PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

4.00 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (368 utterances, 1,749 words searched).

  1. now then . MOT · eng_british_Manchester_II/warr23a.cha, line 73 · Warren 2;05
  2. now then . MOT · eng_british_Manchester_II/warr23a.cha, line 211 · Warren 2;05
  3. well you go and do one then , Warren . FAT · eng_british_Manchester_II/warr23a.cha, line 434 · Warren 2;05
  4. well if you say I want to help then I probably do . MOT · eng_british_Manchester_II/warr23a.cha, line 624 · Warren 2;05
  5. then you can finish your jigsaw puzzle . MOT · eng_british_Manchester_II/warr23a.cha, line 789 · Warren 2;05
  6. now then . MOT · eng_british_Manchester_II/warr23a.cha, line 817 · Warren 2;05
  7. now then . MOT · eng_british_Manchester_II/warr23a.cha, line 1070 · Warren 2;05
  1. MOTbrilliant .
    MOThooray .
    MOT*MOT: now then .
    MOTyou've got to try and find a piece that goes here .
    MOTwhat's that man going to be holding ?
  2. MOToh and look .
    MOTwe can see the smoke , can't we coming out of the exhaust pipe .
    MOT*MOT: now then .
    MOTwhere are those other pieces going to go ?
    CHIthat goes there .
  3. MOTquickly .
    CHII need a poo , Daddy .
    FAT*FAT: well you go and do one then , Warren .
    MOTyeah well you come down .
    MOTyou come down .
  4. MOTdo I ?
    CHIyes .
    MOT*MOT: well if you say I want to help then I probably do .
    CHIwant to help me , Mummy ?
    MOTwell those two don't go together .
  5. MOTwell you put it on his knee just there .
    MOTput it on his knee .
    MOT*MOT: then you can finish your jigsaw puzzle .
    CHII put it like that .
    CHIhe put it on there .
  6. MOTyou like cooked carrot , don't you ?
    MOTright .
    MOT*MOT: now then .
    MOTI'm going to put a piece on for you .
    MOTthere you go .
  7. CHIsomeone 0is [*] driving on the road .
    MOTmmhm .
    MOT*MOT: now then .
    MOTwe've got two pieces that need to go in .
    MOTwhich piece goes where ?

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_II4.00
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr23a.chaWarren 2;5.271,749774.00

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. then7 · 100.0%