PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

3.93 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (536 utterances, 1,273 words searched).

  1. tooru zoo . %mov:"20602"_56243_57063 FAT · japanese_ishii/20602.cha, line 47 · Jun 2;06
  2. shooboojidoosha tooru zoo . %mov:"20602"_57063_58713 FAT · japanese_ishii/20602.cha, line 48 · Jun 2;06
  3. basu tooru ka ? %mov:"20602"_269508_270907 FAT · japanese_ishii/20602.cha, line 185 · Jun 2;06
  4. tooru nee . %mov:"20602"_273582_274172 FAT · japanese_ishii/20602.cha, line 187 · Jun 2;06
  5. torakku mo tooru . %mov:"20602"_282163_283187 FAT · japanese_ishii/20602.cha, line 191 · Jun 2;06
  1. CHImitemi . %mov:"20602"_54702_55354
    CHItooru zoo . %mov:"20602"_55354_56243
    FAT*FAT: tooru zoo . %mov:"20602"_56243_57063
    FATshooboojidoosha tooru zoo . %mov:"20602"_57063_58713
    CHIbuu@o . %mov:"20602"_58713_60033
  2. CHItooru zoo . %mov:"20602"_55354_56243
    FATtooru zoo . %mov:"20602"_56243_57063
    FAT*FAT: shooboojidoosha tooru zoo . %mov:"20602"_57063_58713
    CHIbuu@o . %mov:"20602"_58713_60033
    CHIkitetekita [: detekita] . %mov:"20602"_60033_61622
  3. CHIbeen@o ! %mov:"20602"_263896_265254
    CHIbasu detekita zoo . %mov:"20602"_265254_269508
    FAT*FAT: basu tooru ka ? %mov:"20602"_269508_270907
    CHIhore, basu tooru zoo . %mov:"20602"_270907_273582
    FATtooru nee . %mov:"20602"_273582_274172
  4. FATbasu tooru ka ? %mov:"20602"_269508_270907
    CHIhore, basu tooru zoo . %mov:"20602"_270907_273582
    FAT*FAT: tooru nee . %mov:"20602"_273582_274172
    CHItorakku no wa [>] ? %mov:"20602"_274172_278095
    FAThaai, kotchi kimashita yoo [<] . %mov:"20602"_274172_278095
  5. FAThaai, kotchi kimashita yoo [<] . %mov:"20602"_274172_278095
    CHIa, torakku mo tooru wa . %mov:"20602"_278095_282163
    FAT*FAT: torakku mo tooru . %mov:"20602"_282163_283187
    FATsugoi nee . %mov:"20602"_283187_283935
    FATkore shingo +... %mov:"20602"_283935_284985

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_ishii3.93
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20602.chaJun 2;6.021,273553.93

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. tooru5 · 100.0%