PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

2.96 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (463 utterances, 2,026 words searched).

  1. you've got two men now , haven't you ? MOT · eng_british_Manchester_II/nic06b.cha, line 221 · Nicole 2;02
  2. two men . MOT · eng_british_Manchester_II/nic06b.cha, line 226 · Nicole 2;02
  3. what follows two ? MOT · eng_british_Manchester_II/nic06b.cha, line 234 · Nicole 2;02
  4. one two . MOT · eng_british_Manchester_II/nic06b.cha, line 242 · Nicole 2;02
  5. there's two . MOT · eng_british_Manchester_II/nic06b.cha, line 267 · Nicole 2;02
  6. two . MOT · eng_british_Manchester_II/nic06b.cha, line 285 · Nicole 2;02
  1. MOThere he is .
    MOThere's the other man , look .
    MOT*MOT: you've got two men now , haven't you ?
    CHItwo men .
    MOTtwo men .
  2. MOTyou've got two men now , haven't you ?
    CHItwo men .
    MOT*MOT: two men .
    MOTand one more makes +...
    CHI++ two .
  3. MOTand one more makes +...
    CHI++ two .
    MOT*MOT: what follows two ?
    CHIthree .
    MOTthree .
  4. MOTthree .
    MOTgood girl .
    MOT*MOT: one two .
    CHIthree .
    MOTthree .
  5. CHIthere .
    MOTthere's one .
    MOT*MOT: there's two .
    MOThave you got three ?
    CHIno .
  6. CHIxxx .
    MOTone .
    MOT*MOT: two .
    CHItwo .
    CHIout .

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_II2.96
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic06b.chaNicole 2;2.122,026662.96

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. two6 · 100.0%