PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.02 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (562 utterances, 1,988 words searched).

  1. how old are you ? MOT · eng_british_Manchester_I/becky29a.cha, line 1381 · Becky 2;10
  2. how old are you ? MOT · eng_british_Manchester_I/becky29a.cha, line 1385 · Becky 2;10
  3. how old are you ? MOT · eng_british_Manchester_I/becky29a.cha, line 1391 · Becky 2;10
  4. so you're nearly that old . MOT · eng_british_Manchester_I/becky29a.cha, line 1412 · Becky 2;10
  5. you're that old at the moment . MOT · eng_british_Manchester_I/becky29a.cha, line 1415 · Becky 2;10
  6. and you're nearly that old . MOT · eng_british_Manchester_I/becky29a.cha, line 1423 · Becky 2;10
  1. eng_british_Manchester_I/becky29a.cha, line 1381 · Becky, 2;10.11
    MOTpardon ?
    CHIhow am I ?
    MOT*MOT: how old are you ?
    CHIyeah .
    MOThow old are you ?
  2. eng_british_Manchester_I/becky29a.cha, line 1385 · Becky, 2;10.11
    MOThow old are you ?
    CHIyeah .
    MOT*MOT: how old are you ?
    CHII don't know .
    MOTwhat did I tell you this morning ?
  3. eng_british_Manchester_I/becky29a.cha, line 1391 · Becky, 2;10.11
    CHII don't know .
    MOTwhat did I tell you this morning ?
    MOT*MOT: how old are you ?
    CHItwo .
    MOTyou are two .
  4. eng_british_Manchester_I/becky29a.cha, line 1412 · Becky, 2;10.11
    MOTit is .
    MOTyes .
    MOT*MOT: so you're nearly that old .
    MOTyou're that old at the moment .
    MOTthat's two .
  5. eng_british_Manchester_I/becky29a.cha, line 1415 · Becky, 2;10.11
    MOTyes .
    MOTso you're nearly that old .
    MOT*MOT: you're that old at the moment .
    MOTthat's two .
    CHIyes .
  6. eng_british_Manchester_I/becky29a.cha, line 1423 · Becky, 2;10.11
    CHIyes .
    CHIyes .
    MOT*MOT: and you're nearly that old .
    MOTnearly three .
    CHIyeah .

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_I3.02
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky29a.chaBecky 2;10.111,988663.02

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. old6 · 100.0%