PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

2.25 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (526 utterances, 1,777 words searched).

  1. he has crashed already . MOT · eng_british_Manchester_I/gail04a.cha, line 361 · Gail 2;00
  2. but he hasn't yet , has he ? MOT · eng_british_Manchester_I/gail04a.cha, line 669 · Gail 2;00
  3. has Thomas broken down ? MOT · eng_british_Manchester_I/gail04a.cha, line 915 · Gail 2;00
  4. he has a face , hasn't he ? MOT · eng_british_Manchester_I/gail04a.cha, line 1448 · Gail 2;00
  1. MOTyes [>] .
    CHIcrashed [<] .
    MOT*MOT: he has crashed already .
    MOTwhat face does Thomas make when he crashes ?
    MOTthat's right .
  2. CHIno .
    MOTDaddy keeps saying he'll glue it .
    MOT*MOT: but he hasn't yet , has he ?
    CHIThomas go .
    CHIThomas go .
  3. CHIfixing Thomas .
    CHIfixing Thomas .
    MOT*MOT: has Thomas broken down ?
    CHIno .
    MOToh .
  4. MOTwhat's he look like ?
    MOThere's a hat .
    MOT*MOT: he has a face , hasn't he ?
    CHIyeah .
    MOTand a really big nose , doesn't he like that ?

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_I2.25
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/gail04a.chaGail 2;0.251,777442.25

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. has4 · 100.0%