PHPCLANCHILDES with regular expressions

10 matches in 10 utterances

8.92 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (479 utterances, 1,121 words searched).

  1. umi wa ? %mov:"20424"_922396_923165 FAT · japanese_ishii/20424.cha, line 521 · Jun 2;04
  2. umi . %mov:"20424"_924530_925163 FAT · japanese_ishii/20424.cha, line 523 · Jun 2;04
  3. umi e . %mov:"20424"_930320_930811 FAT · japanese_ishii/20424.cha, line 528 · Jun 2;04
  4. umi iku no [<] basu ga . %mov:"20424"_941941_947150 FAT · japanese_ishii/20424.cha, line 537 · Jun 2;04
  5. umi . %mov:"20424"_957759_958583 FAT · japanese_ishii/20424.cha, line 546 · Jun 2;04
  6. umi . %mov:"20424"_960719_961657 FAT · japanese_ishii/20424.cha, line 549 · Jun 2;04
  7. umi itte nani sun no ? %mov:"20424"_969696_970724 FAT · japanese_ishii/20424.cha, line 556 · Jun 2;04
  8. umi de oyoida ? %mov:"20424"_984315_986488 FAT · japanese_ishii/20424.cha, line 565 · Jun 2;04
  9. umi . %mov:"20424"_1359084_1359834 FAT · japanese_ishii/20424.cha, line 767 · Jun 2;04
  10. umi . %mov:"20424"_1365055_1365787 FAT · japanese_ishii/20424.cha, line 772 · Jun 2;04
  1. FATyama toko iku no [<] . %mov:"20424"_917700_921015
    FAThee . %mov:"20424"_921015_922396
    FAT*FAT: umi wa ? %mov:"20424"_922396_923165
    CHIxxx . %mov:"20424"_923165_924530
    FATumi . %mov:"20424"_924530_925163
  2. FATumi wa ? %mov:"20424"_922396_923165
    CHIxxx . %mov:"20424"_923165_924530
    FAT*FAT: umi . %mov:"20424"_924530_925163
    CHIyumi [: umi] ik [//] basu iku te . %mov:"20424"_925163_928137
    FATiku te . %mov:"20424"_928137_928826
  3. FATfuun [>] . %mov:"20424"_928826_930320
    CHIumi [<] . %mov:"20424"_928826_930320
    FAT*FAT: umi e . %mov:"20424"_930320_930811
    CHIyumi e . %mov:"20424"_930811_932316
    FATyama mo iku no ? %mov:"20424"_932316_933438
  4. CHIyama . %mov:"20424"_941078_941078
    CHIik [//] umi iku no <basu> [>] . %mov:"20424"_941941_947150
    FAT*FAT: umi iku no [<] basu ga . %mov:"20424"_941941_947150
    CHIbasu [>] . %mov:"20424"_947150_948562
    FAThee [<] . %mov:"20424"_947150_948562
  5. FATdoko ? %mov:"20424"_955720_956307
    CHImimi iku no . %mov:"20424"_956307_957759
    FAT*FAT: umi . %mov:"20424"_957759_958583
    CHImimi iku no . %mov:"20424"_958583_960719
    FATumi . %mov:"20424"_960719_961657
  6. FATumi . %mov:"20424"_957759_958583
    CHImimi iku no . %mov:"20424"_958583_960719
    FAT*FAT: umi . %mov:"20424"_960719_961657
    CHImimi . %mov:"20424"_961657_962758
    FATmimi chigau . %mov:"20424"_962758_963453
  7. CHIumimimi . %mov:"20424"_964079_966576
    CHIumimimi . %mov:"20424"_966576_969696
    FAT*FAT: umi itte nani sun no ? %mov:"20424"_969696_970724
    CHIkoote [: kooshite] ne # bachabacha@o sun no . %mov:"20424"_970724_975288
    FATaa, bachabacha@o sun no . %mov:"20424"_975288_976240
  8. CHIsugo # Jun wa sugoi nee . %mov:"20424"_980220_983201
    FATJun wa sugoi nee . %mov:"20424"_983201_983201
    FAT*FAT: umi de oyoida ? %mov:"20424"_984315_986488
    CHIyoyoida [: oyoida] . %mov:"20424"_986488_988058
    FATbachabacha@o shita ne ? %mov:"20424"_988058_990325
  9. FATdoko e ? %mov:"20424"_1357321_1358072
    CHImimi . %mov:"20424"_1358072_1359084
    FAT*FAT: umi . %mov:"20424"_1359084_1359834
    CHImimi . %mov:"20424"_1359834_1361484
    FATu . %mov:"20424"_1361484_1362056
  10. CHIumimimi . %mov:"20424"_1362056_1362056
    FATchigau . %mov:"20424"_1364315_1365055
    FAT*FAT: umi . %mov:"20424"_1365055_1365787
    CHIumi . %mov:"20424"_1365787_1367225
    FATun . %mov:"20424"_1367225_1367834

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_ishii8.92
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20424.chaJun 2;4.241,12110108.92

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. umi10 · 100.0%