PHPCLANCHILDES with regular expressions

10 matches in 10 utterances

6.76 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (527 utterances, 1,479 words searched).

  1. nan da,, sore ? %mov:"30628"_22803_24030 FAT · japanese_ishii/30628.cha, line 28 · Jun 3;08
  2. nan no shirushi yaro na ? %mov:"30628"_675891_677346 FAT · japanese_ishii/30628.cha, line 372 · Jun 3;08
  3. nan da,, kore wa ? %mov:"30628"_707902_708769 FAT · japanese_ishii/30628.cha, line 383 · Jun 3;08
  4. kore wa nan da ? %mov:"30628"_1058757_1060310 FAT · japanese_ishii/30628.cha, line 545 · Jun 3;08
  5. sore nan da ? %mov:"30628"_1133335_1134604 FAT · japanese_ishii/30628.cha, line 583 · Jun 3;08
  6. kondo wa nan desu ka ? %mov:"30628"_1198280_1208299 FAT · japanese_ishii/30628.cha, line 614 · Jun 3;08
  7. nan no uta ? %mov:"30628"_1573323_1582114 FAT · japanese_ishii/30628.cha, line 788 · Jun 3;08
  8. nan no uta utatten no . %mov:"30628"_1582114_1587313 FAT · japanese_ishii/30628.cha, line 789 · Jun 3;08
  9. kore wa nan ya . %mov:"30628"_2257987_2260035 FAT · japanese_ishii/30628.cha, line 1003 · Jun 3;08
  10. nan ja,, sore wa ? %mov:"30628"_2515937_2519119 FAT · japanese_ishii/30628.cha, line 1080 · Jun 3;08
  1. FATdono hon min no ? %mov:"30628"_16704_18928
    CHIkonna n ga aru . %mov:"30628"_18928_22803
    FAT*FAT: nan da,, sore ? %mov:"30628"_22803_24030
    CHInan desu xxx . %mov:"30628"_24030_25378
    CHIa, Urutoraman Eiti [= 80] . %mov:"30628"_25378_31362
  2. FATmee to chigau na . %mov:"30628"_673482_674609
    FATsore nanka no shirushi ya . %mov:"30628"_674609_675891
    FAT*FAT: nan no shirushi yaro na ? %mov:"30628"_675891_677346
    CHIhora, kore wa hen nan ya . %mov:"30628"_677346_680476
    CHIna . %mov:"30628"_680476_680931
  3. CHIkotchi kara ya . %mov:"30628"_695131_704618
    CHIkonna koko [: toko] ni aru wa . %mov:"30628"_704618_707902
    FAT*FAT: nan da,, kore wa ? %mov:"30628"_707902_708769
    FATwaa, pompusha ya na . %mov:"30628"_708769_713368
    CHIare ? %mov:"30628"_713368_715599
  4. CHIhaai . %mov:"30628"_1056333_1057630
    CHIhora . %mov:"30628"_1057630_1058757
    FAT*FAT: kore wa nan da ? %mov:"30628"_1058757_1060310
    FATkyuujosha . %mov:"30628"_1060310_1061267
    CHIhora, konna haitteru wa . %mov:"30628"_1061267_1063075
  5. FATraito [= light] ya . %mov:"30628"_1128926_1129599
    CHInani kone [: kore] ? %mov:"30628"_1129599_1133335
    FAT*FAT: sore nan da ? %mov:"30628"_1133335_1134604
    CHInan da ? %mov:"30628"_1134604_1135973
    CHIkore tometearu,, kore ishi de . %mov:"30628"_1135973_1139589
  6. CHItakai [//] hikui . %mov:"30628"_1193730_1195112
    CHItaka hiku [?] [/] taka hiku . %mov:"30628"_1195112_1198280
    FAT*FAT: kondo wa nan desu ka ? %mov:"30628"_1198280_1208299
    CHIhyuugakin@o . %mov:"30628"_1208299_1210750
    CHIare ? %mov:"30628"_1210267_1213046
  7. FATkatazuketeiku yuuta yan . %mov:"30628"_1568936_1570853
    FATgohon kichin to katazukenasai . %mov:"30628"_1570853_1573323
    FAT*FAT: nan no uta ? %mov:"30628"_1573323_1582114
    FATnan no uta utatten no . %mov:"30628"_1582114_1587313
    CHIsenro no uta . %mov:"30628"_1587313_1588571
  8. FATgohon kichin to katazukenasai . %mov:"30628"_1570853_1573323
    FATnan no uta ? %mov:"30628"_1573323_1582114
    FAT*FAT: nan no uta utatten no . %mov:"30628"_1582114_1587313
    CHIsenro no uta . %mov:"30628"_1587313_1588571
    FATsonna n senro no uta ? %mov:"30628"_1588571_1590139
  9. CHIkatatsumuri mitai . %mov:"30628"_2254117_2256499
    FATdore ga katatsumuri mitai na ? %mov:"30628"_2256499_2257987
    FAT*FAT: kore wa nan ya . %mov:"30628"_2257987_2260035
    FATyakan ya de . %mov:"30628"_2260035_2260135
    CHIun . %mov:"30628"_2260721_2261772
  10. CHIyuuaauerukon [= you are welcome] . %mov:"30628"_2508126_2510947
    CHIhora . %mov:"30628"_2510947_2515937
    FAT*FAT: nan ja,, sore wa ? %mov:"30628"_2515937_2519119
    CHIjettoki da . %mov:"30628"_2519119_2524706
    CHIhikui yoo ni shitaru wa . %mov:"30628"_2524706_2537319

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_ishii6.76
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/30628.chaJun 3;8.281,47910106.76

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. nan10 · 100.0%