PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

25.97 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (118 utterances, 308 words searched).

  1. <wanwan@o nennee> [>] shite kudasai . %mov:"10616"_202629_208052 FAT · japanese_ishii/10616.cha, line 122 · Jun 1;06
  2. wanwan@o nennee shite kudasai . %mov:"10616"_208052_209512 FAT · japanese_ishii/10616.cha, line 123 · Jun 1;06
  3. nennee [<] . %mov:"10616"_209512_211315 FAT · japanese_ishii/10616.cha, line 126 · Jun 1;06
  4. nennee shita . %mov:"10616"_211315_213228 FAT · japanese_ishii/10616.cha, line 127 · Jun 1;06
  5. nennee shinasai . %mov:"10616"_217453_219476 FAT · japanese_ishii/10616.cha, line 131 · Jun 1;06
  6. wanwan@o nennee shinasai . %mov:"10616"_219476_221407 FAT · japanese_ishii/10616.cha, line 132 · Jun 1;06
  7. nennee . %mov:"10616"_224301_225152 FAT · japanese_ishii/10616.cha, line 138 · Jun 1;06
  8. nennee . %mov:"10616"_231613_232873 FAT · japanese_ishii/10616.cha, line 148 · Jun 1;06
  1. japanese_ishii/10616.cha, line 122 · Jun, 1;6.16
    CHIaa . %mov:"10616"_201143_202629
    CHIbaa [<] . %mov:"10616"_202629_208052
    FAT*FAT: <wanwan@o nennee> [>] shite kudasai . %mov:"10616"_202629_208052
    FATwanwan@o nennee shite kudasai . %mov:"10616"_208052_209512
    CHInennee [>] . %mov:"10616"_209512_211315
  2. japanese_ishii/10616.cha, line 123 · Jun, 1;6.16
    CHIbaa [<] . %mov:"10616"_202629_208052
    FAT<wanwan@o nennee> [>] shite kudasai . %mov:"10616"_202629_208052
    FAT*FAT: wanwan@o nennee shite kudasai . %mov:"10616"_208052_209512
    CHInennee [>] . %mov:"10616"_209512_211315
    FATnennee [<] . %mov:"10616"_209512_211315
  3. japanese_ishii/10616.cha, line 126 · Jun, 1;6.16
    FATwanwan@o nennee shite kudasai . %mov:"10616"_208052_209512
    CHInennee [>] . %mov:"10616"_209512_211315
    FAT*FAT: nennee [<] . %mov:"10616"_209512_211315
    FATnennee shita . %mov:"10616"_211315_213228
    FAThai, tatchii . %mov:"10616"_213228_214807
  4. japanese_ishii/10616.cha, line 127 · Jun, 1;6.16
    CHInennee [>] . %mov:"10616"_209512_211315
    FATnennee [<] . %mov:"10616"_209512_211315
    FAT*FAT: nennee shita . %mov:"10616"_211315_213228
    FAThai, tatchii . %mov:"10616"_213228_214807
    FATtatchii shite kudasai . %mov:"10616"_214807_215797
  5. japanese_ishii/10616.cha, line 131 · Jun, 1;6.16
    FATtatchii shite kudasai . %mov:"10616"_214807_215797
    FATkono wanwan@o mo nenne shoo ka ? %mov:"10616"_215797_217453
    FAT*FAT: nennee shinasai . %mov:"10616"_217453_219476
    FATwanwan@o nennee shinasai . %mov:"10616"_219476_221407
    CHInennee . %mov:"10616"_221407_222685
  6. japanese_ishii/10616.cha, line 132 · Jun, 1;6.16
    FATkono wanwan@o mo nenne shoo ka ? %mov:"10616"_215797_217453
    FATnennee shinasai . %mov:"10616"_217453_219476
    FAT*FAT: wanwan@o nennee shinasai . %mov:"10616"_219476_221407
    CHInennee . %mov:"10616"_221407_222685
    FATsoosoo . %mov:"10616"_222685_223389
  7. japanese_ishii/10616.cha, line 138 · Jun, 1;6.16
    FATsoosoo . %mov:"10616"_222685_223389
    CHInennee . %mov:"10616"_223389_224301
    FAT*FAT: nennee . %mov:"10616"_224301_225152
    CHInaana [>] . %mov:"10616"_225152_226827
    FATyoshiyoshiyoshi [<] . %mov:"10616"_225152_226827
  8. japanese_ishii/10616.cha, line 148 · Jun, 1;6.16
    FATun, kore mo nenne ? %mov:"10616"_229783_230707
    CHInennee . %mov:"10616"_230707_231613
    FAT*FAT: nennee . %mov:"10616"_231613_232873
    FATaa yoshiyoshiyoshi . %mov:"10616"_232873_234277
    FATnenne nenne nenne . %mov:"10616"_234277_235904

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_ishii25.97
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/10616.chaJun 1;6.163088825.97

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. nennee8 · 100.0%