PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

2.67 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (295 utterances, 749 words searched).

  1. ii, ii@o naiten nya . %mov:"20108"_438568_439985 FAT · japanese_ishii/20108.cha, line 290 · Jun 2;01
  2. dare ga aho yuuten nya . %mov:"20108"_746992_749194 FAT · japanese_ishii/20108.cha, line 484 · Jun 2;01
  1. FATkore nani shiten no,, kono hito ? %mov:"20108"_434344_435753
    FATsoo shiten no . %mov:"20108"_435753_438568
    FAT*FAT: ii, ii@o naiten nya . %mov:"20108"_438568_439985
    CHIeen'een . %mov:"20108"_439985_443175
    FATii ii tte [<] . %mov:"20108"_439985_443175
  2. CHIdaa aoo . %mov:"20108"_744277_745553
    CHIahhoo . %mov:"20108"_745553_745553
    FAT*FAT: dare ga aho yuuten nya . %mov:"20108"_746992_749194
    FATyooshi . %mov:"20108"_749194_755082
    FAThai, mamma mottekitekudasaai . %mov:"20108"_755082_767224

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_ishii2.67
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20108.chaJun 2;1.08749222.67

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. nya2 · 100.0%