PHPCLANCHILDES with regular expressions

17 matches in 17 utterances

11.26 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (641 utterances, 1,510 words searched).

  1. un, basu noru yo . %mov:"20220"_728709_729890 FAT · japanese_ishii/20220.cha, line 527 · Jun 2;02
  2. Jun mo noru ? %mov:"20220"_729890_731121 FAT · japanese_ishii/20220.cha, line 528 · Jun 2;02
  3. Jun mo noru ? %mov:"20220"_734679_735582 FAT · japanese_ishii/20220.cha, line 532 · Jun 2;02
  4. dare to noru ? %mov:"20220"_736355_738066 FAT · japanese_ishii/20220.cha, line 534 · Jun 2;02
  5. Papa to noru ? %mov:"20220"_738066_738066 FAT · japanese_ishii/20220.cha, line 535 · Jun 2;02
  6. basu noru ? %mov:"20220"_744710_745945 FAT · japanese_ishii/20220.cha, line 539 · Jun 2;02
  7. noru ka ? %mov:"20220"_761964_762544 FAT · japanese_ishii/20220.cha, line 549 · Jun 2;02
  8. noru yo [>] . %mov:"20220"_762544_763419 FAT · japanese_ishii/20220.cha, line 550 · Jun 2;02
  9. noru yo . %mov:"20220"_763419_764028 FAT · japanese_ishii/20220.cha, line 552 · Jun 2;02
  10. Jun mo ofune noru ? %mov:"20220"_1014363_1015545 FAT · japanese_ishii/20220.cha, line 720 · Jun 2;02
  11. Jun mo ofune noru ? %mov:"20220"_1016818_1018159 FAT · japanese_ishii/20220.cha, line 722 · Jun 2;02
  12. noru . %mov:"20220"_1018988_1019441 FAT · japanese_ishii/20220.cha, line 725 · Jun 2;02
  13. hikooki noru ? %mov:"20220"_1033549_1035182 FAT · japanese_ishii/20220.cha, line 733 · Jun 2;02
  14. noru ? %mov:"20220"_1562038_1562517 FAT · japanese_ishii/20220.cha, line 1061 · Jun 2;02
  15. un, noru yo . %mov:"20220"_1562517_1563163 FAT · japanese_ishii/20220.cha, line 1062 · Jun 2;02
  16. Papa mo [//] Papa to noru [<] ? %mov:"20220"_1565112_1567141 FAT · japanese_ishii/20220.cha, line 1066 · Jun 2;02
  17. Chaachan to noru ? %mov:"20220"_1572933_1573895 FAT · japanese_ishii/20220.cha, line 1072 · Jun 2;02
  1. FATkono basu non no ? %mov:"20220"_725978_726944
    CHIbashu non no ? %mov:"20220"_726944_728709
    FAT*FAT: un, basu noru yo . %mov:"20220"_728709_729890
    FATJun mo noru ? %mov:"20220"_729890_731121
    CHInoru wa . %mov:"20220"_731121_732517
  2. CHIbashu non no ? %mov:"20220"_726944_728709
    FATun, basu noru yo . %mov:"20220"_728709_729890
    FAT*FAT: Jun mo noru ? %mov:"20220"_729890_731121
    CHInoru wa . %mov:"20220"_731121_732517
    FATe ? %mov:"20220"_732517_733331
  3. FATe ? %mov:"20220"_732517_733331
    CHIJun mo aru wa . %mov:"20220"_733331_734679
    FAT*FAT: Jun mo noru ? %mov:"20220"_734679_735582
    CHInoru . %mov:"20220"_735582_736355
    FATdare to noru ? %mov:"20220"_736355_738066
  4. FATJun mo noru ? %mov:"20220"_734679_735582
    CHInoru . %mov:"20220"_735582_736355
    FAT*FAT: dare to noru ? %mov:"20220"_736355_738066
    FATPapa to noru ? %mov:"20220"_738066_738066
    CHIn ? %mov:"20220"_740675_742020
  5. CHInoru . %mov:"20220"_735582_736355
    FATdare to noru ? %mov:"20220"_736355_738066
    FAT*FAT: Papa to noru ? %mov:"20220"_738066_738066
    CHIn ? %mov:"20220"_740675_742020
    FATPapa to norimasu ka ? %mov:"20220"_742020_743484
  6. FATPapa to norimasu ka ? %mov:"20220"_742020_743484
    CHIn ? %mov:"20220"_743484_744710
    FAT*FAT: basu noru ? %mov:"20220"_744710_745945
    CHIbashu o noru . %mov:"20220"_745945_747907
    FATdore [//] dare to non no ? %mov:"20220"_747907_747907
  7. CHIEeshan [: Neechan] to . %mov:"20220"_759159_761060
    CHInoru ka ? %mov:"20220"_761060_761964
    FAT*FAT: noru ka ? %mov:"20220"_761964_762544
    FATnoru yo [>] . %mov:"20220"_762544_763419
    CHInoru [<] ? %mov:"20220"_762568_763419
  8. CHInoru ka ? %mov:"20220"_761060_761964
    FATnoru ka ? %mov:"20220"_761964_762544
    FAT*FAT: noru yo [>] . %mov:"20220"_762544_763419
    CHInoru [<] ? %mov:"20220"_762568_763419
    FATnoru yo . %mov:"20220"_763419_764028
  9. FATnoru yo [>] . %mov:"20220"_762544_763419
    CHInoru [<] ? %mov:"20220"_762568_763419
    FAT*FAT: noru yo . %mov:"20220"_763419_764028
    CHIkoohii bo +... %mov:"20220"_764028_765889
    CHIakan naa . %mov:"20220"_765889_765889
  10. FATun . %mov:"20220"_1013144_1013144
    CHInaa . %mov:"20220"_1013563_1014363
    FAT*FAT: Jun mo ofune noru ? %mov:"20220"_1014363_1015545
    CHIn ? %mov:"20220"_1015545_1016818
    FATJun mo ofune noru ? %mov:"20220"_1016818_1018159
  11. FATJun mo ofune noru ? %mov:"20220"_1014363_1015545
    CHIn ? %mov:"20220"_1015545_1016818
    FAT*FAT: Jun mo ofune noru ? %mov:"20220"_1016818_1018159
    CHInoru . %mov:"20220"_1018159_1018988
    FATnoru . %mov:"20220"_1018988_1019441
  12. FATJun mo ofune noru ? %mov:"20220"_1016818_1018159
    CHInoru . %mov:"20220"_1018159_1018988
    FAT*FAT: noru . %mov:"20220"_1018988_1019441
    FATdare to noroo . %mov:"20220"_1019441_1020916
    CHIPapa to # Papa to xxx Jun mo . %mov:"20220"_1020916_1024835
  13. CHIhokooki # nai yo . %mov:"20220"_1028833_1032214
    FATa, hikooki nai nee . %mov:"20220"_1032214_1033549
    FAT*FAT: hikooki noru ? %mov:"20220"_1033549_1035182
    CHInai yo . %mov:"20220"_1035182_1037491
    FATe ? %mov:"20220"_1037491_1037945
  14. FATsore mo [>] +... %mov:"20220"_1560304_1562038
    CHInoru nou [: noru] [<] ? %mov:"20220"_1560304_1562038
    FAT*FAT: noru ? %mov:"20220"_1562038_1562517
    FATun, noru yo . %mov:"20220"_1562517_1563163
    FATPapa mo nosete . %mov:"20220"_1563163_1564203
  15. CHInoru nou [: noru] [<] ? %mov:"20220"_1560304_1562038
    FATnoru ? %mov:"20220"_1562038_1562517
    FAT*FAT: un, noru yo . %mov:"20220"_1562517_1563163
    FATPapa mo nosete . %mov:"20220"_1563163_1564203
    CHIna ? %mov:"20220"_1564203_1565112
  16. CHIna ? %mov:"20220"_1564203_1565112
    CHIn [>] ? %mov:"20220"_1565112_1567141
    FAT*FAT: Papa mo [//] Papa to noru [<] ? %mov:"20220"_1565112_1567141
    CHInoru yo . %mov:"20220"_1567141_1568034
    FATyoshi . %mov:"20220"_1568034_1568517
  17. FATe ? %mov:"20220"_1571422_1571967
    CHIChaashan to . %mov:"20220"_1571967_1572933
    FAT*FAT: Chaachan to noru ? %mov:"20220"_1572933_1573895
    CHInoru yo . %mov:"20220"_1573895_1574938
    FATPapa to noro . %mov:"20220"_1574938_1576156

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_ishii11.26
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20220.chaJun 2;2.201,510171711.26

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. noru17 · 100.0%