PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

6.39 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (166 utterances, 313 words searched).

  1. wanwan@o (o) nainai shite . %mov:"10111"_510793_512619 FAT · japanese_ishii/10111.cha, line 297 · Jun 1;01
  2. wanwan@o (o) nainai shite . %mov:"10111"_512619_515142 FAT · japanese_ishii/10111.cha, line 299 · Jun 1;01
  1. FATun, nainaai . %mov:"10111"_506550_509072
    FATxxx atchi (e) wanwan (o) irete . %mov:"10111"_509072_509072
    FAT*FAT: wanwan@o (o) nainai shite . %mov:"10111"_510793_512619
    FATwanwan@o (o) nainai shite . %mov:"10111"_512619_515142
    FATa ! %mov:"10111"_515142_520229
  2. FATxxx atchi (e) wanwan (o) irete . %mov:"10111"_509072_509072
    FATwanwan@o (o) nainai shite . %mov:"10111"_510793_512619
    FAT*FAT: wanwan@o (o) nainai shite . %mov:"10111"_512619_515142
    FATa ! %mov:"10111"_515142_520229
    FATa ! %mov:"10111"_520229_523260

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_ishii6.39
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/10111.chaJun 1;01.11313226.39

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. nainai2 · 100.0%