PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

6.09 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (482 utterances, 1,150 words searched).

  1. ima nanji ? %mov:"30203"_1327174_1329579 MAA · japanese_ishii/30203.cha, line 474 · Jun 3;02
  2. Junkun wa ima hikooki tsukutteru deshoo ? %mov:"30203"_1934723_1936965 FAT · japanese_ishii/30203.cha, line 674 · Jun 3;02
  3. kashitekureharu yo, ima . %mov:"30203"_1952013_1953476 FAT · japanese_ishii/30203.cha, line 680 · Jun 3;02
  4. tsukuttageteru yaro,, ima ? %mov:"30203"_2601738_2603214 FAT · japanese_ishii/30203.cha, line 866 · Jun 3;02
  5. hai, ima kore de asobinasai . %mov:"30203"_2803053_2805548 FAT · japanese_ishii/30203.cha, line 937 · Jun 3;02
  6. ima kore de iroiro tsukutte asonden no desho ? %mov:"30203"_2826990_2829… FAT · japanese_ishii/30203.cha, line 955 · Jun 3;02
  7. Junkun oshikko shita ya,, ima, naa ? %mov:"30203"_2842529_2845350 FAT · japanese_ishii/30203.cha, line 965 · Jun 3;02
  1. CHIkore wa na # hichiji ni nattara na # xxx . %mov:"30203"_1318893_1325736
    FATnanji ni nattara ? %mov:"30203"_1325736_1327174
    MAA*MAA: ima nanji ? %mov:"30203"_1327174_1329579
    CHIroku ji . %mov:"30203"_1329579_1331004
    MAArokuji . %mov:"30203"_1331004_1331964
  2. CHIka # ko # un # kashite, Maakun . %mov:"30203"_1925954_1931231
    CHIkashitekurehen yan kaa . %mov:"30203"_1931231_1934723
    FAT*FAT: Junkun wa ima hikooki tsukutteru deshoo ? %mov:"30203"_1934723_1936965
    CHIchau waa ! %mov:"30203"_1936965_1939141
    CHIkore foo # fookurifuto kashitekureheen ! %mov:"30203"_1939141_1944202
  3. FATjumban [/] jumban . %mov:"30203"_1947311_1948089
    CHIkashitekurehen yan kaa . %mov:"30203"_1948089_1952013
    FAT*FAT: kashitekureharu yo, ima . %mov:"30203"_1952013_1953476
    FAThoora, kashitekureharu yan ka . %mov:"30203"_1953476_1954838
    MAAochita . %mov:"30203"_1954838_1955438
  4. FATyooshi, tsukuttaro . %mov:"30203"_2587523_2588663
    CHItsukuttekurehen . %mov:"30203"_2588663_2601738
    FAT*FAT: tsukuttageteru yaro,, ima ? %mov:"30203"_2601738_2603214
    MAAare ? %mov:"30203"_2603214_2604610
    MAAxxx . %mov:"30203"_2604610_2607104
  5. MAAxxx . %mov:"30203"_2797105_2798333
    CHIsonna n Junkun kore noru . %mov:"30203"_2798333_2803053
    FAT*FAT: hai, ima kore de asobinasai . %mov:"30203"_2803053_2805548
    CHIjumbanko ya de . %mov:"30203"_2805548_2806805
    FATun . %mov:"30203"_2806805_2807313
  6. CHIna ? %mov:"30203"_2825557_2826448
    FATun . %mov:"30203"_2826448_2826990
    FAT*FAT: ima kore de iroiro tsukutte asonden no desho ? %mov:"30203"_2826990_2829616
    MOTxxx . %mov:"30203"_2829616_2832412
    MAAObachan toko iku . %mov:"30203"_2832412_2833945
  7. FATdare ga ? %mov:"30203"_2841792_2842529
    MAAoshikko xxx . %mov:"30203"_2842529_2843790
    FAT*FAT: Junkun oshikko shita ya,, ima, naa ? %mov:"30203"_2842529_2845350
    CHIima oshikko shita yan . %mov:"30203"_2845350_2848486

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_ishii6.09
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/30203.chaJun 3;2.031,150776.09

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. ima7 · 100.0%