PHPCLANCHILDES with regular expressions

11 matches in 11 utterances

5.36 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (531 utterances, 2,054 words searched).

  1. what's going away ? MOT · eng_british_Manchester_II/nic07a.cha, line 27 · Nicole 2;02
  2. and what's this teddy+bear's name ? MOT · eng_british_Manchester_II/nic07a.cha, line 59 · Nicole 2;02
  3. what's his name ? MOT · eng_british_Manchester_II/nic07a.cha, line 70 · Nicole 2;02
  4. what's that you just put away ? MOT · eng_british_Manchester_II/nic07a.cha, line 937 · Nicole 2;02
  5. what's that ? MOT · eng_british_Manchester_II/nic07a.cha, line 943 · Nicole 2;02
  6. what's in there ? MOT · eng_british_Manchester_II/nic07a.cha, line 1740 · Nicole 2;02
  7. what's in there , Nicole ? MOT · eng_british_Manchester_II/nic07a.cha, line 1742 · Nicole 2;02
  8. what's that ? MOT · eng_british_Manchester_II/nic07a.cha, line 1797 · Nicole 2;02
  9. what's that ? MOT · eng_british_Manchester_II/nic07a.cha, line 1809 · Nicole 2;02
  10. what's this ? MOT · eng_british_Manchester_II/nic07a.cha, line 1840 · Nicole 2;02
  11. what's this , Nicole ? MOT · eng_british_Manchester_II/nic07a.cha, line 1844 · Nicole 2;02
  1. eng_british_Manchester_II/nic07a.cha, line 27 · Nicole, 2;2.27
    CHIaway .
    MOTaway ?
    MOT*MOT: what's going away ?
    MOTall your toys ?
    CHIxxx .
  2. eng_british_Manchester_II/nic07a.cha, line 59 · Nicole, 2;2.27
    MOTneigh@o ?
    MOTthat's a good name for a horse , isn't it ?
    MOT*MOT: and what's this teddy+bear's name ?
    MOTthis big one .
    MOTwhat do you call him ?
  3. eng_british_Manchester_II/nic07a.cha, line 70 · Nicole, 2;2.27
    MOThas he got a name ?
    CHIyeah .
    MOT*MOT: what's his name ?
    CHIum +...
    CHI+, Coffee .
  4. eng_british_Manchester_II/nic07a.cha, line 937 · Nicole, 2;2.27
    CHIyeah .
    CHIlater .
    MOT*MOT: what's that you just put away ?
    CHIhuh ?
    MOTwhat was it ?
  5. eng_british_Manchester_II/nic07a.cha, line 943 · Nicole, 2;2.27
    CHIhuh ?
    MOTwhat was it ?
    MOT*MOT: what's that ?
    MOTxxx .
    MOTxxx , look .
  6. eng_british_Manchester_II/nic07a.cha, line 1740 · Nicole, 2;2.27
    CHIyeah .
    MOToh .
    MOT*MOT: what's in there ?
    MOTwhat's in there , Nicole ?
    CHIlook .
  7. eng_british_Manchester_II/nic07a.cha, line 1742 · Nicole, 2;2.27
    MOToh .
    MOTwhat's in there ?
    MOT*MOT: what's in there , Nicole ?
    CHIlook .
    MOTbooks .
  8. eng_british_Manchester_II/nic07a.cha, line 1797 · Nicole, 2;2.27
    CHIxxx .
    CHINicole .
    MOT*MOT: what's that ?
    CHIhouse .
    MOThouse .
  9. eng_british_Manchester_II/nic07a.cha, line 1809 · Nicole, 2;2.27
    CHIxxx .
    CHI&a red .
    MOT*MOT: what's that ?
    CHIapple .
    MOTapple .
  10. eng_british_Manchester_II/nic07a.cha, line 1840 · Nicole, 2;2.27
    CHItwo three four five .
    INVwww .
    MOT*MOT: what's this ?
    CHItwo three four five .
    MOTwhat's this , Nicole ?
  11. eng_british_Manchester_II/nic07a.cha, line 1844 · Nicole, 2;2.27
    MOTwhat's this ?
    CHItwo three four five .
    MOT*MOT: what's this , Nicole ?
    CHItwo three four five .
    CHIxxx .

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_II5.36
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic07a.chaNicole 2;2.272,05411115.36

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. what's11 · 100.0%