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. sore mada mitenai . %mov:"20726"_2184987_2186401 FAT · japanese_ishii/20726.cha, line 1281 · Jun 2;07
  2. mada mitenai, sore . %mov:"20726"_2188377_2189619 FAT · japanese_ishii/20726.cha, line 1283 · Jun 2;07
  3. mitenai yo,, mada . %mov:"20726"_2199014_2200205 FAT · japanese_ishii/20726.cha, line 1286 · Jun 2;07
  4. mitenai yo,, mada . %mov:"20726"_2855058_2856028 FAT · japanese_ishii/20726.cha, line 1670 · Jun 2;07
  5. hora, mitenai . %mov:"20726"_2861571_2862280 FAT · japanese_ishii/20726.cha, line 1674 · Jun 2;07
  1. FATsore mita [/] mita . %mov:"20726"_2180956_2181814
    CHIkore wa ? %mov:"20726"_2181814_2184987
    FAT*FAT: sore mada mitenai . %mov:"20726"_2184987_2186401
    CHIn ? %mov:"20726"_2186401_2188377
    FATmada mitenai, sore . %mov:"20726"_2188377_2189619
  2. FATsore mada mitenai . %mov:"20726"_2184987_2186401
    CHIn ? %mov:"20726"_2186401_2188377
    FAT*FAT: mada mitenai, sore . %mov:"20726"_2188377_2189619
    FATsore mita ka ? %mov:"20726"_2189619_2197465
    CHImita yo . %mov:"20726"_2197465_2199014
  3. FATsore mita ka ? %mov:"20726"_2189619_2197465
    CHImita yo . %mov:"20726"_2197465_2199014
    FAT*FAT: mitenai yo,, mada . %mov:"20726"_2199014_2200205
    CHImitenai . %mov:"20726"_2200205_2201305
    FATun . %mov:"20726"_2201305_2202049
  4. CHIkore noketto [: roketto] no +... %mov:"20726"_2850891_2852673
    CHIkore mita naa . %mov:"20726"_2852673_2855058
    FAT*FAT: mitenai yo,, mada . %mov:"20726"_2855058_2856028
    CHImitenai ? %mov:"20726"_2856028_2857772
    FATun, mada . %mov:"20726"_2857772_2858474
  5. FATun, mada . %mov:"20726"_2857772_2858474
    CHIchotto miyoo . %mov:"20726"_2858474_2861571
    FAT*FAT: hora, mitenai . %mov:"20726"_2861571_2862280
    FATkoko nani, kore ? %mov:"20726"_2862280_2863205
    FATkore [/] kore ya # kore ya . %mov:"20726"_2863205_2864766

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. mitenai5 · 100.0%