PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

5.02 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (405 utterances, 996 words searched).

  1. sore mata ochiru yoo . %mov:"20320"_596526_597833 FAT · japanese_ishii/20320.cha, line 307 · Jun 2;03
  2. un, naoso ne,, mata . %mov:"20320"_938431_939704 FAT · japanese_ishii/20320.cha, line 466 · Jun 2;03
  3. mata tonneru tsukun no ? %mov:"20320"_1685602_1687038 FAT · japanese_ishii/20320.cha, line 766 · Jun 2;03
  4. tonneru # mata tonneru ? %mov:"20320"_1698407_1699688 FAT · japanese_ishii/20320.cha, line 771 · Jun 2;03
  5. mata tonneru choodai te ka ? %mov:"20320"_1706801_1708634 FAT · japanese_ishii/20320.cha, line 775 · Jun 2;03
  1. FATsore ochiru yo . %mov:"20320"_594557_595497
    CHIn ? %mov:"20320"_595497_596526
    FAT*FAT: sore mata ochiru yoo . %mov:"20320"_596526_597833
    FATochinai ? %mov:"20320"_597833_598852
    CHIochinai . %mov:"20320"_598852_600090
  2. CHIkowareta naote [: naoshite] . %mov:"20320"_935873_937445
    CHItotte yoo . %mov:"20320"_937445_937445
    FAT*FAT: un, naoso ne,, mata . %mov:"20320"_938431_939704
    CHIn ? %mov:"20320"_939704_941036
    CHIkoko itta wa . %mov:"20320"_941036_945690
  3. FATaa ! %mov:"20320"_1672069_1672640
    FATnani tsukun no ? %mov:"20320"_1672640_1685602
    FAT*FAT: mata tonneru tsukun no ? %mov:"20320"_1685602_1687038
    FATu ? %mov:"20320"_1687038_1691104
    CHImata tonnebo xxx . %mov:"20320"_1691104_1695187
  4. FATe ? %mov:"20320"_1695187_1695571
    CHImata tonneru xxx . %mov:"20320"_1695571_1698407
    FAT*FAT: tonneru # mata tonneru ? %mov:"20320"_1698407_1699688
    CHImata tonneru . %mov:"20320"_1699688_1701410
    CHImata . %mov:"20320"_1701410_1703293
  5. CHImata . %mov:"20320"_1701410_1703293
    CHImata tonneru iranai ? %mov:"20320"_1703293_1703293
    FAT*FAT: mata tonneru choodai te ka ? %mov:"20320"_1706801_1708634
    FATsonna shitara akan ne . %mov:"20320"_1708634_1709717
    FATsoshitara takasugiru yaro ? %mov:"20320"_1709717_1711240

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_ishii5.02
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20320.chaJun 2;3.20996555.02

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. mata5 · 100.0%