PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.24 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (598 utterances, 2,236 words searched).

  1. get dry . MOT · eng_british_Manchester_I/anne17b.cha, line 960 · Anne 2;03
  2. dry her . MOT · eng_british_Manchester_I/anne17b.cha, line 964 · Anne 2;03
  3. you're all dry . MOT · eng_british_Manchester_I/anne17b.cha, line 970 · Anne 2;03
  4. is your hair dry ? MOT · eng_british_Manchester_I/anne17b.cha, line 972 · Anne 2;03
  5. forgot to dry your hair . MOT · eng_british_Manchester_I/anne17b.cha, line 976 · Anne 2;03
  1. MOToh .
    MOTquick .
    MOT*MOT: get dry .
    MOTwrap the towel round her .
    MOTdry her .
  2. MOTget dry .
    MOTwrap the towel round her .
    MOT*MOT: dry her .
    MOTthere .
    MOTyou're done .
  3. MOTthere .
    MOTyou're done .
    MOT*MOT: you're all dry .
    MOTis your hair dry ?
    MOToh .
  4. MOTyou're done .
    MOTyou're all dry .
    MOT*MOT: is your hair dry ?
    MOToh .
    MOTforgot to dry your hair .
  5. MOTis your hair dry ?
    MOToh .
    MOT*MOT: forgot to dry your hair .
    MOTnow then .
    MOTnow brush it .

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. Anne eng_british_Manchester_I2.24
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/anne17b.chaAnne 2;3.282,236552.24

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. dry5 · 100.0%