PHPCLANCHILDES with regular expressions

10 matches in 10 utterances

4.32 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (806 utterances, 2,316 words searched).

  1. nani mo mottekonai yo . %mov:"30022"_232209_233740 FAT · japanese_ishii/30022.cha, line 124 · Jun 3;00
  2. kore mo gareeji hain no ? %mov:"30022"_354612_358251 FAT · japanese_ishii/30022.cha, line 197 · Jun 3;00
  3. basu mo mieteru desho ? %mov:"30022"_598572_599946 FAT · japanese_ishii/30022.cha, line 310 · Jun 3;00
  4. fune mo mieteru desho ? %mov:"30022"_601841_603242 FAT · japanese_ishii/30022.cha, line 312 · Jun 3;00
  5. sore mo hittsuken no . %mov:"30022"_996238_1003806 FAT · japanese_ishii/30022.cha, line 487 · Jun 3;00
  6. aa, sore mo mawan [: mawaru] no [<] . %mov:"30022"_1004731_1008460 FAT · japanese_ishii/30022.cha, line 490 · Jun 3;00
  7. kore mo noru . %mov:"30022"_1395064_1396532 FAT · japanese_ishii/30022.cha, line 654 · Jun 3;00
  8. un, kitsuushite mo ii yo . %mov:"30022"_2096896_2098660 FAT · japanese_ishii/30022.cha, line 954 · Jun 3;00
  9. naoranai wa,, kore mo katai kara . %mov:"30022"_2207516_2209883 FAT · japanese_ishii/30022.cha, line 1015 · Jun 3;00
  10. kore mo [<] magaru naa . %mov:"30022"_3661752_3665525 FAT · japanese_ishii/30022.cha, line 1643 · Jun 3;00
  1. FAThai . %mov:"30022"_229206_230011
    CHInani mottekun no ? %mov:"30022"_230011_232209
    FAT*FAT: nani mo mottekonai yo . %mov:"30022"_232209_233740
    CHIbuun@o buun@o buun@o buun@o . %mov:"30022"_233740_238318
    FATdoko ikimasu ka ne ? %mov:"30022"_238318_240414
  2. FAThai, akemashita . %mov:"30022"_350872_352346
    CHIbuun@o . %mov:"30022"_352346_356687
    FAT*FAT: kore mo gareeji hain no ? %mov:"30022"_354612_358251
    CHIbuun@o . %mov:"30022"_358251_361322
    CHIkore sakki [: saki ni] . %mov:"30022"_359610_362400
  3. FATjidoosha mieteru yaro ? %mov:"30022"_593329_595274
    CHIbasu wa ? %mov:"30022"_595274_598572
    FAT*FAT: basu mo mieteru desho ? %mov:"30022"_598572_599946
    CHIfune wa ? %mov:"30022"_599946_601841
    FATfune mo mieteru desho ? %mov:"30022"_601841_603242
  4. FATbasu mo mieteru desho ? %mov:"30022"_598572_599946
    CHIfune wa ? %mov:"30022"_599946_601841
    FAT*FAT: fune mo mieteru desho ? %mov:"30022"_601841_603242
    CHIdensha wa ? %mov:"30022"_603242_605651
    FATmieteru desho ? %mov:"30022"_605651_606628
  5. FATkore de ee ka ? %mov:"30022"_994905_995494
    CHIun . %mov:"30022"_995494_996238
    FAT*FAT: sore mo hittsuken no . %mov:"30022"_996238_1003806
    FATuun, honto . %mov:"30022"_1003806_1004731
    CHIhonde [: sorede] koo sun [: suru] nya [>] . %mov:"30022"_1004731_1008460
  6. FATuun, honto . %mov:"30022"_1003806_1004731
    CHIhonde [: sorede] koo sun [: suru] nya [>] . %mov:"30022"_1004731_1008460
    FAT*FAT: aa, sore mo mawan [: mawaru] no [<] . %mov:"30022"_1004731_1008460
    FAThee . %mov:"30022"_1008460_1011417
    CHIwiin@o [>] . %mov:"30022"_1011417_1013716
  7. FATii yan . %mov:"30022"_1391849_1394151
    FATdaijoobu ya . %mov:"30022"_1394151_1395064
    FAT*FAT: kore mo noru . %mov:"30022"_1395064_1396532
    CHIyakko [?] koko no hoo ga ii yan . %mov:"30022"_1396532_1400625
    FATare ? %mov:"30022"_1400625_1402934
  8. CHIkitsuu [: kitsuku] suru . %mov:"30022"_2093454_2094279
    CHIkitsuu suru . %mov:"30022"_2094279_2096896
    FAT*FAT: un, kitsuushite mo ii yo . %mov:"30022"_2096896_2098660
    FATdaijoobu ka ? %mov:"30022"_2098660_2102255
    CHIhora . %mov:"30022"_2102255_2105708
  9. CHIyappashi [: yappari] kono hoo ga katai . %mov:"30022"_2201067_2204951
    CHIhora, kore mo katai . %mov:"30022"_2204951_2207516
    FAT*FAT: naoranai wa,, kore mo katai kara . %mov:"30022"_2207516_2209883
    FATyoshi . %mov:"30022"_2209883_2212752
    CHIakan, nao +... %mov:"30022"_2212752_2215400
  10. CHIhora . %mov:"30022"_3660213_3661752
    CHIkore mo [>] +... %mov:"30022"_3661752_3665525
    FAT*FAT: kore mo [<] magaru naa . %mov:"30022"_3661752_3665525
    CHIun . %mov:"30022"_3665525_3666326
    CHIkore magaru naa . %mov:"30022"_3666326_3671470

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_ishii4.32
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/30022.chaJun 3;0.222,31610104.32

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. mo10 · 100.0%