PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

1.72 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (386 utterances, 1,163 words searched).

  1. konna toko kisha hashiranai yan ka . %mov:"30524"_315922_317951 FAT · japanese_ishii/30524.cha, line 175 · Jun 3;05
  2. hashiranai yan . %mov:"30524"_958467_959417 FAT · japanese_ishii/30524.cha, line 530 · Jun 3;05
  1. FATchigau nya de . %mov:"30524"_313033_314599
    FATsenro to chigau nya de . %mov:"30524"_314599_315922
    FAT*FAT: konna toko kisha hashiranai yan ka . %mov:"30524"_315922_317951
    FATkisha ki no ue hashiru ka ? %mov:"30524"_317951_319996
    CHIhashin de . %mov:"30524"_319996_323422
  2. FATkore mo yuki no naka hashiru wa . %mov:"30524"_949396_950967
    CHItorakku, hora, yuki no naka de # torakku hashiru yan ka . %mov:"30524"_950967_958467
    FAT*FAT: hashiranai yan . %mov:"30524"_958467_959417
    FATtorakku chau yan . %mov:"30524"_959417_960448
    FATkore yan ka . %mov:"30524"_960448_960909

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_ishii1.72
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/30524.chaJun 3;05.241,163221.72

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. hashiranai2 · 100.0%