PHPCLANCHILDES with regular expressions

10 matches in 10 utterances

7.66 per 1,000 words of the child (CHI), in 1 of 1 transcripts (455 utterances, 1,305 words searched).

  1. soo . %mov:"30524"_114453_115153 CHI · japanese_ishii/30524.cha, line 71 · Jun 3;05
  2. soo . %mov:"30524"_183226_184152 CHI · japanese_ishii/30524.cha, line 112 · Jun 3;05
  3. soo ka . %mov:"30524"_227579_229223 CHI · japanese_ishii/30524.cha, line 133 · Jun 3;05
  4. soo . %mov:"30524"_619092_620158 CHI · japanese_ishii/30524.cha, line 350 · Jun 3;05
  5. soo da . %mov:"30524"_627588_628640 CHI · japanese_ishii/30524.cha, line 358 · Jun 3;05
  6. soo da yo . %mov:"30524"_902907_904698 CHI · japanese_ishii/30524.cha, line 501 · Jun 3;05
  7. soo . %mov:"30524"_920294_922743 CHI · japanese_ishii/30524.cha, line 511 · Jun 3;05
  8. soo . %mov:"30524"_932168_933156 CHI · japanese_ishii/30524.cha, line 521 · Jun 3;05
  9. soo . %mov:"30524"_1021321_1022282 CHI · japanese_ishii/30524.cha, line 565 · Jun 3;05
  10. soo . %mov:"30524"_1023923_1024524 CHI · japanese_ishii/30524.cha, line 568 · Jun 3;05
  1. CHIna ? %mov:"30524"_112621_113191
    FATmizu no ue hashin nya n ka . %mov:"30524"_113191_114453
    CHI*CHI: soo . %mov:"30524"_114453_115153
    CHIosoto demo ya na ? %mov:"30524"_115153_116713
    FATun . %mov:"30524"_116713_117939
  2. FATun . %mov:"30524"_181086_181557
    FATneko gyuunyuu nonden nya . %mov:"30524"_181557_183226
    CHI*CHI: soo . %mov:"30524"_183226_184152
    CHIperopero@o tte . %mov:"30524"_184152_186261
    FATsoo ya . %mov:"30524"_186261_187841
  3. CHIkore o kobo +... %mov:"30524"_223998_225339
    FATgyuunyuu ga hoshii yuuten nya . %mov:"30524"_225339_227579
    CHI*CHI: soo ka . %mov:"30524"_227579_229223
    FATun . %mov:"30524"_229223_229731
    CHIchau [?], oneechan ya . %mov:"30524"_229731_230986
  4. CHIn ? %mov:"30524"_617144_618065
    FATari no ouchi ya . %mov:"30524"_618065_619092
    CHI*CHI: soo . %mov:"30524"_619092_620158
    CHIkore wa # kore nani tsuiten no [>] ? %mov:"30524"_620158_622608
    FATnani yaro [<] ? %mov:"30524"_620158_622608
  5. FATa, homma ya . %mov:"30524"_625950_626612
    FATtombo no medama ya . %mov:"30524"_626612_627588
    CHI*CHI: soo da . %mov:"30524"_627588_628640
    CHIna ? %mov:"30524"_628640_631370
    FATun . %mov:"30524"_631370_631802
  6. FATkore ya de . %mov:"30524"_900319_901322
    FATkore yuki no naka hashiru nya de . %mov:"30524"_901322_902907
    CHI*CHI: soo da yo . %mov:"30524"_902907_904698
    CHIhonde ko # minna naa nimotsu hakondeitta n ya . %mov:"30524"_904698_910221
    FATkore wa nan ya . %mov:"30524"_910221_912359
  7. FATkoori de [<] ippai . %mov:"30524"_917327_919574
    FATmoo hashirehen . %mov:"30524"_919574_920294
    CHI*CHI: soo . %mov:"30524"_920294_922743
    CHIkore ? %mov:"30524"_922743_923486
    FATun . %mov:"30524"_922743_924043
  8. FATkore zembu koori ya . %mov:"30524"_929541_930354
    FATkoori watte susumu ne,, kono fune wa . %mov:"30524"_930354_932168
    CHI*CHI: soo . %mov:"30524"_932168_933156
    FATkoori o na, bari@o bari@o bari@o tte watteiku ne . %mov:"30524"_933156_937767
    CHIban@o tte ? %mov:"30524"_937767_939363
  9. FATkoori no ue ya . %mov:"30524"_1019724_1020542
    FATkore koori ya de . %mov:"30524"_1020542_1021321
    CHI*CHI: soo . %mov:"30524"_1021321_1022282
    FATun . %mov:"30524"_1022282_1022792
    FATkoori no ue hashitten nya . %mov:"30524"_1022792_1023923
  10. FATun . %mov:"30524"_1022282_1022792
    FATkoori no ue hashitten nya . %mov:"30524"_1022792_1023923
    CHI*CHI: soo . %mov:"30524"_1023923_1024524
    FATnimotsu nosete, na ? %mov:"30524"_1024524_1027206
    CHIwaa, hikooki . %mov:"30524"_1027206_1029641

Matches by age

One dot per transcript: matches per 1,000 words of the child (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_ishii7.66
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/30524.chaJun 3;05.241,30510107.66

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. soo10 · 100.0%