PHPCLANCHILDES with regular expressions

10 matches in 10 utterances

5.93 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (648 utterances, 1,687 words searched).

  1. hai, dore sun no ? %mov:"30126"_56710_69872 FAT · japanese_ishii/30126.cha, line 44 · Jun 3;01
  2. dore norimasu ka ? %mov:"30126"_427903_429029 FAT · japanese_ishii/30126.cha, line 194 · Jun 3;01
  3. dore notte ii ka wakaranai,, takusan aru kara . %mov:"30126"_429029_43189… FAT · japanese_ishii/30126.cha, line 195 · Jun 3;01
  4. dore norimasho . %mov:"30126"_431893_433831 FAT · japanese_ishii/30126.cha, line 196 · Jun 3;01
  5. dore desu ka [<] ? %mov:"30126"_470695_474221 FAT · japanese_ishii/30126.cha, line 212 · Jun 3;01
  6. dore ga Nishidoitsu no buranko . %mov:"30126"_2141634_2143479 FAT · japanese_ishii/30126.cha, line 999 · Jun 3;01
  7. Amerika dore yatta ? %mov:"30126"_2181043_2182379 FAT · japanese_ishii/30126.cha, line 1032 · Jun 3;01
  8. Amerika dore ya,, Amerika [<] . %mov:"30126"_2184411_2186180 FAT · japanese_ishii/30126.cha, line 1036 · Jun 3;01
  9. Odakyuu te dore yatta ? %mov:"30126"_2374722_2376000 FAT · japanese_ishii/30126.cha, line 1152 · Jun 3;01
  10. Odakyuu dore ya [<] Odakyuu . FAT · japanese_ishii/30126.cha, line 1165 · Jun 3;01
  1. FATkao muke [//] misetegoran,, Oka [/] Otoosan ni . %mov:"30126"_47835_50598
    FATyoshi [/] yoshi [/] yoshi [/] yoshi, hai, toreta . %mov:"30126"_50598_56710
    FAT*FAT: hai, dore sun no ? %mov:"30126"_56710_69872
    CHIbuu@o . %mov:"30126"_69872_69872
    CHIkakkoi kakkoii . %mov:"30126"_71157_72728
  2. CHIekii . %mov:"30126"_422382_426740
    CHInottekudasaii . %mov:"30126"_426740_427903
    FAT*FAT: dore norimasu ka ? %mov:"30126"_427903_429029
    FATdore notte ii ka wakaranai,, takusan aru kara . %mov:"30126"_429029_431893
    FATdore norimasho . %mov:"30126"_431893_433831
  3. CHInottekudasaii . %mov:"30126"_426740_427903
    FATdore norimasu ka ? %mov:"30126"_427903_429029
    FAT*FAT: dore notte ii ka wakaranai,, takusan aru kara . %mov:"30126"_429029_431893
    FATdore norimasho . %mov:"30126"_431893_433831
    CHIkore noridesu [: norimasu] . %mov:"30126"_433831_435819
  4. FATdore norimasu ka ? %mov:"30126"_427903_429029
    FATdore notte ii ka wakaranai,, takusan aru kara . %mov:"30126"_429029_431893
    FAT*FAT: dore norimasho . %mov:"30126"_431893_433831
    CHIkore noridesu [: norimasu] . %mov:"30126"_433831_435819
    FATdokkara non no,, sore . %mov:"30126"_435819_437740
  5. FATorimashita . %mov:"30126"_470140_470695
    CHInottekudasai,, kono basu [>] . %mov:"30126"_470695_474221
    FAT*FAT: dore desu ka [<] ? %mov:"30126"_470695_474221
    FATdokkara [: doko kara] non no,, sore wa . %mov:"30126"_474221_475487
    CHIkotchi wa non no . %mov:"30126"_475487_476763
  6. FATe ? %mov:"30126"_2137895_2139401
    CHINishidoitsu no buranko . %mov:"30126"_2139401_2141634
    FAT*FAT: dore ga Nishidoitsu no buranko . %mov:"30126"_2141634_2143479
    CHIkore ya . %mov:"30126"_2143479_2144353
    CHIkoro buranko . %mov:"30126"_2144353_2146237
  7. CHIDoitsu kara . %mov:"30126"_2179473_2180400
    FATDoitsu . %mov:"30126"_2180400_2181043
    FAT*FAT: Amerika dore yatta ? %mov:"30126"_2181043_2182379
    CHIan ? %mov:"30126"_2182379_2183381
    CHIwaipa . %mov:"30126"_2183381_2184411
  8. CHIwaipa . %mov:"30126"_2183381_2184411
    CHIwai [>] +... %mov:"30126"_2184411_2186180
    FAT*FAT: Amerika dore ya,, Amerika [<] . %mov:"30126"_2184411_2186180
    CHIichi nii san [= 1 2 3] . %mov:"30126"_2186180_2187916
    CHIwaipaa nai,, kore . %mov:"30126"_2187916_2190832
  9. CHIOdakyuu ? %mov:"30126"_2370755_2372215
    CHIdoko ni an no,, Odakyuu ? %mov:"30126"_2372215_2374722
    FAT*FAT: Odakyuu te dore yatta ? %mov:"30126"_2374722_2376000
    CHIOdakyuu wa +... %mov:"30126"_2376000_2377146
    CHIOdakyuu . %mov:"30126"_2377146_2379711
  10. CHIHankyuu wa +... %mov:"30126"_2388619_2390427
    CHIHankyuu wa [>] +... %mov:"30126"_2389673_2391807
    FAT*FAT: Odakyuu dore ya [<] Odakyuu .
    CHIOdakyuu wa +... %mov:"30126"_2391807_2393201
    CHIOdakyuu kore ya . %mov:"30126"_2393201_2394974

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_ishii5.93
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/30126.chaJun 3;1.261,68710105.93

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. dore10 · 100.0%