PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

2.04 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (698 utterances, 1,957 words searched).

  1. nani yuuta,, ima ? %mov:"30816"_1304820_1307257 FAT · japanese_ishii/30816.cha, line 693 · Jun 3;08
  2. soo ya, ima wa tometaan [: tometearu] nya,, himo de . %mov:"30816"_1773319_17755… FAT · japanese_ishii/30816.cha, line 897 · Jun 3;08
  3. un, ima dashiten no ka na ? %mov:"30816"_2866574_2867964 FAT · japanese_ishii/30816.cha, line 1433 · Jun 3;08
  4. nan yatta ka na,, ima no . %mov:"30816"_2879676_2881919 FAT · japanese_ishii/30816.cha, line 1443 · Jun 3;08
  1. japanese_ishii/30816.cha, line 693 · Jun, 3;8.16
    FATtaiyoo ga atatten ne . %mov:"30816"_1295045_1296639
    FATe ? %mov:"30816"_1296639_1304820
    FAT*FAT: nani yuuta,, ima ? %mov:"30816"_1304820_1307257
    CHIpiipopiipopii@o . %mov:"30816"_1307257_1310703
    CHIpiipopiipopii@o piipopiipopii@o piipopiipopii@o . %mov:"30816"_1310703_1320778
  2. japanese_ishii/30816.cha, line 897 · Jun, 3;8.16
    FATnoreru zo . %mov:"30816"_1770016_1770894
    CHIhora, himo de ugokahen zo . %mov:"30816"_1770894_1773319
    FAT*FAT: soo ya, ima wa tometaan [: tometearu] nya,, himo de . %mov:"30816"_1773319_1775552
    FATugoku toki wa sore hazusu no ya . %mov:"30816"_1775552_1777915
    FATippen fune noroo ka, Jun . %mov:"30816"_1777915_1780393
  3. japanese_ishii/30816.cha, line 1433 · Jun, 3;8.16
    CHIun . %mov:"30816"_2862920_2863796
    CHImoo dashita n . %mov:"30816"_2863796_2866574
    FAT*FAT: un, ima dashiten no ka na ? %mov:"30816"_2866574_2867964
    CHIdashiteru yo, hora . %mov:"30816"_2867964_2869462
    FATnoseten no ka na ? %mov:"30816"_2869462_2870721
  4. japanese_ishii/30816.cha, line 1443 · Jun, 3;8.16
    CHIpyuu@o tte naru yaro ? %mov:"30816"_2876639_2879228
    FATun . %mov:"30816"_2879228_2879676
    FAT*FAT: nan yatta ka na,, ima no . %mov:"30816"_2879676_2881919
    CHInan da,, kore ? %mov:"30816"_2881919_2883013
    FATe ? %mov:"30816"_2883013_2884090

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_ishii2.04
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/30816.chaJun 3;8.161,957442.04

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. ima4 · 100.0%