PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.42 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (534 utterances, 2,049 words searched).

  1. and what else +//. MOT · eng_british_Manchester_II/nic05b.cha, line 71 · Nicole 2;02
  2. is someone else gonna [: going to] go now ? INV · eng_british_Manchester_II/nic05b.cha, line 440 · Nicole 2;02
  3. shall we build something else then ? INV · eng_british_Manchester_II/nic05b.cha, line 491 · Nicole 2;02
  4. who else has got a red car ? MOT · eng_british_Manchester_II/nic05b.cha, line 774 · Nicole 2;02
  5. and who else has got a red car ? MOT · eng_british_Manchester_II/nic05b.cha, line 778 · Nicole 2;02
  6. no , who else ? MOT · eng_british_Manchester_II/nic05b.cha, line 785 · Nicole 2;02
  7. what else is in there ? MOT · eng_british_Manchester_II/nic05b.cha, line 861 · Nicole 2;02
  1. MOThelicopter .
    MOThelicopter .
    MOT*MOT: and what else +//.
    MOToh a car , look .
    MOTdo you think Panda goes in that car ?
  2. INVthere he goes .
    CHIxxx go .
    INV*INV: is someone else gonna [: going to] go now ?
    CHIyeah .
    CHIthere .
  3. INVwhoops xxx tumbling down .
    MOToh dear .
    INV*INV: shall we build something else then ?
    CHIthat .
    INVwhat's that ?
  4. MOTshe's xxx red car , isn't she ?
    CHIred car .
    MOT*MOT: who else has got a red car ?
    CHINana .
    MOTand who else has got a red car ?
  5. MOTwho else has got a red car ?
    CHINana .
    MOT*MOT: and who else has got a red car ?
    CHIxxx .
    MOTno , who else ?
  6. MOTand who else has got a red car ?
    CHIxxx .
    MOT*MOT: no , who else ?
    MOTDaddy's got a red car , hasn't he ?
    CHIno way .
  7. MOTcheese , good girl .
    MOTthere , fully clothed now .
    MOT*MOT: what else is in there ?
    MOTwhat would panda like to eat ?
    MOTpanda would like # an egg .

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_II3.42
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic05b.chaNicole 2;2.052,049773.42

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. else7 · 100.0%