PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

4.55 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (432 utterances, 1,099 words searched).

  1. hottara [: nagetara] dame . %mov:"20511"_728300_729057 FAT · japanese_ishii/20511.cha, line 388 · Jun 2;05
  2. kawaisoo ya ,, hottara . %mov:"20511"_733016_734463 FAT · japanese_ishii/20511.cha, line 391 · Jun 2;05
  3. hottara dame yo . %mov:"20511"_743770_744952 FAT · japanese_ishii/20511.cha, line 397 · Jun 2;05
  4. hottara Otoosan doo sun no ? %mov:"20511"_748253_751782 FAT · japanese_ishii/20511.cha, line 399 · Jun 2;05
  5. hottara dame desu yo [<] . %mov:"20511"_1413170_1416146 FAT · japanese_ishii/20511.cha, line 687 · Jun 2;05
  1. FATnyuryunyuryu@o [<] . %mov:"20511"_723410_726954
    CHIxxx ! %mov:"20511"_726954_728300
    FAT*FAT: hottara [: nagetara] dame . %mov:"20511"_728300_729057
    CHIkawaishoni . %mov:"20511"_729057_732517
    FATsoo ya . %mov:"20511"_732517_733016
  2. CHIkawaishoni . %mov:"20511"_729057_732517
    FATsoo ya . %mov:"20511"_732517_733016
    FAT*FAT: kawaisoo ya ,, hottara . %mov:"20511"_733016_734463
    FATwakatta ? %mov:"20511"_734463_737300
    FATwakarimashita ? %mov:"20511"_737300_739893
  3. FATwakatta ? %mov:"20511"_741271_741854
    CHIwakatta chau . %mov:"20511"_741854_743770
    FAT*FAT: hottara dame yo . %mov:"20511"_743770_744952
    FATn ? %mov:"20511"_744952_748253
    FAThottara Otoosan doo sun no ? %mov:"20511"_748253_751782
  4. FAThottara dame yo . %mov:"20511"_743770_744952
    FATn ? %mov:"20511"_744952_748253
    FAT*FAT: hottara Otoosan doo sun no ? %mov:"20511"_748253_751782
    FATkoo sun nyaro ? %mov:"20511"_751782_755725
    CHIiya . %mov:"20511"_755725_756783
  5. FATsore basu ya nee ? %mov:"20511"_1412205_1413170
    CHIkoree [>] . %mov:"20511"_1413170_1416146
    FAT*FAT: hottara dame desu yo [<] . %mov:"20511"_1413170_1416146
    CHIxxx ! %mov:"20511"_1416146_1419599
    FATa, kowareta . %mov:"20511"_1419599_1423266

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_ishii4.55
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20511.chaJun 2;5.111,099554.55

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. hottara5 · 100.0%