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. kore miehen yan,, anta no kore . %mov:"30524"_737551_739676 FAT · japanese_ishii/30524.cha, line 419 · Jun 3;05
  2. anta iretokahen kara . %mov:"30524"_1211275_1212215 FAT · japanese_ishii/30524.cha, line 665 · Jun 3;05
  1. FATmotto # motto kotchi ya . %mov:"30524"_734753_735832
    CHInande yo . %mov:"30524"_735832_737551
    FAT*FAT: kore miehen yan,, anta no kore . %mov:"30524"_737551_739676
    FATwaa, yuki takusan futten naa . %mov:"30524"_739676_741885
    CHIhora, mite . %mov:"30524"_741885_746439
  2. CHIanna toko ni tobiyotta [: tonda] . %mov:"30524"_1205874_1209704
    FATbatta nige # nigeta n yan ka . %mov:"30524"_1209704_1211275
    FAT*FAT: anta iretokahen kara . %mov:"30524"_1211275_1212215
    FATdoko itta ? %mov:"30524"_1212215_1212752
    CHIkoko # kono naka yan . %mov:"30524"_1212752_1214993

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. anta2 · 100.0%