PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

3.74 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (259 utterances, 535 words searched).

  1. nenne shiten no kaa ? %mov:"10816"_276050_277209 FAT · japanese_ishii/10816.cha, line 274 · Jun 1;08
  2. nenne sena [: shinaito] ikan [: dame] no . %mov:"10816"_506029_507543 FAT · japanese_ishii/10816.cha, line 496 · Jun 1;08
  1. FATkore [>] . %mov:"10816"_274247_276050
    CHInenneewa [<] . %mov:"10816"_274247_276050
    FAT*FAT: nenne shiten no kaa ? %mov:"10816"_276050_277209
    CHInennee . %mov:"10816"_277209_277962
    FAThonto . %mov:"10816"_277962_278471
  2. CHIxxx . %mov:"10816"_502384_504621
    FATte (ga) attakai ka mitagen [: miteageruno] nya . %mov:"10816"_504621_506029
    FAT*FAT: nenne sena [: shinaito] ikan [: dame] no . %mov:"10816"_506029_507543
    CHIaaewaa . %mov:"10816"_507543_509262
    FATnani ga aa . %mov:"10816"_509262_510050

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_ishii3.74
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/10816.chaJun 1;8.16535223.74

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. nenne2 · 100.0%