PHPCLANCHILDES with regular expressions

10 matches in 10 utterances

5.95 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (688 utterances, 1,682 words searched).

  1. soo, hikooki tobu yo . %mov:"20706"_317252_318529 FAT · japanese_ishii/20706.cha, line 191 · Jun 2;07
  2. hikooki wa tobu . %mov:"20706"_329989_330861 FAT · japanese_ishii/20706.cha, line 198 · Jun 2;07
  3. hikooki . %mov:"20706"_382627_383720 FAT · japanese_ishii/20706.cha, line 231 · Jun 2;07
  4. hikooki . %mov:"20706"_390293_391488 FAT · japanese_ishii/20706.cha, line 238 · Jun 2;07
  5. hikooki . %mov:"20706"_396046_396843 FAT · japanese_ishii/20706.cha, line 242 · Jun 2;07
  6. hikooki . %mov:"20706"_404125_407047 FAT · japanese_ishii/20706.cha, line 247 · Jun 2;07
  7. hikooki . %mov:"20706"_412475_413186 FAT · japanese_ishii/20706.cha, line 252 · Jun 2;07
  8. hikooki ya de . %mov:"20706"_417603_418628 FAT · japanese_ishii/20706.cha, line 256 · Jun 2;07
  9. hikooki ? %mov:"20706"_722660_723580 FAT · japanese_ishii/20706.cha, line 383 · Jun 2;07
  10. dooshite hikooki ya,, sore ga . %mov:"20706"_725198_727014 FAT · japanese_ishii/20706.cha, line 385 · Jun 2;07
  1. CHItoberu . %mov:"20706"_314387_315821
    CHIhikooki toberu wa . %mov:"20706"_315821_317252
    FAT*FAT: soo, hikooki tobu yo . %mov:"20706"_317252_318529
    CHIpopposhusshu@o tobu dee . %mov:"20706"_318529_322718
    FATtobanai wa . %mov:"20706"_322718_323588
  2. CHIokooki [: hikooki] ga # tobu de . %mov:"20706"_325916_329373
    FATsoo ya . %mov:"20706"_329373_329989
    FAT*FAT: hikooki wa tobu . %mov:"20706"_329989_330861
    CHIGatchaman [= character toy] mo tobu de . %mov:"20706"_330861_333134
    FATGatchaman, sonnan tobanai wa . %mov:"20706"_333134_334764
  3. CHIxxx # xxx . %mov:"20706"_372898_380849
    CHIhora, okooki [: hikooki] kita . %mov:"20706"_380849_382627
    FAT*FAT: hikooki . %mov:"20706"_382627_383720
    CHIhikooki ? %mov:"20706"_383720_385015
    FATsoo . %mov:"20706"_385015_385624
  4. FATchigau . %mov:"20706"_387564_388040
    CHIshi [//] ikooki [: hikooki] . %mov:"20706"_388040_390293
    FAT*FAT: hikooki . %mov:"20706"_390293_391488
    FAThi . %mov:"20706"_391488_393646
    CHIhi # hokooki . %mov:"20706"_393646_393646
  5. FAThi . %mov:"20706"_391488_393646
    CHIhi # hokooki . %mov:"20706"_393646_393646
    FAT*FAT: hikooki . %mov:"20706"_396046_396843
    CHIiku yoo . %mov:"20706"_396843_400782
    CHIokooki <xxx> [>] . %mov:"20706"_400782_402385
  6. FATchigau [<] . %mov:"20706"_400782_402385
    FATokooki chigau . %mov:"20706"_402385_404125
    FAT*FAT: hikooki . %mov:"20706"_404125_407047
    CHIi . %mov:"20706"_407047_407599
    FAThi . %mov:"20706"_407599_408614
  7. FAThi . %mov:"20706"_407599_408614
    CHInaa kore nani ? %mov:"20706"_408614_408614
    FAT*FAT: hikooki . %mov:"20706"_412475_413186
    FAThokooki chau ne . %mov:"20706"_413186_417603
    FAThikooki ya de . %mov:"20706"_417603_418628
  8. FAThikooki . %mov:"20706"_412475_413186
    FAThokooki chau ne . %mov:"20706"_413186_417603
    FAT*FAT: hikooki ya de . %mov:"20706"_417603_418628
    CHIhikooki . %mov:"20706"_418628_419626
    FATsoo [/] soo . %mov:"20706"_419626_420151
  9. FATe [<] ? %mov:"20706"_718728_721094
    CHIhokooki mitai . %mov:"20706"_721094_721094
    FAT*FAT: hikooki ? %mov:"20706"_722660_723580
    CHIhikooki ya de . %mov:"20706"_723580_725198
    FATdooshite hikooki ya,, sore ga . %mov:"20706"_725198_727014
  10. FAThikooki ? %mov:"20706"_722660_723580
    CHIhikooki ya de . %mov:"20706"_723580_725198
    FAT*FAT: dooshite hikooki ya,, sore ga . %mov:"20706"_725198_727014
    CHIchau wa . %mov:"20706"_727014_728177
    CHIGatchaman mitai . %mov:"20706"_728177_728177

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_ishii5.95
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20706.chaJun 2;7.061,68210105.95

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. hikooki10 · 100.0%