger ?
    MOTbecause there's baby tiger .
    MOTso who's that ?

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_II4.35
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/joel15a.chaJoel 2;3.251,840884.35

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. mummy8 · 100.0%