PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

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

  1. Okaasan to doko itta n . %mov:"30507"_257479_258436 FAT · japanese_ishii/30507.cha, line 150 · Jun 3;05
  2. Okaasan to # sorekara dare to issho ni itta n ? %mov:"30507"_262083_264725 FAT · japanese_ishii/30507.cha, line 154 · Jun 3;05
  1. 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
  2. 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

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_ishii2.65
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/30507.chaJun 3;5.07754222.65

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. okaasan2 · 100.0%