PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

3.23 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (274 utterances, 619 words searched).

  1. nani (ga) haitteru ? %mov:"10829"_19190_22993 FAT · japanese_ishii/10829.cha, line 31 · Jun 1;08
  2. okane haitteru ka ? %mov:"10829"_22993_27857 FAT · japanese_ishii/10829.cha, line 32 · Jun 1;08
  1. japanese_ishii/10829.cha, line 31 · Jun, 1;8.29
    FATtoto ya [: da] na . %mov:"10829"_16600_17555
    FATna [//] naka (ni) nani ga haitten [: haitteiru] no ? %mov:"10829"_17555_17555
    FAT*FAT: nani (ga) haitteru ? %mov:"10829"_19190_22993
    FATokane haitteru ka ? %mov:"10829"_22993_27857
    FATnai ? %mov:"10829"_27857_27857
  2. japanese_ishii/10829.cha, line 32 · Jun, 1;8.29
    FATna [//] naka (ni) nani ga haitten [: haitteiru] no ? %mov:"10829"_17555_17555
    FATnani (ga) haitteru ? %mov:"10829"_19190_22993
    FAT*FAT: okane haitteru ka ? %mov:"10829"_22993_27857
    FATnai ? %mov:"10829"_27857_27857
    CHInaiwa . %mov:"10829"_30805_35780

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_ishii3.23
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/10829.chaJun 1;8.29619223.23

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. haitteru2 · 100.0%