PHPCLANCHILDES with regular expressions

6 matches in 5 utterances

3.37 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (720 utterances, 1,780 words searched).

  1. mieta . %mov:"30112"_1620467_1621431 FAT · japanese_ishii/30112.cha, line 987 · Jun 3;01
  2. hora, mieta . %mov:"30112"_1711515_1712538 FAT · japanese_ishii/30112.cha, line 1051 · Jun 3;01
  3. mieta [/] mieta . %mov:"30112"_1871206_1872139 FAT · japanese_ishii/30112.cha, line 1162 · Jun 3;01
  4. mieta [/] mieta . %mov:"30112"_1871206_1872139 FAT · japanese_ishii/30112.cha, line 1162 · Jun 3;01
  5. mieta . %mov:"30112"_1899938_1900684 FAT · japanese_ishii/30112.cha, line 1182 · Jun 3;01
  6. mieta . %mov:"30112"_1901946_1902741 FAT · japanese_ishii/30112.cha, line 1184 · Jun 3;01
  1. CHIkore wa ? %mov:"30112"_1616478_1617812
    CHIoo [/-] Hok [//] Hokuto wa ? %mov:"30112"_1617812_1620467
    FAT*FAT: mieta . %mov:"30112"_1620467_1621431
    CHIkore wa ? %mov:"30112"_1621431_1623467
    CHIOotori wa ? %mov:"30112"_1623467_1624315
  2. FATmiehen yan . %mov:"30112"_1710603_1711515
    CHIhora . %mov:"30112"_1711515_1711935
    FAT*FAT: hora, mieta . %mov:"30112"_1711515_1712538
    CHIkore wa ? %mov:"30112"_1712538_1714136
    CHIna [>] . %mov:"30112"_1712538_1717070
  3. FATun . %mov:"30112"_1869713_1870643
    CHIkore wa ? %mov:"30112"_1870643_1871206
    FAT*FAT: mieta [/] mieta . %mov:"30112"_1871206_1872139
    CHIkore wa ? %mov:"30112"_1872139_1873375
    FATmienai . %mov:"30112"_1873375_1874223
  4. FATAmerika ga mienai . %mov:"30112"_1892156_1893971
    CHImieru yan, hora, kon'nake [: koredake] ya shi [: kara] . %mov:"30112"_1893971_1899938
    FAT*FAT: mieta . %mov:"30112"_1899938_1900684
    CHIkore wa ? %mov:"30112"_1900684_1901946
    FATmieta . %mov:"30112"_1901946_1902741
  5. FATmieta . %mov:"30112"_1899938_1900684
    CHIkore wa ? %mov:"30112"_1900684_1901946
    FAT*FAT: mieta . %mov:"30112"_1901946_1902741
    CHIkore wa ? %mov:"30112"_1902741_1903533
    FATmienai . %mov:"30112"_1903533_1904277

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_ishii3.37
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/30112.chaJun 3;1.121,780563.37

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. mieta6 · 100.0%