PHPCLANCHILDES with regular expressions

10 matches in 9 utterances

11.11 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (356 utterances, 900 words searched).

  1. basu ka . %mov:"20023"_312524_313740 FAT · japanese_ishii/20023.cha, line 223 · Jun 2;00
  2. basu nani ? %mov:"20023"_318507_318507 FAT · japanese_ishii/20023.cha, line 227 · Jun 2;00
  3. basu ya nee,, sore . %mov:"20023"_335483_336809 FAT · japanese_ishii/20023.cha, line 242 · Jun 2;00
  4. oniichan basu motte nani shiten no ? %mov:"20023"_336809_339684 FAT · japanese_ishii/20023.cha, line 243 · Jun 2;00
  5. un, Jun basu motten [: motteru] nee ? %mov:"20023"_361606_362931 FAT · japanese_ishii/20023.cha, line 261 · Jun 2;00
  6. un, issho no basu ya nee . %mov:"20023"_366276_368343 FAT · japanese_ishii/20023.cha, line 265 · Jun 2;00
  7. basu # doko iku no,, sono basu ? %mov:"20023"_778535_780408 FAT · japanese_ishii/20023.cha, line 550 · Jun 2;00
  8. basu # doko iku no,, sono basu ? %mov:"20023"_778535_780408 FAT · japanese_ishii/20023.cha, line 550 · Jun 2;00
  9. basu . %mov:"20023"_806393_807181 FAT · japanese_ishii/20023.cha, line 571 · Jun 2;00
  10. bashu [: basu] . %mov:"20023"_830609_831254 FAT · japanese_ishii/20023.cha, line 594 · Jun 2;00
  1. japanese_ishii/20023.cha, line 223 · Jun, 2;0.23
    FATaa aa . %mov:"20023"_310372_311185
    CHIbasu wa . %mov:"20023"_311185_312524
    FAT*FAT: basu ka . %mov:"20023"_312524_313740
    CHImeen wa. %mov:"20023"_313740_316718
    FATn ? %mov:"20023"_316718_317700
  2. japanese_ishii/20023.cha, line 227 · Jun, 2;0.23
    FATn ? %mov:"20023"_316718_317700
    CHIbashu . %mov:"20023"_317700_318507
    FAT*FAT: basu nani ? %mov:"20023"_318507_318507
    CHImeen wa . %mov:"20023"_319367_320378
    FATmiehen [: mienai] ? %mov:"20023"_320378_321282
  3. japanese_ishii/20023.cha, line 242 · Jun, 2;0.23
    FATun . %mov:"20023"_333295_333932
    CHIhoa buubuu no bashu . %mov:"20023"_333932_333932
    FAT*FAT: basu ya nee,, sore . %mov:"20023"_335483_336809
    FAToniichan basu motte nani shiten no ? %mov:"20023"_336809_339684
    CHInene. %mov:"20023"_339684_341252
  4. japanese_ishii/20023.cha, line 243 · Jun, 2;0.23
    CHIhoa buubuu no bashu . %mov:"20023"_333932_333932
    FATbasu ya nee,, sore . %mov:"20023"_335483_336809
    FAT*FAT: oniichan basu motte nani shiten no ? %mov:"20023"_336809_339684
    CHInene. %mov:"20023"_339684_341252
    FATnenne shiten no . %mov:"20023"_341252_342345
  5. japanese_ishii/20023.cha, line 261 · Jun, 2;0.23
    FATJun no buubuu@o ka ? %mov:"20023"_357259_358336
    CHIJun bashu . %mov:"20023"_358336_361606
    FAT*FAT: un, Jun basu motten [: motteru] nee ? %mov:"20023"_361606_362931
    CHIJun ya . %mov:"20023"_362931_363643
    FATissho no motten nee ? %mov:"20023"_363643_364781
  6. japanese_ishii/20023.cha, line 265 · Jun, 2;0.23
    FATissho no motten nee ? %mov:"20023"_363643_364781
    CHIissho buubuu . %mov:"20023"_364781_366276
    FAT*FAT: un, issho no basu ya nee . %mov:"20023"_366276_368343
    CHIissho buubuu . %mov:"20023"_368343_369976
    FATun . %mov:"20023"_369976_370640
  7. japanese_ishii/20023.cha, line 550 · Jun, 2;0.23
    CHIaye ? %mov:"20023"_775907_777756
    CHIbashu ya . %mov:"20023"_777756_778535
    FAT*FAT: basu # doko iku no,, sono basu ? %mov:"20023"_778535_780408
    CHIbaibaai tte. %mov:"20023"_780408_782387
    FATun . %mov:"20023"_782387_782835
  8. japanese_ishii/20023.cha, line 571 · Jun, 2;0.23
    CHIhoa . %mov:"20023"_803895_805227
    CHIbashu . %mov:"20023"_805227_806393
    FAT*FAT: basu . %mov:"20023"_806393_807181
    CHItoakku . %mov:"20023"_807181_807839
    FATtorakku . %mov:"20023"_807839_808540
  9. japanese_ishii/20023.cha, line 594 · Jun, 2;0.23
    FATnai . %mov:"20023"_828968_829718
    CHIbashu wa . %mov:"20023"_829718_830609
    FAT*FAT: bashu [: basu] . %mov:"20023"_830609_831254
    CHIbuu [>] ! %mov:"20023"_831254_834216
    FATuun [<] . %mov:"20023"_831254_834216

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_ishii11.11
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20023.chaJun 2;0.2390091011.11

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. basu10 · 100.0%