PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

4.41 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (442 utterances, 1,586 words searched).

  1. Ruth . MOT · eng_british_Manchester_II/ruth14b.cha, line 269 · Ruth 2;04
  2. Ruth . MOT · eng_british_Manchester_II/ruth14b.cha, line 623 · Ruth 2;04
  3. Ruth . MOT · eng_british_Manchester_II/ruth14b.cha, line 631 · Ruth 2;04
  4. Ruth . MOT · eng_british_Manchester_II/ruth14b.cha, line 735 · Ruth 2;04
  5. Ruth . MOT · eng_british_Manchester_II/ruth14b.cha, line 875 · Ruth 2;04
  6. Ruth . MOT · eng_british_Manchester_II/ruth14b.cha, line 940 · Ruth 2;04
  7. that's an orange , Ruth . MOT · eng_british_Manchester_II/ruth14b.cha, line 1031 · Ruth 2;04
  1. CHIme [*] sit down there .
    MOTright .
    MOT*MOT: Ruth .
    MOTlet me just get the other table because +...
    CHIhuh ?
  2. MOTthere .
    MOTwhat's that ?
    MOT*MOT: Ruth .
    MOTthat's very nice .
    CHIon there .
  3. CHIon there .
    CHIon there .
    MOT*MOT: Ruth .
    MOTwhat color is his shoe ?
    MOTwhat color are the shoes ?
  4. MOTare you gonna [: going to] get them ?
    MOTthey're in that corner .
    MOT*MOT: Ruth .
    CHIhuh ?
    MOTthey're in here darling .
  5. MOTyou're gonna [: going to] get Anna's toys out .
    MOThello you .
    MOT*MOT: Ruth .
    MOTwe've lost one of these now .
    CHIhuh ?
  6. CHIhuh ?
    MOTfood .
    MOT*MOT: Ruth .
    MOTnot in the mouth darling .
    MOTjust pretend .
  7. INVthank you very much .
    CHIme Anna tea .
    MOT*MOT: that's an orange , Ruth .
    INVmmm lovely .
    CHIhuh ?

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_II4.41
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/ruth14b.chaRuth 2;4.011,586774.41

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. ruth7 · 100.0%