PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.44 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (697 utterances, 2,037 words searched).

  1. hikooki no omake no yatsu . %mov:"30622"_245205_246308 FAT · japanese_ishii/30622.cha, line 104 · Jun 3;06
  2. tsunagu no ka, hikooki [>] . %mov:"30622"_298696_299897 FAT · japanese_ishii/30622.cha, line 133 · Jun 3;06
  3. hikooki # kinoo ofuro e motteitta yaro ? %mov:"30622"_1478663_1481314 FAT · japanese_ishii/30622.cha, line 622 · Jun 3;06
  4. dono hikooki noro ka naa ? %mov:"30622"_1509555_1511965 FAT · japanese_ishii/30622.cha, line 635 · Jun 3;06
  5. hai, hikooki nottekudasai . %mov:"30622"_1588302_1600794 FAT · japanese_ishii/30622.cha, line 671 · Jun 3;06
  6. sonna hikooki wa kowareteru kara ya . %mov:"30622"_1633240_1641171 FAT · japanese_ishii/30622.cha, line 682 · Jun 3;06
  7. doko ikimasu ka,, kono hikooki wa ? %mov:"30622"_1668124_1671836 FAT · japanese_ishii/30622.cha, line 694 · Jun 3;06
  1. FATun . %mov:"30622"_242550_243075
    CHIhikooki no omake no yatsu ya . %mov:"30622"_243075_245205
    FAT*FAT: hikooki no omake no yatsu . %mov:"30622"_245205_246308
    CHIhikooki # hikooki # hikoojoo ittara kore ga mi # mieta yaro [>] ? %mov:"30622"_246308_253001
    FATxxx [<] . %mov:"30622"_246308_253001
  2. FATe ? %mov:"30622"_295398_296106
    CHIkoko ni # koko # tsunagu toko . %mov:"30622"_296106_298696
    FAT*FAT: tsunagu no ka, hikooki [>] . %mov:"30622"_298696_299897
    CHIun [<] . %mov:"30622"_298696_299897
    CHIgachatchi@o . %mov:"30622"_299897_302580
  3. CHIhikooki nai ka naa ? %mov:"30622"_1473044_1477062
    CHIhikooki nai ? %mov:"30622"_1477062_1478663
    FAT*FAT: hikooki # kinoo ofuro e motteitta yaro ? %mov:"30622"_1478663_1481314
    FATatchi no heya ya . %mov:"30622"_1481314_1482885
    FATatta [/] atta . %mov:"30622"_1482885_1484320
  4. CHIhai . %mov:"30622"_1504825_1504825
    FAThai . %mov:"30622"_1508810_1509555
    FAT*FAT: dono hikooki noro ka naa ? %mov:"30622"_1509555_1511965
    CHIorita ? %mov:"30622"_1511965_1514378
    FATun, orita . %mov:"30622"_1514378_1515101
  5. FAThai . %mov:"30622"_1580978_1581544
    CHIatarahen yoo ni +... %mov:"30622"_1581544_1588302
    FAT*FAT: hai, hikooki nottekudasai . %mov:"30622"_1588302_1600794
    CHIhassha ! %mov:"30622"_1600794_1603804
    CHIwii@o # wii@o # wii@o . %mov:"30622"_1603804_1618555
  6. CHIun . %mov:"30622"_1630714_1631912
    FATdoo shoo . %mov:"30622"_1631912_1633240
    FAT*FAT: sonna hikooki wa kowareteru kara ya . %mov:"30622"_1633240_1641171
    FATdame desu . %mov:"30622"_1641171_1641725
    CHIxxx . %mov:"30622"_1641725_1650404
  7. CHIkoko ya . %mov:"30622"_1664231_1665620
    FATxxx . %mov:"30622"_1665620_1668124
    FAT*FAT: doko ikimasu ka,, kono hikooki wa ? %mov:"30622"_1668124_1671836
    CHInto naa, Nippon [//] Amerika iku no ya . %mov:"30622"_1671836_1674451
    FATAmerika iku no . %mov:"30622"_1674451_1675096

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_ishii3.44
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/30622.chaJun 3;6.222,037773.44

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. hikooki7 · 100.0%