PHPCLANCHILDES with regular expressions

10 matches in 10 utterances

3.86 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (898 utterances, 2,592 words searched).

  1. un, aru naa . %mov:"30001"_615992_617308 FAT · japanese_ishii/30001.cha, line 348 · Jun 3;00
  2. magaru toko aru ka ? %mov:"30001"_915788_916709 FAT · japanese_ishii/30001.cha, line 519 · Jun 3;00
  3. koko ni aru yaro ? %mov:"30001"_1250571_1251425 FAT · japanese_ishii/30001.cha, line 690 · Jun 3;00
  4. kotchi mo aru yaro ? %mov:"30001"_1453575_1454527 FAT · japanese_ishii/30001.cha, line 791 · Jun 3;00
  5. shippo [<] ga aru yan ka . %mov:"30001"_1507418_1509715 FAT · japanese_ishii/30001.cha, line 830 · Jun 3;00
  6. doko denki aru no yo . %mov:"30001"_2349760_2350713 FAT · japanese_ishii/30001.cha, line 1293 · Jun 3;00
  7. kon naka [: kono naka] aru ka ? %mov:"30001"_2472391_2476087 FAT · japanese_ishii/30001.cha, line 1356 · Jun 3;00
  8. kon naka [: kono naka] aru ka ? %mov:"30001"_2476087_2477035 FAT · japanese_ishii/30001.cha, line 1357 · Jun 3;00
  9. kon naka [: kono naka] aru ka ? %mov:"30001"_2478250_2479415 FAT · japanese_ishii/30001.cha, line 1359 · Jun 3;00
  10. koko aru yaro, hora ? %mov:"30001"_2562713_2564297 FAT · japanese_ishii/30001.cha, line 1401 · Jun 3;00
  1. CHIun . %mov:"30001"_613825_614775
    CHIsoo ya . %mov:"30001"_614775_615992
    FAT*FAT: un, aru naa . %mov:"30001"_615992_617308
    FATkotchi no hoo wa nani ga an no ? %mov:"30001"_617308_619292
    FATsuwaru toko ka ? %mov:"30001"_619292_621401
  2. FATjidoosha iku toko ka,, koko wa ? %mov:"30001"_910349_913003
    CHImagaru koko [: toko] . %mov:"30001"_913003_915788
    FAT*FAT: magaru toko aru ka ? %mov:"30001"_915788_916709
    CHIxxx yaro ? %mov:"30001"_916709_919113
    FATun . %mov:"30001"_919113_919545
  3. FATkore to issho ya,, kore . %mov:"30001"_1246116_1248900
    CHIchau waa . %mov:"30001"_1248900_1250571
    FAT*FAT: koko ni aru yaro ? %mov:"30001"_1250571_1251425
    CHIchau waa . %mov:"30001"_1251425_1252851
    FATchau ka ? %mov:"30001"_1252851_1253503
  4. FATnan da,, kore . %mov:"30001"_1451811_1452800
    FATRanboorugini . %mov:"30001"_1452800_1453575
    FAT*FAT: kotchi mo aru yaro ? %mov:"30001"_1453575_1454527
    FAThora, kore ya . %mov:"30001"_1454527_1455543
    FATkore nani ? %mov:"30001"_1455543_1456248
  5. FATkono shita, koo natten no,, nani,, kore . %mov:"30001"_1505741_1507418
    CHIee [>] +... %mov:"30001"_1507418_1509715
    FAT*FAT: shippo [<] ga aru yan ka . %mov:"30001"_1507418_1509715
    CHIchau wa . %mov:"30001"_1509715_1510900
    CHIkore eego yaro ! %mov:"30001"_1510900_1513120
  6. FATdore ya . %mov:"30001"_2347365_2347906
    CHIdenki no yatsu ya,, kore . %mov:"30001"_2347906_2349760
    FAT*FAT: doko denki aru no yo . %mov:"30001"_2349760_2350713
    CHIkoko ni aru yan . %mov:"30001"_2350713_2353086
    FATmiehen yan . %mov:"30001"_2353086_2354792
  7. FAThora, kondo Otoosan no ue ya . %mov:"30001"_2469392_2470582
    CHIxxx . %mov:"30001"_2470582_2472391
    FAT*FAT: kon naka [: kono naka] aru ka ? %mov:"30001"_2472391_2476087
    FATkon naka [: kono naka] aru ka ? %mov:"30001"_2476087_2477035
    CHIn ? %mov:"30001"_2477035_2478250
  8. CHIxxx . %mov:"30001"_2470582_2472391
    FATkon naka [: kono naka] aru ka ? %mov:"30001"_2472391_2476087
    FAT*FAT: kon naka [: kono naka] aru ka ? %mov:"30001"_2476087_2477035
    CHIn ? %mov:"30001"_2477035_2478250
    FATkon naka [: kono naka] aru ka ? %mov:"30001"_2478250_2479415
  9. FATkon naka [: kono naka] aru ka ? %mov:"30001"_2476087_2477035
    CHIn ? %mov:"30001"_2477035_2478250
    FAT*FAT: kon naka [: kono naka] aru ka ? %mov:"30001"_2478250_2479415
    FATnai naa . %mov:"30001"_2479415_2480075
    FATdoko itta ? %mov:"30001"_2480075_2481305
  10. CHIxxx hitotsu . %mov:"30001"_2559912_2561052
    FATraito [= light] ga nai yaro,, sore wa ? %mov:"30001"_2561052_2562713
    FAT*FAT: koko aru yaro, hora ? %mov:"30001"_2562713_2564297
    FATxxx [>] . %mov:"30001"_2564297_2566662
    CHIkore [<] ga nakunaru yuuten ne .%mov:"30001"_2564297_2566662

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. Jun japanese_ishii3.86
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/30001.chaJun 3;0.012,59210103.86

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. aru10 · 100.0%