PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

2.38 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (688 utterances, 1,682 words searched).

  1. kore takusan taiya tsuiten naa . %mov:"20706"_795589_799926 FAT · japanese_ishii/20706.cha, line 428 · Jun 2;07
  2. taiya ga takusan tsuiteru naa . %mov:"20706"_800768_802909 FAT · japanese_ishii/20706.cha, line 430 · Jun 2;07
  3. un, takusan aru nee,, taiya . %mov:"20706"_818440_820227 FAT · japanese_ishii/20706.cha, line 438 · Jun 2;07
  4. aa, reeshingukaa mo taiya takusan aru yan,, ookii no to chiisai no to # naa ? %mov:"20706"_896… FAT · japanese_ishii/20706.cha, line 472 · Jun 2;07
  1. japanese_ishii/20706.cha, line 428 · Jun, 2;7.06
    FATsonna shitara dame da yo . %mov:"20706"_793048_794943
    CHIn ? %mov:"20706"_794943_795589
    FAT*FAT: kore takusan taiya tsuiten naa . %mov:"20706"_795589_799926
    CHIn ? %mov:"20706"_799926_800768
    FATtaiya ga takusan tsuiteru naa . %mov:"20706"_800768_802909
  2. japanese_ishii/20706.cha, line 430 · Jun, 2;7.06
    FATkore takusan taiya tsuiten naa . %mov:"20706"_795589_799926
    CHIn ? %mov:"20706"_799926_800768
    FAT*FAT: taiya ga takusan tsuiteru naa . %mov:"20706"_800768_802909
    CHItsuiteru de . %mov:"20706"_802909_804328
    FATun . %mov:"20706"_804328_804864
  3. japanese_ishii/20706.cha, line 438 · Jun, 2;7.06
    CHIa, yooke [: takusan] aru wa,, taiya, hora . %mov:"20706"_812905_817873
    FATa, sore mo +... %mov:"20706"_817873_818440
    FAT*FAT: un, takusan aru nee,, taiya . %mov:"20706"_818440_820227
    FATkore to issho ya naa, hora . %mov:"20706"_820227_822701
    CHImaatta [: mawatta] de . %mov:"20706"_822701_828634
  4. japanese_ishii/20706.cha, line 472 · Jun, 2;7.06
    CHIbubuu@o xxx . %mov:"20706"_891110_894371
    CHIhora, konna natten de . %mov:"20706"_894371_896142
    FAT*FAT: aa, reeshingukaa mo taiya takusan aru yan,, ookii no to chiisai no to # naa ? %mov:"20706"_896142_901129
    CHIn ? %mov:"20706"_901129_901541
    CHIreeshinkaa ? %mov:"20706"_901541_903750

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_ishii2.38
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20706.chaJun 2;7.061,682442.38

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. taiya4 · 100.0%