PHPCLANCHILDES with regular expressions

6 matches in 5 utterances

5.07 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (294 utterances, 1,184 words searched).

  1. they die very very regularly . MOT · eng_british_Manchester_II/liz32a.cha, line 181 · Liz 2;09
  2. they die very very regularly . MOT · eng_british_Manchester_II/liz32a.cha, line 181 · Liz 2;09
  3. looks very windy there , doesn't it ? MOT · eng_british_Manchester_II/liz32a.cha, line 289 · Liz 2;09
  4. it's getting very dry . MOT · eng_british_Manchester_II/liz32a.cha, line 613 · Liz 2;09
  5. I like my tea very hot . MOT · eng_british_Manchester_II/liz32a.cha, line 880 · Liz 2;09
  6. mmm very nice . INV · eng_british_Manchester_II/liz32a.cha, line 1019 · Liz 2;09
  1. eng_british_Manchester_II/liz32a.cha, line 181 · Liz, 2;9.25
    MOTso they've had to bury it in the garden and they're a bit sad .
    MOTbut hamsters do that .
    MOT*MOT: they die very very regularly .
    MOTwork days .
    MOTeverybody's busy , aren't they ?
  2. eng_british_Manchester_II/liz32a.cha, line 289 · Liz, 2;9.25
    MOTrainy days .
    MOTand blowy days .
    MOT*MOT: looks very windy there , doesn't it ?
    MOThealthy days .
    MOTwhat's that ?
  3. eng_british_Manchester_II/liz32a.cha, line 613 · Liz, 2;9.25
    MOTdo you want to bring that here while I you know squeeze it all together because it's all in bits , isn't it ?
    MOTI think we need some more really .
    MOT*MOT: it's getting very dry .
    MOTI'll squeeze it all together because it's [/] it's too dry to mess with , isn't it ?
    MOTyeah .
  4. eng_british_Manchester_II/liz32a.cha, line 880 · Liz, 2;9.25
    MOTdo you think you could heat it up a bit more for me ?
    MOTin the microwave .
    MOT*MOT: I like my tea very hot .
    CHII go to cook the tea very hot .
    MOTwe'll wait for the ping , shall we ?
  5. eng_british_Manchester_II/liz32a.cha, line 1019 · Liz, 2;9.25
    INVthank you .
    CHIcup of coffee .
    INV*INV: mmm very nice .
    INVthank you .
    CHIare you full up ?

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. Liz eng_british_Manchester_II5.07
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/liz32a.chaLiz 2;9.251,184565.07

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. very6 · 100.0%