PHPCLANCHILDES with regular expressions

11 matches in 11 utterances

5.99 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (726 utterances, 1,836 words searched).

  1. a, honto . %mov:"30217"_196334_196851 FAT · japanese_ishii/30217.cha, line 127 · Jun 3;02
  2. a, homma [: honto] . %mov:"30217"_387410_388189 FAT · japanese_ishii/30217.cha, line 233 · Jun 3;02
  3. un, honto . %mov:"30217"_423473_424330 FAT · japanese_ishii/30217.cha, line 258 · Jun 3;02
  4. honto [<] . %mov:"30217"_446474_448921 FAT · japanese_ishii/30217.cha, line 276 · Jun 3;02
  5. honto ? %mov:"30217"_698933_699944 FAT · japanese_ishii/30217.cha, line 436 · Jun 3;02
  6. honto ? %mov:"30217"_775297_776064 FAT · japanese_ishii/30217.cha, line 469 · Jun 3;02
  7. honto . %mov:"30217"_2108863_2109769 FAT · japanese_ishii/30217.cha, line 1056 · Jun 3;02
  8. honto ya . %mov:"30217"_2464422_2465895 FAT · japanese_ishii/30217.cha, line 1210 · Jun 3;02
  9. a, honto, akanai naa . %mov:"30217"_3151739_3155591 FAT · japanese_ishii/30217.cha, line 1431 · Jun 3;02
  10. honto ya . %mov:"30217"_3201167_3202212 FAT · japanese_ishii/30217.cha, line 1447 · Jun 3;02
  11. honto . %mov:"30217"_3298790_3299596 FAT · japanese_ishii/30217.cha, line 1482 · Jun 3;02
  1. FATdore ? %mov:"30217"_193879_194959
    CHIOtoosan mo aka ya,, kore . %mov:"30217"_194959_196334
    FAT*FAT: a, honto . %mov:"30217"_196334_196851
    FATOtoosan dore kashitekuren no ? %mov:"30217"_196851_198565
    CHIkore . %mov:"30217"_198565_199701
  2. FATmae aku no,, enjin no toko ? %mov:"30217"_384859_386765
    CHIun . %mov:"30217"_386765_387410
    FAT*FAT: a, homma [: honto] . %mov:"30217"_387410_388189
    FATenjin ka,, kore . %mov:"30217"_388189_390395
    CHIhora, kore mo aku de . %mov:"30217"_390395_392403
  3. CHIkoko yan . %mov:"30217"_419895_422117
    FATa, raito ya . %mov:"30217"_422117_423473
    FAT*FAT: un, honto . %mov:"30217"_423473_424330
    CHInde koko ni na +... %mov:"30217"_424330_425509
    FATun . %mov:"30217"_425509_426133
  4. FATraito ga tsuku no . %mov:"30217"_445414_446474
    CHIhore, <issho ya> [>] . %mov:"30217"_446474_448921
    FAT*FAT: honto [<] . %mov:"30217"_446474_448921
    CHIdame da . %mov:"30217"_448921_451211
    FATnaito chigau zo . %mov:"30217"_451211_453575
  5. FATmonosugee hayai ka . %mov:"30217"_696759_698140
    CHIun . %mov:"30217"_698140_698933
    FAT*FAT: honto ? %mov:"30217"_698933_699944
    FATyattemiru yo . %mov:"30217"_699944_700917
    CHIhayahayai ? %mov:"30217"_700917_708433
  6. FATdore ? %mov:"30217"_774127_774648
    CHIhore . %mov:"30217"_774648_775297
    FAT*FAT: honto ? %mov:"30217"_775297_776064
    CHIsuru yo . %mov:"30217"_776064_776997
    CHImite ya . %mov:"30217"_776997_778822
  7. CHIhore hore, Kyoototawaa mitai ya . %mov:"30217"_2104656_2107749
    FATKyoototawaa mitai ya naa . %mov:"30217"_2107749_2108863
    FAT*FAT: honto . %mov:"30217"_2108863_2109769
    CHInoketto [: roketto] ga an nya de,, Kyoototawaa . %mov:"30217"_2109769_2112355
    CHInoketto [: roketto] ga an nya . %mov:"30217"_2112355_2115024
  8. FATkoide issho ka ? %mov:"30217"_2458614_2463605
    CHIun . %mov:"30217"_2463605_2464422
    FAT*FAT: honto ya . %mov:"30217"_2464422_2465895
    CHIuwa, taka [: takai] . %mov:"30217"_2465895_2467888
    FATtakaa . %mov:"30217"_2467888_2469119
  9. FAThai . %mov:"30217"_3145097_3145771
    CHIkotchi akerehen [: akerarehen] desu . %mov:"30217"_3145771_3153506
    FAT*FAT: a, honto, akanai naa . %mov:"30217"_3151739_3155591
    FATdoo natta n da . %mov:"30217"_3155591_3157088
    FATxxx . %mov:"30217"_3157088_3160476
  10. CHItooru wa . %mov:"30217"_3198571_3200095
    FATtooru ka ? %mov:"30217"_3200095_3201167
    FAT*FAT: honto ya . %mov:"30217"_3201167_3202212
    CHIkore mo tooru yo . %mov:"30217"_3202212_3204936
    CHIhora [/] hora . %mov:"30217"_3204936_3206824
  11. FATdotchi ? %mov:"30217"_3297076_3297866
    CHIkoko . %mov:"30217"_3297866_3298790
    FAT*FAT: honto . %mov:"30217"_3298790_3299596
    FAThitotsu nagai na . %mov:"30217"_3299596_3300743
    FATmohitotsu doko itta,, koko ? %mov:"30217"_3300743_3301798

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_ishii5.99
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/30217.chaJun 3;2.171,83611115.99

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. honto11 · 100.0%