PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

4.29 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (316 utterances, 1,399 words searched).

  1. shoes off . MOT · eng_british_Manchester_II/warr26a.cha, line 10 · Warren 2;07
  2. lock it and they can't fall off . MOT · eng_british_Manchester_II/warr26a.cha, line 98 · Warren 2;07
  3. where's that tractor off to ? MOT · eng_british_Manchester_II/warr26a.cha, line 154 · Warren 2;07
  4. take that off . MOT · eng_british_Manchester_II/warr26a.cha, line 999 · Warren 2;07
  5. where you took your shoes off . MOT · eng_british_Manchester_II/warr26a.cha, line 1200 · Warren 2;07
  6. that's getting the dirt off , isn't it ? MOT · eng_british_Manchester_II/warr26a.cha, line 1350 · Warren 2;07
  1. eng_british_Manchester_II/warr26a.cha, line 10 · Warren, 2;7.05
    MOT*MOT: shoes off .
    MOTwhere's your car transporter ?
    MOThave you looked for it ?
  2. eng_british_Manchester_II/warr26a.cha, line 98 · Warren, 2;7.05
    MOTlet's lock it .
    MOTpush that up .
    MOT*MOT: lock it and they can't fall off .
    CHIbrumm@o .
    CHIa car's stopping .
  3. eng_british_Manchester_II/warr26a.cha, line 154 · Warren, 2;7.05
    CHIbrumm@o .
    MOThey .
    MOT*MOT: where's that tractor off to ?
    CHIall these vehicles go to Malta .
    MOTare they ?
  4. eng_british_Manchester_II/warr26a.cha, line 999 · Warren, 2;7.05
    MOTmy toes aren't nanas .
    MOTno .
    MOT*MOT: take that off .
    MOTI don't want your shoe on .
    MOTI don't really want you on me because you need clean trousers on really .
  5. eng_british_Manchester_II/warr26a.cha, line 1200 · Warren, 2;7.05
    MOTWarren .
    MOTwhere did you go this afternoon with baby Conor ?
    MOT*MOT: where you took your shoes off .
    CHIin the balls .
    MOTwhat was the place called ?
  6. eng_british_Manchester_II/warr26a.cha, line 1350 · Warren, 2;7.05
    CHIclean the bonnet .
    MOTwow .
    MOT*MOT: that's getting the dirt off , isn't it ?
    MOTis Paf watching ?
    MOToh .

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. Warren eng_british_Manchester_II4.29
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr26a.chaWarren 2;7.051,399664.29

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. off6 · 100.0%