PHPCLANCHILDES with regular expressions

12 matches in 12 utterances

10.20 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (319 utterances, 1,176 words searched).

  1. this one's brown and white . MOT · eng_british_Manchester_II/john20b.cha, line 83 · John 2;05
  2. this one's the bull . MOT · eng_british_Manchester_II/john20b.cha, line 96 · John 2;05
  3. who's this having a ride ? MOT · eng_british_Manchester_II/john20b.cha, line 325 · John 2;05
  4. what's this little tiger doing ? MOT · eng_british_Manchester_II/john20b.cha, line 433 · John 2;05
  5. come this way . MOT · eng_british_Manchester_II/john20b.cha, line 567 · John 2;05
  6. come this way . MOT · eng_british_Manchester_II/john20b.cha, line 569 · John 2;05
  7. can I do this one instead ? MOT · eng_british_Manchester_II/john20b.cha, line 784 · John 2;05
  8. now this one's a bit messy because <I think it's> [//] I think it got a bit +/… MOT · eng_british_Manchester_II/john20b.cha, line 925 · John 2;05
  9. who's this ? MOT · eng_british_Manchester_II/john20b.cha, line 1116 · John 2;05
  10. who's this ? MOT · eng_british_Manchester_II/john20b.cha, line 1199 · John 2;05
  11. and who was this ? MOT · eng_british_Manchester_II/john20b.cha, line 1207 · John 2;05
  12. who is this ? MOT · eng_british_Manchester_II/john20b.cha, line 1209 · John 2;05
  1. MOTmmhm .
    MOTthey're different colors .
    MOT*MOT: this one's brown and white .
    MOTand these are black and white .
    CHIbull .
  2. CHIwhere [/] where's the bull ?
    MOTwell you've got the bull in your hand .
    MOT*MOT: this one's the bull .
    MOTit's got the horns .
    CHIbull 0is [*] asleep .
  3. CHImmhm .
    CHIa ride .
    MOT*MOT: who's this having a ride ?
    CHIoh .
    CHIbroken .
  4. MOTfinished .
    MOTgood .
    MOT*MOT: what's this little tiger doing ?
    MOTis he having a drink ?
    CHIoff on a ride .
  5. MOThere .
    MOTJohn .
    MOT*MOT: come this way .
    MOTcome this way .
    MOTyou're like a monster out of Starwars .
  6. MOTJohn .
    MOTcome this way .
    MOT*MOT: come this way .
    MOTyou're like a monster out of Starwars .
    MOTgive it to me .
  7. CHIno .
    MOTgo on .
    MOT*MOT: can I do this one instead ?
    CHI<no no no no> [/] no .
    MOT<no no no> [/] no .
  8. CHIoh: rocket .
    CHIoh yes .
    MOT*MOT: now this one's a bit messy because <I think it's> [//] I think it got a bit +//.
    MOTeat it in here please .
    MOTin there .
  9. MOTwww .
    CHIoh hello .
    MOT*MOT: who's this ?
    CHIhello .
    MOTwww .
  10. MOThe'll get your fingers .
    MOTwho else was there ?
    MOT*MOT: who's this ?
    CHIhello .
    MOThello .
  11. MOThello .
    MOTa little furry mouse .
    MOT*MOT: and who was this ?
    MOTwho is this ?
  12. MOTa little furry mouse .
    MOTand who was this ?
    MOT*MOT: who is this ?

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. John eng_british_Manchester_II10.20
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/john20b.chaJohn 2;5.271,176121210.20

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. this12 · 100.0%