PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.53 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (294 utterances, 1,184 words searched).

  1. you made a good cup of coffee there . MOT · eng_british_Manchester_II/liz32a.cha, line 805 · Liz 2;09
  2. a cup of coffee . INV · eng_british_Manchester_II/liz32a.cha, line 953 · Liz 2;09
  3. has it got any coffee left in it now ? INV · eng_british_Manchester_II/liz32a.cha, line 1000 · Liz 2;09
  1. eng_british_Manchester_II/liz32a.cha, line 805 · Liz, 2;9.25
    MOTta .
    MOToh that's nice that .
    MOT*MOT: you made a good cup of coffee there .
    MOTlovely .
    CHIdrink it all up .
  2. eng_british_Manchester_II/liz32a.cha, line 953 · Liz, 2;9.25
    INVwhat's that ?
    CHIer a cup of coffee .
    INV*INV: a cup of coffee .
    INVoh lovely .
    INVcan I drink it yet ?
  3. eng_british_Manchester_II/liz32a.cha, line 1000 · Liz, 2;9.25
    CHIthere you are .
    INVoh thank you .
    INV*INV: has it got any coffee left in it now ?
    CHIit just rolled away .
    CHIjust rolled away 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. Liz eng_british_Manchester_II2.53
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/liz32a.chaLiz 2;9.251,184332.53

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. coffee3 · 100.0%