PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.37 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (588 utterances, 2,109 words searched).

  1. and we've got a nice +... MOT · eng_british_Manchester_II/nic01b.cha, line 1375 · Nicole 2;00
  2. is it nice ? MOT · eng_british_Manchester_II/nic01b.cha, line 1385 · Nicole 2;00
  3. is it nice ? MOT · eng_british_Manchester_II/nic01b.cha, line 1387 · Nicole 2;00
  4. is it nice ? MOT · eng_british_Manchester_II/nic01b.cha, line 1391 · Nicole 2;00
  5. does she look nice now ? MOT · eng_british_Manchester_II/nic01b.cha, line 1505 · Nicole 2;00
  1. MOTand the cheese .
    MOTand there's the top .
    MOT*MOT: and we've got a nice +...
    MOTmmm .
    MOTyou have some .
  2. CHIyeah .
    MOTmmm .
    MOT*MOT: is it nice ?
    MOTis it nice ?
    MOTthere .
  3. MOTmmm .
    MOTis it nice ?
    MOT*MOT: is it nice ?
    MOTthere .
    MOTis it nice ?
  4. MOTis it nice ?
    MOTthere .
    MOT*MOT: is it nice ?
    MOTwhat's this then ?
    MOTwhat is it ?
  5. MOTthere .
    MOTthere you go .
    MOT*MOT: does she look nice now ?
    CHIyeah .
    MOTwhat's she got on her head ?

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. Nicole eng_british_Manchester_II2.37
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic01b.chaNicole 2;0.252,109552.37

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. nice5 · 100.0%