PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

3.89 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (806 utterances, 2,316 words searched).

  1. kotchi ni doa ga an nya nee . %mov:"30022"_175095_176702 FAT · japanese_ishii/30022.cha, line 95 · Jun 3;00
  2. koko e tsuken nya ro,, denki wa ? %mov:"30022"_1458255_1460075 FAT · japanese_ishii/30022.cha, line 669 · Jun 3;00
  3. kooyuufuu ni tsuken nya ro,, kooyuufuu ni ? %mov:"30022"_1460585_1463955 FAT · japanese_ishii/30022.cha, line 671 · Jun 3;00
  4. kore de ee nya . %mov:"30022"_1696473_1702371 FAT · japanese_ishii/30022.cha, line 771 · Jun 3;00
  5. dakara okashii nya . %mov:"30022"_2124290_2126331 FAT · japanese_ishii/30022.cha, line 969 · Jun 3;00
  6. doko sangashiten nya . %mov:"30022"_3370921_3373444 FAT · japanese_ishii/30022.cha, line 1500 · Jun 3;00
  7. aa, reenkooto kitahan nya,, ame furu kara naa # ame futteru kara . %mov:"30022"_3545103_354833… FAT · japanese_ishii/30022.cha, line 1582 · Jun 3;00
  8. taiya ga iganden [: yugandeiru] nya wa . %mov:"30022"_3650248_3652033 FAT · japanese_ishii/30022.cha, line 1633 · Jun 3;00
  9. taiya ga iganden nya wa . %mov:"30022"_3677452_3678521 FAT · japanese_ishii/30022.cha, line 1650 · Jun 3;00
  1. FATkore ga doa ka . %mov:"30022"_173098_173942
    FATa, honto ya na . %mov:"30022"_173942_175095
    FAT*FAT: kotchi ni doa ga an nya nee . %mov:"30022"_175095_176702
    CHIkotchi mo doa aru wa . %mov:"30022"_176702_178878
    FATarahen [: nai] yan,, doa . %mov:"30022"_178878_180114
  2. CHIdenki ga naa +... %mov:"30022"_1454148_1456275
    FATdenki wa kotchi e tsukena akan ne . %mov:"30022"_1456275_1458255
    FAT*FAT: koko e tsuken nya ro,, denki wa ? %mov:"30022"_1458255_1460075
    FATchigau no ? %mov:"30022"_1460075_1460585
    FATkooyuufuu ni tsuken nya ro,, kooyuufuu ni ? %mov:"30022"_1460585_1463955
  3. FATkoko e tsuken nya ro,, denki wa ? %mov:"30022"_1458255_1460075
    FATchigau no ? %mov:"30022"_1460075_1460585
    FAT*FAT: kooyuufuu ni tsuken nya ro,, kooyuufuu ni ? %mov:"30022"_1460585_1463955
    FATchigau no . %mov:"30022"_1463955_1464504
    CHIsoo . %mov:"30022"_1464504_1465605
  4. CHIun . %mov:"30022"_1691014_1693378
    FATsoo da [/] soo da . %mov:"30022"_1693378_1696473
    FAT*FAT: kore de ee nya . %mov:"30022"_1696473_1702371
    FATkore de akarui . %mov:"30022"_1702371_1704601
    FATnaa ? %mov:"30022"_1704601_1705526
  5. FATiganderu [: yuganderu] wa, hora . %mov:"30022"_2123027_2123787
    FATnaa . %mov:"30022"_2123787_2124290
    FAT*FAT: dakara okashii nya . %mov:"30022"_2124290_2126331
    CHIiganderu [: yuganderu] wa . %mov:"30022"_2126331_2129395
    FATun, sotchi ni ii taiya ga aru desho,, mohitotsu . %mov:"30022"_2129395_2131348
  6. FATkoko yan ka . %mov:"30022"_3366148_3369729
    CHIaa aa a . %mov:"30022"_3369729_3370921
    FAT*FAT: doko sangashiten nya . %mov:"30022"_3370921_3373444
    FATdoko sagashiten ne . %mov:"30022"_3373444_3378882
    CHInande kore kuttsuken no ? %mov:"30022"_3378882_3384003
  7. CHIyuki no gakkoo ni . %mov:"30022"_3542352_3544085
    FATyuki no gakkoo ? %mov:"30022"_3544085_3545103
    FAT*FAT: aa, reenkooto kitahan nya,, ame furu kara naa # ame futteru kara . %mov:"30022"_3545103_3548334
    FATreenkooto ya . %mov:"30022"_3548334_3550094
    FATyuki no to chigau,, are wa . %mov:"30022"_3550094_3551302
  8. CHIhora . %mov:"30022"_3646215_3648956
    FATkowareten no chau ka ? %mov:"30022"_3648956_3650248
    FAT*FAT: taiya ga iganden [: yugandeiru] nya wa . %mov:"30022"_3650248_3652033
    FAThora . %mov:"30022"_3652033_3654063
    CHImagaru naa,, anna . %mov:"30022"_3654063_3656739
  9. CHIiganderu [: yuganderu] wa,, taiya . %mov:"30022"_3673675_3677023
    FATsoo ya . %mov:"30022"_3677023_3677452
    FAT*FAT: taiya ga iganden nya wa . %mov:"30022"_3677452_3678521
    CHIkore wa . %mov:"30022"_3678521_3679376
    FATun . %mov:"30022"_3679376_3680272

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_ishii3.89
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/30022.chaJun 3;0.222,316993.89

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. nya9 · 100.0%