PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

2.00 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (790 utterances, 1,999 words searched).

  1. jidoosha mo aru naa . %mov:"20929"_239523_240582 FAT · japanese_ishii/20929.cha, line 102 · Jun 2;09
  2. kore jidoosha ya, hora . %mov:"20929"_247971_248852 FAT · japanese_ishii/20929.cha, line 105 · Jun 2;09
  3. funde kowareru zo [<] ,, jidoosha ga . %mov:"20929"_988624_992017 FAT · japanese_ishii/20929.cha, line 531 · Jun 2;09
  4. kore mitehen yan,, jidoosha mitehen . %mov:"20929"_1809106_1810847 FAT · japanese_ishii/20929.cha, line 945 · Jun 2;09
  1. japanese_ishii/20929.cha, line 102 · Jun, 2;9.29
    FAThonto . %mov:"20929"_237786_238407
    CHIun . %mov:"20929"_238407_239523
    FAT*FAT: jidoosha mo aru naa . %mov:"20929"_239523_240582
    CHIxxx . %mov:"20929"_240582_245452
    CHIdoko ni jidoosha an nya . %mov:"20929"_245452_247971
  2. japanese_ishii/20929.cha, line 105 · Jun, 2;9.29
    CHIxxx . %mov:"20929"_240582_245452
    CHIdoko ni jidoosha an nya . %mov:"20929"_245452_247971
    FAT*FAT: kore jidoosha ya, hora . %mov:"20929"_247971_248852
    CHInotten na,, untenshusan ga [>] . %mov:"20929"_248852_252641
    FATnotten na [<],, untenshusan ga . %mov:"20929"_248852_252641
  3. japanese_ishii/20929.cha, line 531 · Jun, 2;9.29
    FATabunai yan,, koko iretokant o [: ireteokanaito] . %mov:"20929"_986757_988624
    CHIabunanai tte [>] . %mov:"20929"_988624_992017
    FAT*FAT: funde kowareru zo [<] ,, jidoosha ga . %mov:"20929"_988624_992017
    CHIxxx . %mov:"20929"_992017_993457
    FATkowareru zo . %mov:"20929"_993457_994006
  4. japanese_ishii/20929.cha, line 945 · Jun, 2;9.29
    FATmonoreeru de hikooki de # <shinkansen> [>] de +... %mov:"20929"_1804211_1809106
    CHIxxx [<] . %mov:"20929"_1804211_1809106
    FAT*FAT: kore mitehen yan,, jidoosha mitehen . %mov:"20929"_1809106_1810847
    FATwaa, mootaabooto mitehen yan . %mov:"20929"_1810847_1812843
    CHIdoko aru ? %mov:"20929"_1812843_1813470

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_ishii2.00
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20929.chaJun 2;9.291,999442.00

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. jidoosha4 · 100.0%