PHPCLANCHILDES with regular expressions

13 matches in 13 utterances

6.94 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (454 utterances, 1,874 words searched).

  1. what's he got on his head ? MOT · eng_british_Manchester_II/john02a.cha, line 261 · John 1;11
  2. what's he holding ? MOT · eng_british_Manchester_II/john02a.cha, line 275 · John 1;11
  3. what's he got here ? MOT · eng_british_Manchester_II/john02a.cha, line 277 · John 1;11
  4. what's this ? MOT · eng_british_Manchester_II/john02a.cha, line 340 · John 1;11
  5. what's this thing here ? MOT · eng_british_Manchester_II/john02a.cha, line 365 · John 1;11
  6. what's that ? MOT · eng_british_Manchester_II/john02a.cha, line 367 · John 1;11
  7. and what's left ? MOT · eng_british_Manchester_II/john02a.cha, line 377 · John 1;11
  8. what's this one ? MOT · eng_british_Manchester_II/john02a.cha, line 379 · John 1;11
  9. and what's this ? MOT · eng_british_Manchester_II/john02a.cha, line 943 · John 1;11
  10. now what's this digger ? MOT · eng_british_Manchester_II/john02a.cha, line 997 · John 1;11
  11. what's it got in its arm here ? MOT · eng_british_Manchester_II/john02a.cha, line 1009 · John 1;11
  12. what's it doing ? MOT · eng_british_Manchester_II/john02a.cha, line 1143 · John 1;11
  13. what's this one ? INV · eng_british_Manchester_II/john02a.cha, line 1317 · John 1;11
  1. CHIman .
    MOTit looks like it's just a man that one .
    MOT*MOT: what's he got on his head ?
    CHIhat .
    MOTa hat .
  2. MOTa yellow hat .
    MOTvery good .
    MOT*MOT: what's he holding ?
    MOTwhat's he got here ?
    CHIspade .
  3. MOTvery good .
    MOTwhat's he holding ?
    MOT*MOT: what's he got here ?
    CHIspade .
    MOTspade .
  4. CHIoff .
    MOTokay .
    MOT*MOT: what's this ?
    CHIblue digger .
    MOTit's a blue digger .
  5. CHIyellow digger .
    INVa yellow digger yeah .
    MOT*MOT: what's this thing here ?
    MOTwhat's that ?
    CHIroller .
  6. INVa yellow digger yeah .
    MOTwhat's this thing here ?
    MOT*MOT: what's that ?
    CHIroller .
    MOTa roller .
  7. CHIit's roller .
    INVand a roller .
    MOT*MOT: and what's left ?
    MOTwhat's this one ?
    MOTit's a +/.
  8. INVand a roller .
    MOTand what's left ?
    MOT*MOT: what's this one ?
    MOTit's a +/.
    CHIdumper truck .
  9. CHIbolts .
    MOTbolts .
    MOT*MOT: and what's this ?
    CHIwheel .
    MOTvery good .
  10. MOTtrunk yeah .
    MOTelephants have trunks .
    MOT*MOT: now what's this digger ?
    CHIdirty .
    MOToh: very dirty this one .
  11. MOThe's muddy .
    MOThe's a muddy truck .
    MOT*MOT: what's it got in its arm here ?
    CHIstone .
    MOTmmhm a big stone .
  12. MOTyeah wow .
    MOTit's quite complicated that one , isn't it ?
    MOT*MOT: what's it doing ?
    MOTit's building a road .
    MOTit's making a road .
  13. INVa blue digger .
    INV<yeah it's> [/] yeah it's +//.
    INV*INV: what's this one ?
    CHIblue digger .
    INVa yellow one , isn't it ?

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_II6.94
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/john02a.chaJohn 1;11.291,87413136.94

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's13 · 100.0%