PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

6.68 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (295 utterances, 749 words searched).

  1. doko ni . %mov:"20108"_50320_51081 FAT · japanese_ishii/20108.cha, line 50 · Jun 2;01
  2. popposhusshu@o doko ni aru ? %mov:"20108"_78971_80505 FAT · japanese_ishii/20108.cha, line 72 · Jun 2;01
  3. popposhusshu@o doko ni aru ? %mov:"20108"_85666_87010 FAT · japanese_ishii/20108.cha, line 77 · Jun 2;01
  4. un, meme wa doko in [: iru] no,, memechi wa ? %mov:"20108"_212901_215020 FAT · japanese_ishii/20108.cha, line 157 · Jun 2;01
  5. doko ni chutchu@o ga iru . %mov:"20108"_701470_702808 FAT · japanese_ishii/20108.cha, line 460 · Jun 2;01
  1. FATpopposhusshu@o aru ka ? %mov:"20108"_47353_48715
    CHIaru . %mov:"20108"_48715_50320
    FAT*FAT: doko ni . %mov:"20108"_50320_51081
    CHIashi [: okashii] naa . %mov:"20108"_51081_53099
    FATe ? %mov:"20108"_53099_53735
  2. FAThai . %mov:"20108"_76671_77084
    CHIpopposhusshu . %mov:"20108"_77084_78971
    FAT*FAT: popposhusshu@o doko ni aru ? %mov:"20108"_78971_80505
    CHIajidetteshi # ashi [: okashii] naa . %mov:"20108"_80505_83230
    FATokashii naa . %mov:"20108"_83230_83230
  3. CHIaan, miyo . %mov:"20108"_84094_85267
    FATmiyo . %mov:"20108"_85267_85666
    FAT*FAT: popposhusshu@o doko ni aru ? %mov:"20108"_85666_87010
    FATa, atta'atta, hora . %mov:"20108"_87010_89044
    CHItaa . %mov:"20108"_89044_90370
  4. FATohana yan ka . %mov:"20108"_210724_211790
    CHIohana . %mov:"20108"_211790_211790
    FAT*FAT: un, meme wa doko in [: iru] no,, memechi wa ? %mov:"20108"_212901_215020
    FATkore memechi iru wa . %mov:"20108"_215020_215020
    FATtentoomushi . %mov:"20108"_217030_217919
  5. CHIdaiju nai wa . %mov:"20108"_698511_700168
    CHIchutchu koko . %mov:"20108"_700168_701470
    FAT*FAT: doko ni chutchu@o ga iru . %mov:"20108"_701470_702808
    FATa, honto . %mov:"20108"_702808_703544
    FATchutchu ga iru nee . %mov:"20108"_703544_704504

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_ishii6.68
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20108.chaJun 2;1.08749556.68

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. doko5 · 100.0%