PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

6.63 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (285 utterances, 754 words searched).

  1. kinoo doko itta no . %mov:"30507"_248007_253543 FAT · japanese_ishii/30507.cha, line 148 · Jun 3;05
  2. Okaasan to doko itta n . %mov:"30507"_257479_258436 FAT · japanese_ishii/30507.cha, line 150 · Jun 3;05
  3. Okaasan to # sorekara dare to issho ni itta n ? %mov:"30507"_262083_264725 FAT · japanese_ishii/30507.cha, line 154 · Jun 3;05
  4. Obachan to issho ni itta n yaro ? %mov:"30507"_268877_269995 FAT · japanese_ishii/30507.cha, line 157 · Jun 3;05
  5. Seeyuu itta n . %mov:"30507"_274651_275882 FAT · japanese_ishii/30507.cha, line 161 · Jun 3;05
  1. FATomiyage ka,, kore ? %mov:"30507"_245828_247534
    CHIun . %mov:"30507"_247534_248007
    FAT*FAT: kinoo doko itta no . %mov:"30507"_248007_253543
    CHIdoko e # itta ? %mov:"30507"_253543_257479
    FATOkaasan to doko itta n . %mov:"30507"_257479_258436
  2. FATkinoo doko itta no . %mov:"30507"_248007_253543
    CHIdoko e # itta ? %mov:"30507"_253543_257479
    FAT*FAT: Okaasan to doko itta n . %mov:"30507"_257479_258436
    CHIshiran [: shiranai] . %mov:"30507"_258436_259237
    FATe ? %mov:"30507"_259237_261139
  3. FATe ? %mov:"30507"_259237_261139
    CHIdoko itta ? %mov:"30507"_261139_262083
    FAT*FAT: Okaasan to # sorekara dare to issho ni itta n ? %mov:"30507"_262083_264725
    CHIshiran . %mov:"30507"_264725_265941
    CHIdoko e itta ? %mov:"30507"_265941_268877
  4. CHIshiran . %mov:"30507"_264725_265941
    CHIdoko e itta ? %mov:"30507"_265941_268877
    FAT*FAT: Obachan to issho ni itta n yaro ? %mov:"30507"_268877_269995
    FATchigau no . %mov:"30507"_269995_270513
    CHIn ? %mov:"30507"_270513_271573
  5. CHIn ? %mov:"30507"_270513_271573
    CHISeeyuu [= department store] . %mov:"30507"_271573_274651
    FAT*FAT: Seeyuu itta n . %mov:"30507"_274651_275882
    CHIun . %mov:"30507"_275882_276906
    FATnani tabeta . %mov:"30507"_276906_277915

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_ishii6.63
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/30507.chaJun 3;5.07754556.63

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. itta5 · 100.0%