PHPCLANCHILDES with regular expressions

10 matches in 10 utterances

5.11 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (698 utterances, 1,957 words searched).

  1. sukii no basu wa ? %mov:"30816"_176797_177584 FAT · japanese_ishii/30816.cha, line 103 · Jun 3;08
  2. sukii iku basu wa dore ya . %mov:"30816"_177584_178766 FAT · japanese_ishii/30816.cha, line 104 · Jun 3;08
  3. konna basu de itta ka ? %mov:"30816"_181505_182494 FAT · japanese_ishii/30816.cha, line 107 · Jun 3;08
  4. sukii no basu wa futari ita nee,, untenshusan ga ? %mov:"30816"_201359_203515 FAT · japanese_ishii/30816.cha, line 123 · Jun 3;08
  5. hikoojoo iku basu ka . %mov:"30816"_490610_491965 FAT · japanese_ishii/30816.cha, line 288 · Jun 3;08
  6. un, onnaji basu ya . %mov:"30816"_504281_505079 FAT · japanese_ishii/30816.cha, line 298 · Jun 3;08
  7. a, soko ni basu ga in [: iru] no . %mov:"30816"_594147_595968 FAT · japanese_ishii/30816.cha, line 335 · Jun 3;08
  8. kore terebi no basu . %mov:"30816"_2749352_2750467 FAT · japanese_ishii/30816.cha, line 1365 · Jun 3;08
  9. un, uma noseru basu ya de . %mov:"30816"_2756601_2758513 FAT · japanese_ishii/30816.cha, line 1370 · Jun 3;08
  10. kore wa nee # kore wa kippu uru basu ya . %mov:"30816"_2781709_2783979 FAT · japanese_ishii/30816.cha, line 1382 · Jun 3;08
  1. FATKyooto ? %mov:"30816"_174791_176114
    CHIun . %mov:"30816"_176114_176797
    FAT*FAT: sukii no basu wa ? %mov:"30816"_176797_177584
    FATsukii iku basu wa dore ya . %mov:"30816"_177584_178766
    CHIkore yan ka [>] . %mov:"30816"_178766_181505
  2. CHIun . %mov:"30816"_176114_176797
    FATsukii no basu wa ? %mov:"30816"_176797_177584
    FAT*FAT: sukii iku basu wa dore ya . %mov:"30816"_177584_178766
    CHIkore yan ka [>] . %mov:"30816"_178766_181505
    FATaa, soo ya [<] . %mov:"30816"_178766_181505
  3. CHIkore yan ka [>] . %mov:"30816"_178766_181505
    FATaa, soo ya [<] . %mov:"30816"_178766_181505
    FAT*FAT: konna basu de itta ka ? %mov:"30816"_181505_182494
    CHIun . %mov:"30816"_182494_183346
    FATJun doko no [>] +... %mov:"30816"_183346_184620
  4. CHIuntenshusan # futari iihin [: inai] de,, kore . %mov:"30816"_196462_200333
    FATfutari iihin naa . %mov:"30816"_200333_201359
    FAT*FAT: sukii no basu wa futari ita nee,, untenshusan ga ? %mov:"30816"_201359_203515
    CHIii ya,, hitotsu [: hitori] de . %mov:"30816"_203515_205188
    FAThitori de ii ka ? %mov:"30816"_205188_205807
  5. FATun . %mov:"30816"_488366_488908
    CHIhikoojoo no basu ya zoo . %mov:"30816"_488908_490610
    FAT*FAT: hikoojoo iku basu ka . %mov:"30816"_490610_491965
    CHIun . %mov:"30816"_491965_492448
    FATkore to issho ya . %mov:"30816"_492448_493299
  6. CHIonnaji yaro . %mov:"30816"_500391_503171
    CHIonnaji basu yaro . %mov:"30816"_503171_504281
    FAT*FAT: un, onnaji basu ya . %mov:"30816"_504281_505079
    CHIpiipii@o [: back] suru . %mov:"30816"_505079_507101
    CHImagaru zo . %mov:"30816"_507101_509178
  7. CHIhairahen de . %mov:"30816"_590998_592312
    CHIkore ga an [: aru] mon . %mov:"30816"_592312_594147
    FAT*FAT: a, soko ni basu ga in [: iru] no . %mov:"30816"_594147_595968
    CHIun . %mov:"30816"_595968_597271
    FATmienakatta . %mov:"30816"_597271_598265
  8. CHIkore chau de . %mov:"30816"_2745631_2746784
    CHIgakkoo no basu ya de . %mov:"30816"_2746784_2749352
    FAT*FAT: kore terebi no basu . %mov:"30816"_2749352_2750467
    CHIterebi no basu . %mov:"30816"_2750467_2752140
    FATun, sore mo ya de . %mov:"30816"_2752140_2753572
  9. CHIterebi no . %mov:"30816"_2753572_2754705
    CHIdoobutsuen no basu . %mov:"30816"_2754705_2756601
    FAT*FAT: un, uma noseru basu ya de . %mov:"30816"_2756601_2758513
    CHIkore wa na # yuubin noseru basu . %mov:"30816"_2758513_2761145
    FATsoo da . %mov:"30816"_2761145_2761725
  10. FATsoo . %mov:"30816"_2777607_2778341
    CHIkore mo gohon tsumu # basu ya . %mov:"30816"_2778341_2781709
    FAT*FAT: kore wa nee # kore wa kippu uru basu ya . %mov:"30816"_2781709_2783979
    CHIsoo ya . %mov:"30816"_2783979_2785062
    CHIkore wa ? %mov:"30816"_2785062_2785547

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_ishii5.11
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/30816.chaJun 3;8.161,95710105.11

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. basu10 · 100.0%