PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

4.66 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (351 utterances, 859 words searched).

  1. Okaasan toko Porushe aru no mottekinasai ,, Porushe . %mov:"20524"_95456_979… FAT · japanese_ishii/20524.cha, line 66 · Jun 2;05
  2. Okaasan (ni) unko tottemorainasai . %mov:"20524"_530421_536403 FAT · japanese_ishii/20524.cha, line 283 · Jun 2;05
  3. hai, Okaasan # toko ittekinasai . %mov:"20524"_595227_601036 FAT · japanese_ishii/20524.cha, line 301 · Jun 2;05
  4. Okaasan pon@o shiteta . %mov:"20524"_1391487_1392739 FAT · japanese_ishii/20524.cha, line 670 · Jun 2;05
  1. japanese_ishii/20524.cha, line 66 · Jun, 2;5.24
    CHIOkaasan toko # Porushe a # ippai aru wa . %mov:"20524"_86296_94782
    FATnani ga . %mov:"20524"_94782_95456
    FAT*FAT: Okaasan toko Porushe aru no mottekinasai ,, Porushe . %mov:"20524"_95456_97986
    FATPorushe mottekinasai . %mov:"20524"_97986_102063
    FATPorushe koko ni atta n (to) chgatta kaa ? %mov:"20524"_102063_102063
  2. japanese_ishii/20524.cha, line 283 · Jun, 2;5.24
    CHIaa, mata adare xxx [>] . %mov:"20524"_525239_530421
    FATxxx [<] . %mov:"20524"_525239_530421
    FAT*FAT: Okaasan (ni) unko tottemorainasai . %mov:"20524"_530421_536403
    CHIiya . %mov:"20524"_536403_537566
    FATdame . %mov:"20524"_537566_538643
  3. japanese_ishii/20524.cha, line 301 · Jun, 2;5.24
    FATnee ? %mov:"20524"_585302_586578
    CHIxxx . %mov:"20524"_586578_595227
    FAT*FAT: hai, Okaasan # toko ittekinasai . %mov:"20524"_595227_601036
    FATunko tottekinasai . %mov:"20524"_601036_602443
    CHIxxx . %mov:"20524"_602443_603783
  4. japanese_ishii/20524.cha, line 670 · Jun, 2;5.24
    FATdare to itta no ? %mov:"20524"_1387698_1388659
    CHIOkaasan pon@o shiteta . %mov:"20524"_1388659_1391487
    FAT*FAT: Okaasan pon@o shiteta . %mov:"20524"_1391487_1392739
    CHIoo # doko da ? %mov:"20524"_1392739_1396765
    CHIdoko da ? %mov:"20524"_1396765_1398774

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_ishii4.66
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20524.chaJun 2;5.24859444.66

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. okaasan4 · 100.0%