PHPCLANCHILDES with regular expressions

11 matches in 11 utterances

8.96 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (465 utterances, 1,228 words searched).

  1. nan ya,, sore ? %mov:"30523"_550338_551287 FAT · japanese_ishii/30523.cha, line 261 · Jun 3;05
  2. nikaime tte nan ya . %mov:"30523"_670891_671983 FAT · japanese_ishii/30523.cha, line 299 · Jun 3;05
  3. nan desu ka ? %mov:"30523"_920018_921090 FAT · japanese_ishii/30523.cha, line 428 · Jun 3;05
  4. nan yaro,, sore [<] ? %mov:"30523"_1245667_1247088 FAT · japanese_ishii/30523.cha, line 515 · Jun 3;05
  5. nan ya,, sore . %mov:"30523"_1323879_1324464 FAT · japanese_ishii/30523.cha, line 539 · Jun 3;05
  6. nan da ? %mov:"30523"_1583664_1586006 FAT · japanese_ishii/30523.cha, line 611 · Jun 3;05
  7. sore nan da ? %mov:"30523"_1722029_1725671 FAT · japanese_ishii/30523.cha, line 647 · Jun 3;05
  8. nan da . %mov:"30523"_1783887_1784656 FAT · japanese_ishii/30523.cha, line 678 · Jun 3;05
  9. nan da . %mov:"30523"_1787961_1789739 FAT · japanese_ishii/30523.cha, line 680 · Jun 3;05
  10. nan ya . %mov:"30523"_2380188_2381290 FAT · japanese_ishii/30523.cha, line 929 · Jun 3;05
  11. nan ya,, sore . %mov:"30523"_2920455_2921449 FAT · japanese_ishii/30523.cha, line 1163 · Jun 3;05
  1. CHInani,, kore ? %mov:"30523"_541496_548318
    CHInani,, kore ? %mov:"30523"_548318_550338
    FAT*FAT: nan ya,, sore ? %mov:"30523"_550338_551287
    CHIa, kore . %mov:"30523"_551287_554280
    CHIdendedeen@o . %mov:"30523"_554280_562233
  2. CHIhata mitai ya . %mov:"30523"_664061_666285
    CHIhora, nikaime [?] # mi [//] nikaime shiten ne . %mov:"30523"_666285_670891
    FAT*FAT: nikaime tte nan ya . %mov:"30523"_670891_671983
    CHIhora, nikai ya . %mov:"30523"_671983_674946
    CHInikai ya,, kotchi . %mov:"30523"_674946_676233
  3. FATnani,, kyoohin te ? %mov:"30523"_917720_918862
    CHIxxx . %mov:"30523"_918862_920018
    FAT*FAT: nan desu ka ? %mov:"30523"_920018_921090
    CHImata matchi tsuken no ka ? %mov:"30523"_921090_923692
    FATun . %mov:"30523"_923692_924347
  4. CHInani,, kore ? %mov:"30523"_1244899_1245667
    CHInaosu no [>] . %mov:"30523"_1245667_1247088
    FAT*FAT: nan yaro,, sore [<] ? %mov:"30523"_1245667_1247088
    CHInaosu no . %mov:"30523"_1247088_1248122
    FATsoo ka ? %mov:"30523"_1248122_1248954
  5. FATnani ga atta ? %mov:"30523"_1317872_1319933
    CHIpuwanpuwambuwaan@o . %mov:"30523"_1319933_1323879
    FAT*FAT: nan ya,, sore . %mov:"30523"_1323879_1324464
    CHIjishaku . %mov:"30523"_1324464_1326309
    FATe ? %mov:"30523"_1326309_1326934
  6. CHIhora, mite, hora, hora . %mov:"30523"_1578032_1583116
    CHImite . %mov:"30523"_1583116_1583664
    FAT*FAT: nan da ? %mov:"30523"_1583664_1586006
    CHIhora, maatteitta [: mawatteitta] . %mov:"30523"_1586006_1588321
    FATmaatteitta ka ? %mov:"30523"_1588321_1589013
  7. CHIkoko ni . %mov:"30523"_1717790_1719697
    CHIkore mite mi . %mov:"30523"_1719697_1722029
    FAT*FAT: sore nan da ? %mov:"30523"_1722029_1725671
    CHIjidoosha no na nai xxx . %mov:"30523"_1725671_1729146
    FATe ? %mov:"30523"_1729146_1730275
  8. CHIxxx # mite . %mov:"30523"_1774635_1780862
    CHIhora, mite . %mov:"30523"_1780862_1783887
    FAT*FAT: nan da . %mov:"30523"_1783887_1784656
    CHIhoaan@o, hora, mite . %mov:"30523"_1784656_1787961
    FATnan da . %mov:"30523"_1787961_1789739
  9. FATnan da . %mov:"30523"_1783887_1784656
    CHIhoaan@o, hora, mite . %mov:"30523"_1784656_1787961
    FAT*FAT: nan da . %mov:"30523"_1787961_1789739
    CHIa, taoreteshimota [: taoreteshimatta] . %mov:"30523"_1789739_1805950
    FAThikkurikaetta . %mov:"30523"_1805950_1807081
  10. CHIare ? %mov:"30523"_2374576_2376475
    CHInani totta n ya de,, kore . %mov:"30523"_2376475_2380188
    FAT*FAT: nan ya . %mov:"30523"_2380188_2381290
    FATrego no ya . %mov:"30523"_2381290_2381907
    CHInande kore # mittsu taiya ga an nyaro . %mov:"30523"_2381907_2386649
  11. CHItanku xxx . %mov:"30523"_2917367_2919072
    CHIhora . %mov:"30523"_2919072_2920455
    FAT*FAT: nan ya,, sore . %mov:"30523"_2920455_2921449
    CHIkoko naa, tanku mitai . %mov:"30523"_2921449_2923518
    FATtanku mitai ka ? %mov:"30523"_2923518_2924349

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_ishii8.96
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/30523.chaJun 3;05.231,22811118.96

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. nan11 · 100.0%