PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

2.04 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (428 utterances, 981 words searched).

  1. ee ? %mov:"20225"_714916_715557 FAT · japanese_ishii/20225.cha, line 380 · Jun 2;02
  2. un, sore yattara ee wa . %mov:"20225"_1648685_1649476 FAT · japanese_ishii/20225.cha, line 786 · Jun 2;02
  1. japanese_ishii/20225.cha, line 380 · Jun, 2;2.25
    FAThaai . %mov:"20225"_696428_706788
    CHIokii chiichai aeko yoo . %mov:"20225"_706788_714916
    FAT*FAT: ee ? %mov:"20225"_714916_715557
    FATkondo nan desu kaa ? %mov:"20225"_715557_716802
    CHIiyaa . %mov:"20225"_716802_718623
  2. japanese_ishii/20225.cha, line 786 · Jun, 2;2.25
    FATsonna toko ni shitara urusai urusai wa . %mov:"20225"_1644235_1647079
    CHIkoko sho . %mov:"20225"_1647079_1648685
    FAT*FAT: un, sore yattara ee wa . %mov:"20225"_1648685_1649476
    FATnani tsukun no ? %mov:"20225"_1649476_1651388
    CHIhai, xxx . %mov:"20225"_1651388_1655138

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_ishii2.04
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20225.chaJun 2;2.25981222.04

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. ee2 · 100.0%