PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

10.68 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (206 utterances, 468 words searched).

  1. dare (da),, are (wa) . %mov:"10000"_8129_10350 FAT · japanese_ishii/10000.cha, line 17 · Jun 1;00
  2. dare,, are . %mov:"10000"_433503_434515 FAT · japanese_ishii/10000.cha, line 212 · Jun 1;00
  3. dare,, are (wa) . %mov:"10000"_441635_442532 FAT · japanese_ishii/10000.cha, line 218 · Jun 1;00
  4. are ka ? %mov:"10000"_856659_857567 FAT · japanese_ishii/10000.cha, line 377 · Jun 1;00
  5. are (o) aa aa shita no ? %mov:"10000"_857567_858760 FAT · japanese_ishii/10000.cha, line 378 · Jun 1;00
  1. FATnani ya [: da] . %mov:"10000"_1163_1251
    FATxxx # yoisho ! %mov:"10000"_1251_8129
    FAT*FAT: dare (da),, are (wa) . %mov:"10000"_8129_10350
    FATdare deshu [: desu] ka . %mov:"10000"_10350_11315
    FATwa ! %mov:"10000"_11315_12609
  2. FATaa a . %mov:"10000"_417929_419951
    FATa, dare ka kita, hora . %mov:"10000"_430769_433503
    FAT*FAT: dare,, are . %mov:"10000"_433503_434515
    FATdare ya ? %mov:"10000"_434515_436384
    FATa, Oniichaan ! %mov:"10000"_436384_438066
  3. FATOniichaan tte . %mov:"10000"_438066_440811
    FATooi ! %mov:"10000"_440811_441635
    FAT*FAT: dare,, are (wa) . %mov:"10000"_441635_442532
    FATdare ka naa ? %mov:"10000"_442532_444062
    FATdare ka naa ? %mov:"10000"_444062_446690
  4. FATyuute [: itte] [>] . %mov:"10000"_856039_856659
    CHInna [<] . %mov:"10000"_856039_856659
    FAT*FAT: are ka ? %mov:"10000"_856659_857567
    FATare (o) aa aa shita no ? %mov:"10000"_857567_858760
    FATano ohana (o) aa aa shita no . %mov:"10000"_858760_861746
  5. CHInna [<] . %mov:"10000"_856039_856659
    FATare ka ? %mov:"10000"_856659_857567
    FAT*FAT: are (o) aa aa shita no ? %mov:"10000"_857567_858760
    FATano ohana (o) aa aa shita no . %mov:"10000"_858760_861746
    FATsotchi (e) ittara dame ya [: da] . %mov:"10000"_861746_863153

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_ishii10.68
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/10000.chaJun 1;0.014685510.68

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. are5 · 100.0%