PHPCLANCHILDES with regular expressions

10 matches in 10 utterances

5.45 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (726 utterances, 1,836 words searched).

  1. Otoosan [<] dotchi iku no ? %mov:"30217"_24448_26475 FAT · japanese_ishii/30217.cha, line 30 · Jun 3;02
  2. Otoosan kotchi ka [<] ? %mov:"30217"_26475_27376 FAT · japanese_ishii/30217.cha, line 32 · Jun 3;02
  3. Otoosan dore kashitekuren no ? %mov:"30217"_196851_198565 FAT · japanese_ishii/30217.cha, line 128 · Jun 3;02
  4. Otoosan sono kuroi no kashite yo . %mov:"30217"_287262_288978 FAT · japanese_ishii/30217.cha, line 187 · Jun 3;02
  5. Otoosan xxx . %mov:"30217"_355266_356432 FAT · japanese_ishii/30217.cha, line 214 · Jun 3;02
  6. Otoosan nani sun no ? %mov:"30217"_1451546_1453488 FAT · japanese_ishii/30217.cha, line 771 · Jun 3;02
  7. nna Otoosan nani sun no . %mov:"30217"_1461703_1462819 FAT · japanese_ishii/30217.cha, line 779 · Jun 3;02
  8. Otoosan suru mon nai yan ka . %mov:"30217"_1465678_1468093 FAT · japanese_ishii/30217.cha, line 783 · Jun 3;02
  9. Otoosan kotchi no hoo ga ii wa . %mov:"30217"_1595659_1596858 FAT · japanese_ishii/30217.cha, line 848 · Jun 3;02
  10. Otoosan motteyo ka ? %mov:"30217"_2363538_2364777 FAT · japanese_ishii/30217.cha, line 1179 · Jun 3;02
  1. CHIutte ya . %mov:"30217"_23802_24448
    CHIJunkun [>] +... %mov:"30217"_24448_26475
    FAT*FAT: Otoosan [<] dotchi iku no ? %mov:"30217"_24448_26475
    CHIkotchi [>] . %mov:"30217"_26475_27376
    FATOtoosan kotchi ka [<] ? %mov:"30217"_26475_27376
  2. FATOtoosan [<] dotchi iku no ? %mov:"30217"_24448_26475
    CHIkotchi [>] . %mov:"30217"_26475_27376
    FAT*FAT: Otoosan kotchi ka [<] ? %mov:"30217"_26475_27376
    FATyooshi . %mov:"30217"_27376_29014
    FATdoo sun no ? %mov:"30217"_29014_29811
  3. CHIOtoosan mo aka ya,, kore . %mov:"30217"_194959_196334
    FATa, honto . %mov:"30217"_196334_196851
    FAT*FAT: Otoosan dore kashitekuren no ? %mov:"30217"_196851_198565
    CHIkore . %mov:"30217"_198565_199701
    FATdore ya . %mov:"30217"_199701_200785
  4. FATJunkun no bakkari ii no yan ka . %mov:"30217"_282096_286085
    FATJunkun ii no bakkari yan ka . %mov:"30217"_286085_287262
    FAT*FAT: Otoosan sono kuroi no kashite yo . %mov:"30217"_287262_288978
    CHIdore ga ichiban ii ? %mov:"30217"_288978_292071
    FATkuro . %mov:"30217"_292071_292718
  5. FATun, soide [: sorede] ii wa . %mov:"30217"_347327_348135
    FATuun, Junkun ii no bakkari ya na . %mov:"30217"_348135_355266
    FAT*FAT: Otoosan xxx . %mov:"30217"_355266_356432
    CHIMaserattii to +... %mov:"30217"_356432_358567
    FATkonna kitanai no shika kashitekureharahen . %mov:"30217"_358567_360846
  6. CHImada . %mov:"30217"_1448368_1449213
    CHIkore # Junkun ga sun no,, kore wa . %mov:"30217"_1449213_1451546
    FAT*FAT: Otoosan nani sun no ? %mov:"30217"_1451546_1453488
    CHIkore ya . %mov:"30217"_1453488_1454687
    CHIkore wa dame yo . %mov:"30217"_1454687_1456332
  7. FAToshigoto no ya kara ? %mov:"30217"_1460367_1461209
    CHIun . %mov:"30217"_1461209_1461703
    FAT*FAT: nna Otoosan nani sun no . %mov:"30217"_1461703_1462819
    CHIanonaa +... %mov:"30217"_1462819_1463869
    FATun . %mov:"30217"_1463869_1464689
  8. FATun . %mov:"30217"_1463869_1464689
    CHIkore mo shigoto . %mov:"30217"_1464689_1465678
    FAT*FAT: Otoosan suru mon nai yan ka . %mov:"30217"_1465678_1468093
    FATJunkun bakkari yan ka . %mov:"30217"_1468093_1469660
    CHIkore shite ii wa . %mov:"30217"_1469660_1472857
  9. CHIOtoosan mo konna n suru ? %mov:"30217"_1587823_1594691
    FATiya . %mov:"30217"_1594691_1595659
    FAT*FAT: Otoosan kotchi no hoo ga ii wa . %mov:"30217"_1595659_1596858
    CHIshinai ? %mov:"30217"_1596858_1597866
    FATun, gasorin ireru . %mov:"30217"_1597866_1598933
  10. FAThanashitara akan . %mov:"30217"_2360029_2362698
    FATmottena akan wa . %mov:"30217"_2362698_2363538
    FAT*FAT: Otoosan motteyo ka ? %mov:"30217"_2363538_2364777
    CHIun . %mov:"30217"_2364777_2365523
    CHIkore to . %mov:"30217"_2365523_2365979

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_ishii5.45
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/30217.chaJun 3;2.171,83610105.45

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. otoosan10 · 100.0%