PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

5.19 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (386 utterances, 1,350 words searched).

  1. eh ? MOT · eng_british_Manchester_II/liz01b.cha, line 46 · Liz 1;11
  2. eh ? MOT · eng_british_Manchester_II/liz01b.cha, line 113 · Liz 1;11
  3. eh ? MOT · eng_british_Manchester_II/liz01b.cha, line 303 · Liz 1;11
  4. eh ? MOT · eng_british_Manchester_II/liz01b.cha, line 679 · Liz 1;11
  5. well we'll have Thomas_the_Tank on in a minute eh ? MOT · eng_british_Manchester_II/liz01b.cha, line 697 · Liz 1;11
  6. eh ? MOT · eng_british_Manchester_II/liz01b.cha, line 759 · Liz 1;11
  7. eh ? MOT · eng_british_Manchester_II/liz01b.cha, line 895 · Liz 1;11
  1. eng_british_Manchester_II/liz01b.cha, line 46 · Liz, 1;11.09
    CHILiz hug .
    MOTyeah .
    MOT*MOT: eh ?
    MOTwhat're you doing ?
    CHIdown .
  2. eng_british_Manchester_II/liz01b.cha, line 113 · Liz, 1;11.09
    MOTbecause he can't row any faster .
    MOTwhat do you want to play with now ?
    MOT*MOT: eh ?
    CHIxxx .
    MOThmm ?
  3. eng_british_Manchester_II/liz01b.cha, line 303 · Liz, 1;11.09
    MOTif we ever manage to fix it we'll need it , won't [: willn't] we ?
    CHImine .
    MOT*MOT: eh ?
    CHIthere .
    MOTit goes like that .
  4. eng_british_Manchester_II/liz01b.cha, line 679 · Liz, 1;11.09
    MOTthat was an accident though , wasn't it ?
    CHIno .
    MOT*MOT: eh ?
    MOTwhat're you doing Liz ?
    CHIthere .
  5. eng_british_Manchester_II/liz01b.cha, line 697 · Liz, 1;11.09
    CHITank .
    CHITank .
    MOT*MOT: well we'll have Thomas_the_Tank on in a minute eh ?
    CHITank .
    MOTyeah we'll have it on soon .
  6. eng_british_Manchester_II/liz01b.cha, line 759 · Liz, 1;11.09
    MOTI haven't seen this one yet .
    MOThave you ?
    MOT*MOT: eh ?
    MOTwho is it ?
    CHITank .
  7. eng_british_Manchester_II/liz01b.cha, line 895 · Liz, 1;11.09
    MOTyou've got milk somewhere .
    MOTwhere did your milk go ?
    MOT*MOT: eh ?
    MOToh it's over there on the cushion .
    CHIcushion .

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_II5.19
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/liz01b.chaLiz 1;11.091,350775.19

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. eh7 · 100.0%