PHPCLANCHILDES with regular expressions

10 matches in 10 utterances

17.06 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (252 utterances, 586 words searched).

  1. ae [: are] ? %mov:"10405"_271992_272758 FAT · japanese_ishii/10405.cha, line 238 · Jun 1;04
  2. are, nani ka naa . %mov:"10405"_338614_341867 FAT · japanese_ishii/10405.cha, line 283 · Jun 1;04
  3. ae [: are] ? %mov:"10405"_475234_475807 FAT · japanese_ishii/10405.cha, line 374 · Jun 1;04
  4. xxx chigau wa,, are wa . %mov:"10405"_623650_625838 FAT · japanese_ishii/10405.cha, line 476 · Jun 1;04
  5. are (wa) buu@o to chigau . %mov:"10405"_627732_628827 FAT · japanese_ishii/10405.cha, line 478 · Jun 1;04
  6. dare,, are (wa) . %mov:"10405"_672939_673673 FAT · japanese_ishii/10405.cha, line 519 · Jun 1;04
  7. are ? %mov:"10405"_690149_690876 FAT · japanese_ishii/10405.cha, line 531 · Jun 1;04
  8. are (wa) chigau yo . %mov:"10405"_701732_703547 FAT · japanese_ishii/10405.cha, line 544 · Jun 1;04
  9. are ? %mov:"10405"_740372_741008 FAT · japanese_ishii/10405.cha, line 575 · Jun 1;04
  10. are ? %mov:"10405"_748226_748736 FAT · japanese_ishii/10405.cha, line 583 · Jun 1;04
  1. CHIuu uu uu uua [<] . %mov:"10405"_265700_269373
    CHIaaui ? %mov:"10405"_269373_271992
    FAT*FAT: ae [: are] ? %mov:"10405"_271992_272758
    CHIjii . %mov:"10405"_272758_274362
    CHIbubuu uu uu uuya . %mov:"10405"_274362_279473
  2. CHIa a a . %mov:"10405"_337376_338008
    FAThoora . %mov:"10405"_338008_338614
    FAT*FAT: are, nani ka naa . %mov:"10405"_338614_341867
    FATmee@o ya [: da] . %mov:"10405"_341867_343973
    CHIau ? %mov:"10405"_343973_346233
  3. FAThonto [>] . %mov:"10405"_473191_475234
    CHIae [<] ? %mov:"10405"_473191_475234
    FAT*FAT: ae [: are] ? %mov:"10405"_475234_475807
    CHIdeyao . %mov:"10405"_475807_476502
    FATuun . %mov:"10405"_476502_477203
  4. CHIbuu u <uuae> [>] ? %mov:"10405"_621555_623650
    FAT<doko ni> [<] buu@o aru ? %mov:"10405"_621555_623650
    FAT*FAT: xxx chigau wa,, are wa . %mov:"10405"_623650_625838
    CHIbuu u ? %mov:"10405"_625838_627732
    FATare (wa) buu@o to chigau . %mov:"10405"_627732_628827
  5. FATxxx chigau wa,, are wa . %mov:"10405"_623650_625838
    CHIbuu u ? %mov:"10405"_625838_627732
    FAT*FAT: are (wa) buu@o to chigau . %mov:"10405"_627732_628827
    CHIbuua ? %mov:"10405"_628827_630195
    FATxxx . %mov:"10405"_630195_631418
  6. FATkawaii naa (to) shiten [: shiteiru] no . %mov:"10405"_667375_669741
    CHIa ! %mov:"10405"_669741_672939
    FAT*FAT: dare,, are (wa) . %mov:"10405"_672939_673673
    CHInnya . %mov:"10405"_673673_676238
    FATkonnichiwa . %mov:"10405"_676238_677281
  7. FATuun [>] . %mov:"10405"_686963_690149
    CHIae [<] ? %mov:"10405"_686963_690149
    FAT*FAT: are ? %mov:"10405"_690149_690876
    CHIuubuuae ? %mov:"10405"_690876_692021
    CHIabuu uubuua ? %mov:"10405"_692021_695433
  8. FATbuu@o asoko (ni) an [: aru] no . %mov:"10405"_698887_700462
    FATsonna toko (ni) nai yo . %mov:"10405"_700462_701732
    FAT*FAT: are (wa) chigau yo . %mov:"10405"_701732_703547
    CHIaabuu . %mov:"10405"_703547_706000
    CHIdya [>] . %mov:"10405"_706000_706527
  9. FAT<xxx> [<] xxx . %mov:"10405"_735304_738494
    CHIae . %mov:"10405"_738494_740372
    FAT*FAT: are ? %mov:"10405"_740372_741008
    FATbuubuu@o ya [: da] na . %mov:"10405"_741008_741689
    FATminna buubuu@o . %mov:"10405"_741689_742712
  10. FATwa ! %mov:"10405"_746142_746698
    CHIuuoo ? %mov:"10405"_746698_748226
    FAT*FAT: are ? %mov:"10405"_748226_748736
    CHIuu uuwoogooae ? %mov:"10405"_748736_750191
    FATuun . %mov:"10405"_750191_750969

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_ishii17.06
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/10405.chaJun 1;4.05586101017.06

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. are10 · 100.0%