PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.92 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (629 utterances, 1,710 words searched).

  1. moo owari ka ? %mov:"30509"_624459_625328 FAT · japanese_ishii/30509.cha, line 364 · Jun 3;05
  2. moo owari . %mov:"30509"_1235343_1236032 FAT · japanese_ishii/30509.cha, line 690 · Jun 3;05
  3. moo hi ga kieta kara kaeru ne . %mov:"30509"_1383478_1386313 FAT · japanese_ishii/30509.cha, line 770 · Jun 3;05
  4. nan ya, moo gohon owari ? %mov:"30509"_1729610_1733809 FAT · japanese_ishii/30509.cha, line 965 · Jun 3;05
  5. moo miihin nya kara . %mov:"30509"_1744940_1745896 FAT · japanese_ishii/30509.cha, line 971 · Jun 3;05
  1. CHIare ? %mov:"30509"_621996_623367
    CHImoo owari . %mov:"30509"_623367_624459
    FAT*FAT: moo owari ka ? %mov:"30509"_624459_625328
    FATkondo wa nan no gohon desu ka ? %mov:"30509"_625328_629233
    CHItorakku no gohon . %mov:"30509"_629233_632934
  2. FATsoo [/] soo [/] soo [/] soo . %mov:"30509"_1224679_1225430
    CHIhonde moo miihin [: minai] . %mov:"30509"_1225430_1235343
    FAT*FAT: moo owari . %mov:"30509"_1235343_1236032
    CHIhayai yaro ? %mov:"30509"_1236032_1238223
    FATkondo wa ? %mov:"30509"_1238223_1240646
  3. CHIdokka iku no,, kore ? %mov:"30509"_1378893_1382526
    FATun . %mov:"30509"_1382526_1383478
    FAT*FAT: moo hi ga kieta kara kaeru ne . %mov:"30509"_1383478_1386313
    CHIun . %mov:"30509"_1386313_1387094
    CHIkore wa ? %mov:"30509"_1387094_1387946
  4. FATraamen taben nya . %mov:"30509"_1728736_1729610
    CHInottekudasai . %mov:"30509"_1729610_1732453
    FAT*FAT: nan ya, moo gohon owari ? %mov:"30509"_1729610_1733809
    CHIun . %mov:"30509"_1733809_1734510
    CHIowari . %mov:"30509"_1734510_1737561
  5. FATnande ya . %mov:"30509"_1740880_1741681
    CHImoo miihin [: minai] nya kara . %mov:"30509"_1741681_1744940
    FAT*FAT: moo miihin nya kara . %mov:"30509"_1744940_1745896
    CHIun . %mov:"30509"_1745896_1746452
    FATmiyoo yo . %mov:"30509"_1746452_1747408

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_ishii2.92
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/30509.chaJun 3;05.091,710552.92

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. moo5 · 100.0%