PHPCLANCHILDES with regular expressions

13 matches in 13 utterances

5.72 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (579 utterances, 2,272 words searched).

  1. one . MOT · eng_british_Manchester_II/nic11b.cha, line 426 · Nicole 2;04
  2. xxx red one . MOT · eng_british_Manchester_II/nic11b.cha, line 437 · Nicole 2;04
  3. one two and +... MOT · eng_british_Manchester_II/nic11b.cha, line 439 · Nicole 2;04
  4. there's another one . MOT · eng_british_Manchester_II/nic11b.cha, line 455 · Nicole 2;04
  5. we took one with us as well , didn't we ? MOT · eng_british_Manchester_II/nic11b.cha, line 753 · Nicole 2;04
  6. what about that nice one I got from the library last week ? MOT · eng_british_Manchester_II/nic11b.cha, line 1146 · Nicole 2;04
  7. I know there is one there . MOT · eng_british_Manchester_II/nic11b.cha, line 1213 · Nicole 2;04
  8. shall we read that one ? MOT · eng_british_Manchester_II/nic11b.cha, line 1231 · Nicole 2;04
  9. do you want that one ? MOT · eng_british_Manchester_II/nic11b.cha, line 1257 · Nicole 2;04
  10. that one ? MOT · eng_british_Manchester_II/nic11b.cha, line 1259 · Nicole 2;04
  11. that one ? MOT · eng_british_Manchester_II/nic11b.cha, line 1261 · Nicole 2;04
  12. that one ? MOT · eng_british_Manchester_II/nic11b.cha, line 1263 · Nicole 2;04
  13. that one ? MOT · eng_british_Manchester_II/nic11b.cha, line 1271 · Nicole 2;04
  1. CHIxxx .
    CHIone .
    MOT*MOT: one .
    CHItwo .
    MOTtwo .
  2. CHIwhere go ?
    MOTthere's some red ones round here , look .
    MOT*MOT: xxx red one .
    MOTone two and +...
    MOTNicole .
  3. MOTthere's some red ones round here , look .
    MOTxxx red one .
    MOT*MOT: one two and +...
    MOTNicole .
    CHIhmm ?
  4. MOTno .
    MOTthere [/] there is .
    MOT*MOT: there's another one .
    MOTwhat follows two ?
    CHINicole xxx .
  5. MOTwe saw loads of monkeys , didn't we ?
    CHIyeah .
    MOT*MOT: we took one with us as well , didn't we ?
    MOTbrought it back .
    MOTare you a monkey ?
  6. MOTshall we get a book ?
    MOThmm ?
    MOT*MOT: what about that nice one I got from the library last week ?
    MOTabout Willy .
    MOTshall I <read you to> [//] ready Willy to you ?
  7. CHIxxx .
    MOTshall I get you a Postman_Pat book ?
    MOT*MOT: I know there is one there .
    MOTshall I go and have a look ?
    CHImmhm .
  8. MOTWilly_the_Wizard .
    MOTWhat_makes_me_happy .
    MOT*MOT: shall we read that one ?
    MOTWhat_makes_me_happy ?
    MOTno .
  9. MOTno ?
    MOToh .
    MOT*MOT: do you want that one ?
    MOTthat one ?
    MOTthat one ?
  10. MOToh .
    MOTdo you want that one ?
    MOT*MOT: that one ?
    MOTthat one ?
    MOTthat one ?
  11. MOTdo you want that one ?
    MOTthat one ?
    MOT*MOT: that one ?
    MOTthat one ?
    CHIno .
  12. MOTthat one ?
    MOTthat one ?
    MOT*MOT: that one ?
    CHIno .
    MOTdo you want a book ?
  13. MOTdo you want a book ?
    MOThere you are .
    MOT*MOT: that one ?
    CHIno .
    MOTwhat about +...

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_II5.72
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic11b.chaNicole 2;4.182,27213135.72

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. one13 · 100.0%