PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.45 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (334 utterances, 1,226 words searched).

  1. one two three four five six seven eight nine . MOT · eng_british_Manchester_I/becky30a.cha, line 1300 · Becky 2;10
  2. we need to write eight in that box , don't we because he (i)s holding +//. MOT · eng_british_Manchester_I/becky30a.cha, line 1380 · Becky 2;10
  3. and we go two three four five six seven eight nine ten . MOT · eng_british_Manchester_I/becky30a.cha, line 1679 · Becky 2;10
  1. eng_british_Manchester_I/becky30a.cha, line 1300 · Becky, 2;10.12
    MOTyeah .
    MOTthat's almost right , Becky .
    MOT*MOT: one two three four five six seven eight nine .
    MOThe's holding nine lollipops .
    MOTcome on then .
  2. eng_british_Manchester_I/becky30a.cha, line 1380 · Becky, 2;10.12
    MOToh .
    MOTwell .
    MOT*MOT: we need to write eight in that box , don't we because he (i)s holding +//.
    MOToh no .
    MOTnine , wasn't it ?
  3. eng_british_Manchester_I/becky30a.cha, line 1679 · Becky, 2;10.12
    MOT+, is join up the numbers .
    MOTso we start from one .
    MOT*MOT: and we go two three four five six seven eight nine ten .
    MOTcan you see what that is now ?
    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_I2.45
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky30a.chaBecky 2;10.121,226332.45

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. eight3 · 100.0%