PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

3.87 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (623 utterances, 2,325 words searched).

  1. it's a nice one , isn't it ? MOT · eng_british_Manchester_II/ruth05a.cha, line 369 · Ruth 2;01
  2. very nice . MOT · eng_british_Manchester_II/ruth05a.cha, line 553 · Ruth 2;01
  3. because they're nice and big . MOT · eng_british_Manchester_II/ruth05a.cha, line 771 · Ruth 2;01
  4. very nice . MOT · eng_british_Manchester_II/ruth05a.cha, line 786 · Ruth 2;01
  5. oh that's nice . MOT · eng_british_Manchester_II/ruth05a.cha, line 888 · Ruth 2;01
  6. that's very nice . INV · eng_british_Manchester_II/ruth05a.cha, line 904 · Ruth 2;01
  7. oh is it nice ? MOT · eng_british_Manchester_II/ruth05a.cha, line 1183 · Ruth 2;01
  8. it's very nice . MOT · eng_british_Manchester_II/ruth05a.cha, line 1187 · Ruth 2;01
  9. that's very nice . INV · eng_british_Manchester_II/ruth05a.cha, line 1255 · Ruth 2;01
  1. MOToh xxx .
    MOTwe haven't had this book for a while .
    MOT*MOT: it's a nice one , isn't it ?
    MOTshall we read Danny's duck ?
    MOTno ?
  2. CHIcheese .
    MOTcheese .
    MOT*MOT: very nice .
    MOTcan I have some more please ?
    MOTcan I have some more ?
  3. MOTlook .
    MOTthat's it .
    MOT*MOT: because they're nice and big .
    MOTyou don't need to take them apart .
    MOToh .
  4. MOTvery pretty .
    MOToh .
    MOT*MOT: very nice .
    MOTRuth .
    MOTwhich are the red beads ?
  5. INVthere .
    INVthank you .
    MOT*MOT: oh that's nice .
    MOTthere we go .
    INVoh .
  6. INVthere we go .
    INVthank you .
    INV*INV: that's very nice .
    MOTthank you .
    MOTis she pretty , Ruth ?
  7. MOTtwo potatos .
    MOToh are you +//.
    MOT*MOT: oh is it nice ?
    MOTmmm .
    MOTit's very nice .
  8. MOToh is it nice ?
    MOTmmm .
    MOT*MOT: it's very nice .
    MOTI think we need a plate for it actually .
    MOTshall we get a plate ?
  9. INVmmm .
    INVthank you .
    INV*INV: that's very nice .
    MOTwho's that for ?
    CHIno .

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. Ruth eng_british_Manchester_II3.87
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/ruth05a.chaRuth 2;1.032,325993.87

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. nice9 · 100.0%