PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

3.33 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (356 utterances, 900 words searched).

  1. un, Jun basu motten [: motteru] nee ? %mov:"20023"_361606_362931 FAT · japanese_ishii/20023.cha, line 261 · Jun 2;00
  2. issho no motten nee ? %mov:"20023"_363643_364781 FAT · japanese_ishii/20023.cha, line 263 · Jun 2;00
  3. nanka omocha motten ne nee . %mov:"20023"_490800_493979 FAT · japanese_ishii/20023.cha, line 348 · Jun 2;00
  1. FATJun no buubuu@o ka ? %mov:"20023"_357259_358336
    CHIJun bashu . %mov:"20023"_358336_361606
    FAT*FAT: un, Jun basu motten [: motteru] nee ? %mov:"20023"_361606_362931
    CHIJun ya . %mov:"20023"_362931_363643
    FATissho no motten nee ? %mov:"20023"_363643_364781
  2. FATun, Jun basu motten [: motteru] nee ? %mov:"20023"_361606_362931
    CHIJun ya . %mov:"20023"_362931_363643
    FAT*FAT: issho no motten nee ? %mov:"20023"_363643_364781
    CHIissho buubuu . %mov:"20023"_364781_366276
    FATun, issho no basu ya nee . %mov:"20023"_366276_368343
  3. CHIoe a ? %mov:"20023"_489395_489880
    FATsore nan daro naa . %mov:"20023"_489880_490800
    FAT*FAT: nanka omocha motten ne nee . %mov:"20023"_490800_493979
    CHIn ? %mov:"20023"_493979_494458
    FATomocha . %mov:"20023"_494458_495251

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_ishii3.33
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20023.chaJun 2;0.23900333.33

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. motten3 · 100.0%