PHPCLANCHILDES with regular expressions

10 matches in 10 utterances

12.29 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (327 utterances, 814 words searched).

  1. a, sore nan da . %mov:"20113"_29291_29291 FAT · japanese_ishii/20113.cha, line 32 · Jun 2;01
  2. nani,, sore [>] ? %mov:"20113"_35765_38358 FAT · japanese_ishii/20113.cha, line 36 · Jun 2;01
  3. sore ga ii no . %mov:"20113"_69275_71943 FAT · japanese_ishii/20113.cha, line 65 · Jun 2;01
  4. sore wa ? %mov:"20113"_216208_216733 FAT · japanese_ishii/20113.cha, line 152 · Jun 2;01
  5. sore mo chutchu@o ? %mov:"20113"_219251_220680 FAT · japanese_ishii/20113.cha, line 155 · Jun 2;01
  6. sore mo chutchu@o [<] . %mov:"20113"_221985_223285 FAT · japanese_ishii/20113.cha, line 159 · Jun 2;01
  7. sore nan desho ne ? %mov:"20113"_430372_431500 FAT · japanese_ishii/20113.cha, line 295 · Jun 2;01
  8. sore mo . %mov:"20113"_442083_442570 FAT · japanese_ishii/20113.cha, line 307 · Jun 2;01
  9. basu ka,, sore . %mov:"20113"_456817_457798 FAT · japanese_ishii/20113.cha, line 319 · Jun 2;01
  10. sore mo booto . %mov:"20113"_654785_655703 FAT · japanese_ishii/20113.cha, line 462 · Jun 2;01
  1. japanese_ishii/20113.cha, line 32 · Jun, 2;1.13
    CHIita xxx [>] . %mov:"20113"_27122_29291
    FATdono gohon miru [<] ? %mov:"20113"_27122_29291
    FAT*FAT: a, sore nan da . %mov:"20113"_29291_29291
    CHIe ? %mov:"20113"_32372_33554
    CHIwa # wa wa ! %mov:"20113"_33554_35765
  2. japanese_ishii/20113.cha, line 36 · Jun, 2;1.13
    CHIe ? %mov:"20113"_32372_33554
    CHIwa # wa wa ! %mov:"20113"_33554_35765
    FAT*FAT: nani,, sore [>] ? %mov:"20113"_35765_38358
    CHIwa wa boboshusshu [<] . %mov:"20113"_35765_38358
    FATpopposhusshu@o ka ? %mov:"20113"_38358_39669
  3. japanese_ishii/20113.cha, line 65 · Jun, 2;1.13
    CHIpoposhusshu . %mov:"20113"_66112_68406
    FATJun no dore ? %mov:"20113"_68406_69275
    FAT*FAT: sore ga ii no . %mov:"20113"_69275_71943
    FATterebi keshitekite, atchi . %mov:"20113"_71943_75783
    FATatchi . %mov:"20113"_75783_77343
  4. japanese_ishii/20113.cha, line 152 · Jun, 2;1.13
    CHIkoe a ? %mov:"20113"_213979_215073
    CHIkoe a ? %mov:"20113"_215073_216208
    FAT*FAT: sore wa ? %mov:"20113"_216208_216733
    CHIchutchu . %mov:"20113"_216733_218134
    CHIkoe wa ? %mov:"20113"_218134_219251
  5. japanese_ishii/20113.cha, line 155 · Jun, 2;1.13
    CHIchutchu . %mov:"20113"_216733_218134
    CHIkoe wa ? %mov:"20113"_218134_219251
    FAT*FAT: sore mo chutchu@o ? %mov:"20113"_219251_220680
    CHIchu . %mov:"20113"_220680_221461
    CHIkoe wa ? %mov:"20113"_221461_221985
  6. japanese_ishii/20113.cha, line 159 · Jun, 2;1.13
    CHIkoe wa ? %mov:"20113"_221461_221985
    CHIchutchu [>] ? %mov:"20113"_221985_223285
    FAT*FAT: sore mo chutchu@o [<] . %mov:"20113"_221985_223285
    FATzeembu chutchu@o . %mov:"20113"_223285_224646
    CHIzeebu ? %mov:"20113"_224646_226200
  7. japanese_ishii/20113.cha, line 295 · Jun, 2;1.13
    FATchigau yo,, buubuu@o to . %mov:"20113"_427944_429418
    CHIn ? %mov:"20113"_429418_430372
    FAT*FAT: sore nan desho ne ? %mov:"20113"_430372_431500
    CHIdebua . %mov:"20113"_431500_433054
    FATbooto ya . %mov:"20113"_433054_434045
  8. japanese_ishii/20113.cha, line 307 · Jun, 2;1.13
    FATsoo, yoo shitteru nee . %mov:"20113"_440151_441381
    CHIkoe a ? %mov:"20113"_441381_442083
    FAT*FAT: sore mo . %mov:"20113"_442083_442570
    CHIkoe booto ! %mov:"20113"_442570_445156
    FATbooto . %mov:"20113"_445156_445660
  9. japanese_ishii/20113.cha, line 319 · Jun, 2;1.13
    FATun . %mov:"20113"_454476_455025
    CHItoakku # bashu . %mov:"20113"_455025_456817
    FAT*FAT: basu ka,, sore . %mov:"20113"_456817_457798
    CHIn ? %mov:"20113"_457798_458601
    FATbasu kaa ? %mov:"20113"_458601_459613
  10. japanese_ishii/20113.cha, line 462 · Jun, 2;1.13
    FATun [>] . %mov:"20113"_653993_654785
    CHIkoe wa [<] ? %mov:"20113"_653993_654785
    FAT*FAT: sore mo booto . %mov:"20113"_654785_655703
    CHIoe a ? %mov:"20113"_655703_656344
    FATminna booto . %mov:"20113"_656344_658128

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_ishii12.29
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20113.chaJun 2;1.13814101012.29

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. sore10 · 100.0%