PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.85 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (375 utterances, 1,557 words searched).

  1. pardon ? MOT · eng_british_Manchester_I/becky08a.cha, line 401 · Becky 2;02
  2. pardon ? MOT · eng_british_Manchester_I/becky08a.cha, line 451 · Becky 2;02
  3. pardon ? MOT · eng_british_Manchester_I/becky08a.cha, line 820 · Becky 2;02
  4. pardon ? MOT · eng_british_Manchester_I/becky08a.cha, line 1153 · Becky 2;02
  5. pardon ? MOT · eng_british_Manchester_I/becky08a.cha, line 1443 · Becky 2;02
  6. pardon ? MOT · eng_british_Manchester_I/becky08a.cha, line 1544 · Becky 2;02
  1. MOTsee that was mine .
    CHImore spoon please .
    MOT*MOT: pardon ?
    CHIhands .
    CHImore spoon .
  2. CHIxxx feet .
    CHIwhere 0is [*] brush ?
    MOT*MOT: pardon ?
    CHIwhere 0is [*] brush ?
    MOTthe brush is lost , isn't it ?
  3. MOTyou don't know ?
    CHISukie best .
    MOT*MOT: pardon ?
    CHISukie best .
    MOThe's done what ?
  4. CHIpasta .
    CHIxxx .
    MOT*MOT: pardon ?
    CHIwhy ?
    MOTwhy ?
  5. CHISukie's cat+food .
    CHIthat [* 0's] Sukie [* 0's] cat+food .
    MOT*MOT: pardon ?
    CHISukie's .
    MOTit's Sukie's cat+food ?
  6. MOTon the table .
    MOTxxx .
    MOT*MOT: pardon ?
    CHIxxx .
    MOTshe's finished , has she ?

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_I3.85
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky08a.chaBecky 2;2.221,557663.85

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. pardon6 · 100.0%