PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

5.99 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (457 utterances, 1,502 words searched).

  1. who's this ? MOT · eng_british_Manchester_I/becky01b.cha, line 63 · Becky 2;00
  2. who's this ? MOT · eng_british_Manchester_I/becky01b.cha, line 79 · Becky 2;00
  3. who's this ? MOT · eng_british_Manchester_I/becky01b.cha, line 84 · Becky 2;00
  4. and who's this ? MOT · eng_british_Manchester_I/becky01b.cha, line 114 · Becky 2;00
  5. who's this ? MOT · eng_british_Manchester_I/becky01b.cha, line 150 · Becky 2;00
  6. who's this ? MOT · eng_british_Manchester_I/becky01b.cha, line 232 · Becky 2;00
  7. who's this ? MOT · eng_british_Manchester_I/becky01b.cha, line 1415 · Becky 2;00
  8. who's standing up ? MOT · eng_british_Manchester_I/becky01b.cha, line 1578 · Becky 2;00
  9. who's standing up ? MOT · eng_british_Manchester_I/becky01b.cha, line 1585 · Becky 2;00
  1. INVwww .
    MOToh .
    MOT*MOT: who's this ?
    CHIelephant .
    MOTan elephant .
  2. MOTthese are like yours xxx but more different ones .
    CHIum +/.
    MOT*MOT: who's this ?
    CHIxxx .
    MOTwho's this ?
  3. MOTwho's this ?
    CHIxxx .
    MOT*MOT: who's this ?
    CHIhippo .
    MOTa hippo ?
  4. CHIxxx .
    CHIin there .
    MOT*MOT: and who's this ?
    CHIpenguin there .
    MOTpenguin ?
  5. CHIyeah .
    MOToh Becky .
    MOT*MOT: who's this ?
    CHIa monkey .
    MOTmonkey .
  6. MOTis it ?
    CHIyeah .
    MOT*MOT: who's this ?
    MOTwhat's that, Becky ?
    CHIa banana .
  7. MOThe's a tiger, isn't he ?
    MOTand what about him ?
    MOT*MOT: who's this ?
    CHIPingu .
    MOTPingu ?
  8. MOTthey're standing up ?
    CHIyeah .
    MOT*MOT: who's standing up ?
    CHIxxx me .
    CHIstand up .
  9. CHIxxx me .
    CHIstand up .
    MOT*MOT: who's standing up ?
    CHIme .
    MOTyou're standing up ?

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. Becky eng_british_Manchester_I5.99
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky01b.chaBecky 2;0.071,502995.99

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. who's9 · 100.0%