PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.44 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (409 utterances, 1,230 words searched).

  1. how many weekends have we been saying that for ? MOT · eng_british_Manchester_I/gail12b.cha, line 117 · Gail 2;03
  2. how are you doing ? MOT · eng_british_Manchester_I/gail12b.cha, line 260 · Gail 2;03
  3. how did that get there ? MOT · eng_british_Manchester_I/gail12b.cha, line 528 · Gail 2;03
  1. eng_british_Manchester_I/gail12b.cha, line 117 · Gail, 2;3.17
    MOTwhat's he chomping at ?
    MOThe's going to have some food this weekend .
    MOT*MOT: how many weekends have we been saying that for ?
    MOThmm ?
    MOTthere .
  2. eng_british_Manchester_I/gail12b.cha, line 260 · Gail, 2;3.17
    CHIgot my skiing [*] on .
    MOTski .
    MOT*MOT: how are you doing ?
    MOTmy word !
    MOTcatch on .
  3. eng_british_Manchester_I/gail12b.cha, line 528 · Gail, 2;3.17
    CHIit's got horse's poo on .
    MOTyuck .
    MOT*MOT: how did that get there ?
    MOTI shouldn't touch it .
    MOTis that when you mucked out the horse ?

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. Gail eng_british_Manchester_I2.44
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/gail12b.chaGail 2;3.171,230332.44

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. how3 · 100.0%