PHPCLANCHILDES with regular expressions

6 matches in 3 utterances

5.50 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (294 utterances, 1,090 words searched).

  1. that's hot . MOT · eng_british_Manchester_II/liz23a.cha, line 250 · Liz 2;06
  2. it's very hot today . MOT · eng_british_Manchester_II/liz23a.cha, line 260 · Liz 2;06
  3. <hot hot hot> [/] hot . MOT · eng_british_Manchester_II/liz23a.cha, line 264 · Liz 2;06
  4. <hot hot hot> [/] hot . MOT · eng_british_Manchester_II/liz23a.cha, line 264 · Liz 2;06
  5. <hot hot hot> [/] hot . MOT · eng_british_Manchester_II/liz23a.cha, line 264 · Liz 2;06
  6. <hot hot hot> [/] hot . MOT · eng_british_Manchester_II/liz23a.cha, line 264 · Liz 2;06
  1. MOTyeah .
    MOTthat's the radiator .
    MOT*MOT: that's hot .
    CHIjust touch [*] on my knees hot .
    MOTyes .
  2. CHImy knee hot .
    MOTyou've got to be careful .
    MOT*MOT: it's very hot today .
    CHIhot .
    MOT<hot hot hot> [/] hot .
  3. MOTit's very hot today .
    CHIhot .
    MOT*MOT: <hot hot hot> [/] hot .
    MOToh: .
    CHIdo Ring_a_roses .

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. Liz eng_british_Manchester_II5.50
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/liz23a.chaLiz 2;6.261,090365.50

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. hot6 · 100.0%