PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.45 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (897 utterances, 2,044 words searched).

  1. moo inai ka ? %mov:"20726"_1606661_1608649 FAT · japanese_ishii/20726.cha, line 902 · Jun 2;07
  2. moo owari ka ? %mov:"20726"_1842185_1843305 FAT · japanese_ishii/20726.cha, line 1040 · Jun 2;07
  3. moo@o ya . %mov:"20726"_2266278_2267754 FAT · japanese_ishii/20726.cha, line 1329 · Jun 2;07
  4. moo@o . %mov:"20726"_2270357_2271626 FAT · japanese_ishii/20726.cha, line 1331 · Jun 2;07
  5. Kamenraidaa mita yo,, moo . %mov:"20726"_2386280_2387867 FAT · japanese_ishii/20726.cha, line 1400 · Jun 2;07
  1. FAToyoideru naa . %mov:"20726"_1604033_1605841
    FATmada iru yaro ? %mov:"20726"_1605841_1606661
    FAT*FAT: moo inai ka ? %mov:"20726"_1606661_1608649
    FATkore nan ya ? %mov:"20726"_1608649_1609181
    CHIdaion [: raion] . %mov:"20726"_1609181_1611271
  2. CHIfutto [?] . %mov:"20726"_1839341_1841410
    CHImitemi . %mov:"20726"_1841410_1842185
    FAT*FAT: moo owari ka ? %mov:"20726"_1842185_1843305
    CHImoo owari . %mov:"20726"_1843305_1844372
    CHImada aru # pengin # hore . %mov:"20726"_1844372_1848034
  3. CHIushi wa # <guguu@o xxx> [>] . %mov:"20726"_2262813_2266278
    FATchigau [<] . %mov:"20726"_2262813_2266278
    FAT*FAT: moo@o ya . %mov:"20726"_2266278_2267754
    CHIushi wa +... %mov:"20726"_2267754_2270357
    FATmoo@o . %mov:"20726"_2270357_2271626
  4. FATmoo@o ya . %mov:"20726"_2266278_2267754
    CHIushi wa +... %mov:"20726"_2267754_2270357
    FAT*FAT: moo@o . %mov:"20726"_2270357_2271626
    CHIushi wa uu@o . %mov:"20726"_2271626_2273134
    FATuu@o ka . %mov:"20726"_2273134_2274443
  5. FATsore mita yoo . %mov:"20726"_2383669_2385200
    CHIn ? %mov:"20726"_2385200_2386280
    FAT*FAT: Kamenraidaa mita yo,, moo . %mov:"20726"_2386280_2387867
    CHImiterunai [: mitenai] . %mov:"20726"_2387867_2389659
    FATmita yan, ima . %mov:"20726"_2389659_2390542

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_ishii2.45
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20726.chaJun 2;7.262,044552.45

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. moo5 · 100.0%