PHPCLANCHILDES with regular expressions

8 matches in 7 utterances

3.02 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (629 utterances, 2,653 words searched).

  1. Lucy ? MOT · eng_british_Manchester_I/anne10a.cha, line 1649 · Anne 2;01
  2. where's Lucy ? MOT · eng_british_Manchester_I/anne10a.cha, line 1653 · Anne 2;01
  3. is Lucy [//] which Lucy are you talking about ? MOT · eng_british_Manchester_I/anne10a.cha, line 1661 · Anne 2;01
  4. is Lucy [//] which Lucy are you talking about ? MOT · eng_british_Manchester_I/anne10a.cha, line 1661 · Anne 2;01
  5. Lucy at the nursery ? MOT · eng_british_Manchester_I/anne10a.cha, line 1664 · Anne 2;01
  6. are you talking about Lucy the dog ? MOT · eng_british_Manchester_I/anne10a.cha, line 1670 · Anne 2;01
  7. whose dog is Lucy ? MOT · eng_british_Manchester_I/anne10a.cha, line 1677 · Anne 2;01
  8. and who's Lucy's mummy ? MOT · eng_british_Manchester_I/anne10a.cha, line 1687 · Anne 2;01
  1. MOTpardon ?
    CHILucy .
    MOT*MOT: Lucy ?
    CHIyeah .
    MOTwhere's Lucy ?
  2. MOTLucy ?
    CHIyeah .
    MOT*MOT: where's Lucy ?
    CHIxxx garden .
    MOTin the garden ?
  3. MOTin the garden ?
    CHIyeah .
    MOT*MOT: is Lucy [//] which Lucy are you talking about ?
    MOTLucy at the nursery ?
    CHIno .
  4. CHIyeah .
    MOTis Lucy [//] which Lucy are you talking about ?
    MOT*MOT: Lucy at the nursery ?
    CHIno .
    MOTno ?
  5. CHIno .
    MOTno ?
    MOT*MOT: are you talking about Lucy the dog ?
    CHIyeah .
    MOTare you ?
  6. CHIyeah .
    MOTare you ?
    MOT*MOT: whose dog is Lucy ?
    MOTcan you remember ?
    MOTwhose dog is she ?
  7. MOTis she Kirsty and Sean's dog ?
    CHIyeah .
    MOT*MOT: and who's Lucy's mummy ?
    MOTcan you remember ?
    MOTwhoops .

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. Anne eng_british_Manchester_I3.02
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/anne10a.chaAnne 2;1.082,653783.02

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. lucy8 · 100.0%