PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

3.36 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (341 utterances, 1,190 words searched).

  1. poor Sukie . MOT · eng_british_Manchester_I/becky15b.cha, line 1022 · Becky 2;05
  2. poor Sukie . MOT · eng_british_Manchester_I/becky15b.cha, line 1024 · Becky 2;05
  3. are you okay , Sukie ? MOT · eng_british_Manchester_I/becky15b.cha, line 1044 · Becky 2;05
  4. I don't think I fancy Sukie licking my nose either . MOT · eng_british_Manchester_I/becky15b.cha, line 1354 · Becky 2;05
  1. CHIoh .
    CHIxxx .
    MOT*MOT: poor Sukie .
    MOTpoor Sukie .
    MOThe's very very cold , isn't he ?
  2. CHIxxx .
    MOTpoor Sukie .
    MOT*MOT: poor Sukie .
    MOThe's very very cold , isn't he ?
    CHIhe's coming on knee .
  3. CHISukie's made [/] Sukie made you better and washed .
    INVand washed .
    MOT*MOT: are you okay , Sukie ?
    CHIare you okay , Sukie ?
    CHISukie's [*] want to sit on knee ?
  4. CHIit's xxx .
    MOTyeah .
    MOT*MOT: I don't think I fancy Sukie licking my nose either .
    CHIhave some orange .
    MOToh .

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. Becky eng_british_Manchester_I3.36
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky15b.chaBecky 2;5.011,190443.36

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. sukie4 · 100.0%