PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

4.15 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (509 utterances, 1,926 words searched).

  1. what darling ? MOT · eng_british_Manchester_II/ruth13b.cha, line 46 · Ruth 2;03
  2. just pretend darling . MOT · eng_british_Manchester_II/ruth13b.cha, line 938 · Ruth 2;03
  3. just pretend darling . MOT · eng_british_Manchester_II/ruth13b.cha, line 948 · Ruth 2;03
  4. just pretend darling . MOT · eng_british_Manchester_II/ruth13b.cha, line 991 · Ruth 2;03
  5. Mummy's bottom's too big darling . MOT · eng_british_Manchester_II/ruth13b.cha, line 1530 · Ruth 2;03
  6. thank you darling . MOT · eng_british_Manchester_II/ruth13b.cha, line 1550 · Ruth 2;03
  7. what's in your bath darling ? MOT · eng_british_Manchester_II/ruth13b.cha, line 1687 · Ruth 2;03
  8. thank you darling . MOT · eng_british_Manchester_II/ruth13b.cha, line 1767 · Ruth 2;03
  1. CHIno .
    CHIno .
    MOT*MOT: what darling ?
    CHIxxx , no .
    CHIme on there .
  2. MOTis it nice juice ?
    MOTRuth .
    MOT*MOT: just pretend darling .
    MOTdon't put it in your mouth .
    MOTdon't put it in your mouth .
  3. CHIme on xxx .
    CHIme on there .
    MOT*MOT: just pretend darling .
    MOTnot in your mouth pet .
    MOTdon't put it in your mouth .
  4. MOTnot in the mouth .
    MOTlisten , Ruth .
    MOT*MOT: just pretend darling .
    MOTnot in the mouth .
    CHIme [*] want juice there .
  5. CHIMama sit down there .
    CHIMama sit down there .
    MOT*MOT: Mummy's bottom's too big darling .
    MOTMummy would break the hat .
    CHIhuh ?
  6. MOTthank you .
    CHIhere , Mummy .
    MOT*MOT: thank you darling .
    CHIMama chair now .
    MOTokay .
  7. MOTwhat ?
    CHIxxx me bath .
    MOT*MOT: what's in your bath darling ?
    CHIxxx me bath .
    MOToh are you tired ?
  8. MOTyeah .
    MOTaah .
    MOT*MOT: thank you darling .
    MOTthank you .
    MOTchicken .

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_II4.15
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/ruth13b.chaRuth 2;3.251,926884.15

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. darling8 · 100.0%