PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

6.29 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (528 utterances, 1,271 words searched).

  1. n ? %mov:"20304"_6186_6654 FAT · japanese_ishii/20304.cha, line 17 · Jun 2;03
  2. n [>] ? %mov:"20304"_20853_24335 FAT · japanese_ishii/20304.cha, line 27 · Jun 2;03
  3. n ? %mov:"20304"_24335_24820 FAT · japanese_ishii/20304.cha, line 30 · Jun 2;03
  4. sonnan dekita n. %mov:"20304"_74944_76229 FAT · japanese_ishii/20304.cha, line 47 · Jun 2;03
  5. dare ga jiji kaita n ,, konna toko . %mov:"20304"_399007_400685 FAT · japanese_ishii/20304.cha, line 202 · Jun 2;03
  6. n ? %mov:"20304"_485559_486220 FAT · japanese_ishii/20304.cha, line 251 · Jun 2;03
  7. n ? %mov:"20304"_674252_674686 FAT · japanese_ishii/20304.cha, line 390 · Jun 2;03
  8. gakko [<] itta n ka na ? %mov:"20304"_1604922_1606954 FAT · japanese_ishii/20304.cha, line 987 · Jun 2;03
  1. CHIxxx nani kore ? %mov:"20304"_0_6186
    FAT*FAT: n ? %mov:"20304"_6186_6654
    CHIna . %mov:"20304"_6654_8201
    CHIkoo . %mov:"20304"_8201_10523
  2. FATdore ga omoshiroi no . %mov:"20304"_17367_19330
    CHIkoko to +... %mov:"20304"_19330_20853
    FAT*FAT: n [>] ? %mov:"20304"_20853_24335
    CHIhaitta zoo # kore [<] . %mov:"20304"_20853_24335
    FATn ? %mov:"20304"_24335_24820
  3. FATn [>] ? %mov:"20304"_20853_24335
    CHIhaitta zoo # kore [<] . %mov:"20304"_20853_24335
    FAT*FAT: n ? %mov:"20304"_24335_24820
    CHIkoko tte . %mov:"20304"_24820_27229
    CHIxxx . %mov:"20304"_27229_35655
  4. FATosuwari shite misete . %mov:"20304"_65502_72587
    FAThai. %mov:"20304"_72587_74944
    FAT*FAT: sonnan dekita n. %mov:"20304"_74944_76229
    FATnan desu ka ,, sore ? %mov:"20304"_76229_77704
    FATaa, soo sun no . %mov:"20304"_77704_77704
  5. CHIxxx . %mov:"20304"_393685_396753
    CHIuu, jiji [= letters] gugita . %mov:"20304"_396753_399007
    FAT*FAT: dare ga jiji kaita n ,, konna toko . %mov:"20304"_399007_400685
    FATkonna kaitara me [: dame] ya . %mov:"20304"_400685_404849
    CHIn ? %mov:"20304"_404849_405711
  6. FATwaa , sugoi naa . %mov:"20304"_482303_484458
    CHInani ,, kore ? %mov:"20304"_484458_485559
    FAT*FAT: n ? %mov:"20304"_485559_486220
    CHInani ,, kore ? %mov:"20304"_486220_487603
    FATsore monoreeru . %mov:"20304"_487603_487603
  7. FATun, basu kirekire shiten no . %mov:"20304"_668534_670212
    CHIyumi ,, kore ? %mov:"20304"_670212_674252
    FAT*FAT: n ? %mov:"20304"_674252_674686
    CHIna . %mov:"20304"_674686_675513
    FATwaa, jidoosha takusan hashitteru nee . %mov:"20304"_675513_675513
  8. CHIitchatta no . %mov:"20304"_1603750_1604922
    CHIna [>] ? %mov:"20304"_1604922_1606954
    FAT*FAT: gakko [<] itta n ka na ? %mov:"20304"_1604922_1606954
    CHIgakko chita na ? %mov:"20304"_1606954_1608893
    FATgakko itchatta ka ? %mov:"20304"_1608893_1613558

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_ishii6.29
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20304.chaJun 2;3.041,271886.29

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. n8 · 100.0%