PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.64 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (707 utterances, 1,893 words searched).

  1. mohitotsu Serika atta nee . %mov:"30119"_641735_655253 FAT · japanese_ishii/30119.cha, line 231 · Jun 3;01
  2. Serika atta nee, mohitotsu . %mov:"30119"_658518_659713 FAT · japanese_ishii/30119.cha, line 234 · Jun 3;01
  3. nai nee . %mov:"30119"_878152_882089 FAT · japanese_ishii/30119.cha, line 355 · Jun 3;01
  4. naranda nee . %mov:"30119"_1035245_1037359 FAT · japanese_ishii/30119.cha, line 409 · Jun 3;01
  5. yoo shitten nee . %mov:"30119"_1917198_1918427 FAT · japanese_ishii/30119.cha, line 830 · Jun 3;01
  1. CHIJunkun tsukamaeru shi . %mov:"30119"_638489_640617
    FATJunkun ga tsukamaeru ? %mov:"30119"_640617_641735
    FAT*FAT: mohitotsu Serika atta nee . %mov:"30119"_641735_655253
    CHIn ? %mov:"30119"_655253_656580
    CHImohitotsu Seri +... %mov:"30119"_656580_658518
  2. CHIn ? %mov:"30119"_655253_656580
    CHImohitotsu Seri +... %mov:"30119"_656580_658518
    FAT*FAT: Serika atta nee, mohitotsu . %mov:"30119"_658518_659713
    FATdoko itta ? %mov:"30119"_659713_660260
    CHIdoko itta . %mov:"30119"_660260_663422
  3. CHIHaieesu . %mov:"30119"_875153_875751
    CHIHaieesu doko xxx . %mov:"30119"_875751_878152
    FAT*FAT: nai nee . %mov:"30119"_878152_882089
    CHIHaieesu kotchi # atchi ni iru kara . %mov:"30119"_882089_885738
    CHIatchi # Haieesu # Haieesu . %mov:"30119"_885738_890009
  4. CHIFoodo ya . %mov:"30119"_1032426_1033544
    CHIxxx . %mov:"30119"_1033544_1035245
    FAT*FAT: naranda nee . %mov:"30119"_1035245_1037359
    CHIkore mo na # kore wa na +... %mov:"30119"_1037359_1040787
    FATun [>] . %mov:"30119"_1040787_1043533
  5. FATnawatobi . %mov:"30119"_1916032_1916712
    FATsoo ya . %mov:"30119"_1916712_1917198
    FAT*FAT: yoo shitten nee . %mov:"30119"_1917198_1918427
    FATkore wa nan da,, kore wa . %mov:"30119"_1918427_1920693
    FATwakaran [: wakaranai] naa . %mov:"30119"_1920693_1922153

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_ishii2.64
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/30119.chaJun 3;1.191,893552.64

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. nee5 · 100.0%