PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

2.77 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (292 utterances, 723 words searched).

  1. basu ya nee . %mov:"11116"_7010_7766 FAT · japanese_ishii/11116.cha, line 16 · Jun 1;11
  2. basu atta . %mov:"11116"_762706_762706 FAT · japanese_ishii/11116.cha, line 523 · Jun 1;11
  1. japanese_ishii/11116.cha, line 16 · Jun, 1;11.16
    FATkore nan ya ? %mov:"11116"_5475_6171
    CHIbasu . %mov:"11116"_6171_7010
    FAT*FAT: basu ya nee . %mov:"11116"_7010_7766
    FATdare ga notten [: notteru] no ? %mov:"11116"_7766_8677
    CHIbabai . %mov:"11116"_8677_10068
  2. japanese_ishii/11116.cha, line 523 · Jun, 1;11.16
    CHIikooki ya ee . %mov:"11116"_760226_761694
    CHIbashu . %mov:"11116"_761694_762706
    FAT*FAT: basu atta . %mov:"11116"_762706_762706
    CHIka bubuu e . %mov:"11116"_763351_764900
    FATe ? %mov:"11116"_764900_765645

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_ishii2.77
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/11116.chaJun 1;11.16723222.77

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. basu2 · 100.0%