PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

5.59 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (162 utterances, 358 words searched).

  1. a, kirinshan [: kirinsan] (o) nosen [: noseru] no . %mov:"10313"_230808_233472 FAT · japanese_ishii/10313.cha, line 143 · Jun 1;03
  2. nani (o) nosen [: noseru] no ? %mov:"10313"_284892_287659 FAT · japanese_ishii/10313.cha, line 174 · Jun 1;03
  1. CHIe . %mov:"10313"_226609_226609
    CHIe . %mov:"10313"_230026_230808
    FAT*FAT: a, kirinshan [: kirinsan] (o) nosen [: noseru] no . %mov:"10313"_230808_233472
    FATyoshi . %mov:"10313"_233472_234285
    CHIn . %mov:"10313"_234285_236334
  2. FATa, joozu ni notta nee . %mov:"10313"_282391_282943
    CHIe . %mov:"10313"_283833_284892
    FAT*FAT: nani (o) nosen [: noseru] no ? %mov:"10313"_284892_287659
    FATyoshi ! %mov:"10313"_287659_289088
    CHIaa ? %mov:"10313"_289088_290521

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_ishii5.59
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/10313.chaJun 1;03.13358225.59

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. nosen2 · 100.0%