PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.52 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (591 utterances, 1,988 words searched).

  1. Becky Dodson . MOT · eng_british_Manchester_I/becky02a.cha, line 1010 · Becky 2;00
  2. because xxx letter d@l for Dodson . MOT · eng_british_Manchester_I/becky02a.cha, line 1096 · Becky 2;00
  3. it says Becky Dodson . MOT · eng_british_Manchester_I/becky02a.cha, line 1103 · Becky 2;00
  4. that doesn't say Becky Dodson . MOT · eng_british_Manchester_I/becky02a.cha, line 1118 · Becky 2;00
  5. this says Becky Dodson . MOT · eng_british_Manchester_I/becky02a.cha, line 1120 · Becky 2;00
  1. MOTBecky what ?
    CHIDodson .
    MOT*MOT: Becky Dodson .
    INVclever girl .
    CHIa@l .
  2. MOTright .
    MOTput it here then .
    MOT*MOT: because xxx letter d@l for Dodson .
    MOTthere .
    MOTthat says your name there, Becky .
  3. MOTthere .
    MOTthat says your name there, Becky .
    MOT*MOT: it says Becky Dodson .
    MOTis that good ?
    CHIyeah .
  4. CHIBecky Dodson .
    MOTno .
    MOT*MOT: that doesn't say Becky Dodson .
    MOTthis says Becky Dodson .
    MOTand these are the numbers .
  5. MOTno .
    MOTthat doesn't say Becky Dodson .
    MOT*MOT: this says Becky Dodson .
    MOTand these are the numbers .
    MOTone .

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_I2.52
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky02a.chaBecky 2;0.141,988552.52

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. dodson5 · 100.0%