PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

4.09 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (545 utterances, 1,958 words searched).

  1. are you standing on my toe ? MOT · eng_british_Manchester_II/ruth02a.cha, line 27 · Ruth 1;11
  2. are you standing on my toe ? MOT · eng_british_Manchester_II/ruth02a.cha, line 29 · Ruth 1;11
  3. are you looking for a Mama ? MOT · eng_british_Manchester_II/ruth02a.cha, line 373 · Ruth 1;11
  4. what are you ? MOT · eng_british_Manchester_II/ruth02a.cha, line 481 · Ruth 1;11
  5. what are they ? MOT · eng_british_Manchester_II/ruth02a.cha, line 612 · Ruth 1;11
  6. what are they doing there , Ruth ? MOT · eng_british_Manchester_II/ruth02a.cha, line 953 · Ruth 1;11
  7. are you telling him to get down ? MOT · eng_british_Manchester_II/ruth02a.cha, line 1242 · Ruth 1;11
  8. are you gonna [: going to] have a sandwich ? MOT · eng_british_Manchester_II/ruth02a.cha, line 1307 · Ruth 1;11
  1. CHIthere .
    MOTMummy's toes .
    MOT*MOT: are you standing on my toe ?
    MOTare you standing on my toe ?
    MOTRuth .
  2. MOTMummy's toes .
    MOTare you standing on my toe ?
    MOT*MOT: are you standing on my toe ?
    MOTRuth .
    MOTwhat're you doing ?
  3. MOTshe's not a Mama .
    MOTwhere is the Mama ?
    MOT*MOT: are you looking for a Mama ?
    CHImmhm .
    MOTI don't think she's there .
  4. CHII 0am [*] a baba .
    MOTyou what ?
    MOT*MOT: what are you ?
    CHIa baba .
    MOTyou're not a baba .
  5. CHIon there .
    MOTthose .
    MOT*MOT: what are they ?
    CHIon there .
    MOTtrousers .
  6. MOTthat's right .
    MOTwww .
    MOT*MOT: what are they doing there , Ruth ?
    CHIthere .
    MOTthey're jumping , aren't they ?
  7. MOTthat's right .
    CHImieow@o get down .
    MOT*MOT: are you telling him to get down ?
    MOTwhat did you say there ?
    CHIget down .
  8. MOTyou didn't eat your lunch right .
    MOTMummy's still got your sandwiches .
    MOT*MOT: are you gonna [: going to] have a sandwich ?
    CHIyeah .
    MOTyou want a sandwich .

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_II4.09
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/ruth02a.chaRuth 1;11.201,958884.09

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. are8 · 100.0%