PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

3.77 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (655 utterances, 2,390 words searched).

  1. yes . MOT · eng_british_Manchester_II/nic17a.cha, line 364 · Nicole 2;06
  2. oh yes . INV · eng_british_Manchester_II/nic17a.cha, line 387 · Nicole 2;06
  3. yes . MOT · eng_british_Manchester_II/nic17a.cha, line 670 · Nicole 2;06
  4. yes . INV · eng_british_Manchester_II/nic17a.cha, line 679 · Nicole 2;06
  5. yes . INV · eng_british_Manchester_II/nic17a.cha, line 780 · Nicole 2;06
  6. yes . MOT · eng_british_Manchester_II/nic17a.cha, line 1302 · Nicole 2;06
  7. yes . INV · eng_british_Manchester_II/nic17a.cha, line 1316 · Nicole 2;06
  8. yes . MOT · eng_british_Manchester_II/nic17a.cha, line 1370 · Nicole 2;06
  9. oh yes . MOT · eng_british_Manchester_II/nic17a.cha, line 1862 · Nicole 2;06
  1. CHIno .
    CHIno .
    MOT*MOT: yes .
    MOTbecause it's running .
    CHIno no .
  2. MOTyou are being silly .
    MOTwipe your nose and then see if your pizza's cooked .
    INV*INV: oh yes .
    INVpizza .
    MOTlet's wipe your nose and then we cook +//.
  3. CHIwant toast ?
    MOTwant toast ?
    MOT*MOT: yes .
    MOTI'll have some toast if you're going to do Mummy some toast .
    CHICaroline .
  4. CHICaroline .
    INVand Caroline .
    INV*INV: yes .
    INVI want some toast too please .
    CHIand Nicole .
  5. CHIright .
    INVthank you .
    INV*INV: yes .
    INVthat's better .
    MOTmmm .
  6. MOTyeah .
    INVwe can go downstairs if you want to .
    MOT*MOT: yes .
    MOTthat would be nice , wouldn't it ?
    CHIupstairs .
  7. INVoh .
    INVupstairs .
    INV*INV: yes .
    MOTupstairs .
    MOTyeah .
  8. MOTvery nice .
    CHIcut them up again .
    MOT*MOT: yes .
    MOTif you want to .
    MOTcut them up again .
  9. MOTare you sure ?
    MOTcan I have a look ?
    MOT*MOT: oh yes .
    MOTit's still there .
    MOTmmhm .

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_II3.77
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic17a.chaNicole 2;6.162,390993.77

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. yes9 · 100.0%