PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

4.29 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (475 utterances, 1,864 words searched).

  1. you sit down before you have your juice . MOT · eng_british_Manchester_II/ruth16a.cha, line 30 · Ruth 2;04
  2. sit down . MOT · eng_british_Manchester_II/ruth16a.cha, line 80 · Ruth 2;04
  3. sit down . MOT · eng_british_Manchester_II/ruth16a.cha, line 82 · Ruth 2;04
  4. sit down . MOT · eng_british_Manchester_II/ruth16a.cha, line 84 · Ruth 2;04
  5. sit down . MOT · eng_british_Manchester_II/ruth16a.cha, line 86 · Ruth 2;04
  6. sit down . MOT · eng_british_Manchester_II/ruth16a.cha, line 94 · Ruth 2;04
  7. sit down . MOT · eng_british_Manchester_II/ruth16a.cha, line 100 · Ruth 2;04
  8. is she gonna [: going to] sit on my knee ? INV · eng_british_Manchester_II/ruth16a.cha, line 1464 · Ruth 2;04
  1. MOTwhat would you like to play with today ?
    MOTno .
    MOT*MOT: you sit down before you have your juice .
    CHIno .
    MOToh well .
  2. MOTdid you play on one this morning at play+group ?
    MOTyeah .
    MOT*MOT: sit down .
    MOTsit down .
    MOTsit down .
  3. MOTyeah .
    MOTsit down .
    MOT*MOT: sit down .
    MOTsit down .
    MOTsit down .
  4. MOTsit down .
    MOTsit down .
    MOT*MOT: sit down .
    MOTsit down .
    MOTI can see you're gonna [: going to] be very naughty today .
  5. MOTsit down .
    MOTsit down .
    MOT*MOT: sit down .
    MOTI can see you're gonna [: going to] be very naughty today .
    MOTare you gonna [: going to] be a good girl or a naughty girl today ?
  6. MOTI can see you're gonna [: going to] be very naughty today .
    MOTare you gonna [: going to] be a good girl or a naughty girl today ?
    MOT*MOT: sit down .
    CHIno .
    MOToh well no juice .
  7. CHIno .
    MOToh well no juice .
    MOT*MOT: sit down .
    MOTyou're very good at spilling juice you .
    CHII sit down there .
  8. CHImmhm .
    MOTokay .
    INV*INV: is she gonna [: going to] sit on my knee ?
    INVokay .
    CHIAnna there .

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. Ruth eng_british_Manchester_II4.29
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/ruth16a.chaRuth 2;4.151,864884.29

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. sit8 · 100.0%