PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

2.09 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (388 utterances, 956 words searched).

  1. mata attaa . %mov:"20205"_1227996_1228636 FAT · japanese_ishii/20205.cha, line 651 · Jun 2;02
  2. mata attaa . %mov:"20205"_1228636_1230047 FAT · japanese_ishii/20205.cha, line 652 · Jun 2;02
  1. japanese_ishii/20205.cha, line 651 · Jun, 2;2.05
    CHImataa . %mov:"20205"_1223925_1225599
    CHIi ooto mata attaa . %mov:"20205"_1225599_1227996
    FAT*FAT: mata attaa . %mov:"20205"_1227996_1228636
    FATmata attaa . %mov:"20205"_1228636_1230047
    FATtotte [>] . %mov:"20205"_1230047_1231995
  2. japanese_ishii/20205.cha, line 652 · Jun, 2;2.05
    CHIi ooto mata attaa . %mov:"20205"_1225599_1227996
    FATmata attaa . %mov:"20205"_1227996_1228636
    FAT*FAT: mata attaa . %mov:"20205"_1228636_1230047
    FATtotte [>] . %mov:"20205"_1230047_1231995
    CHImata atta [<] . %mov:"20205"_1230047_1231995

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_ishii2.09
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20205.chaJun 2;2.05956222.09

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. attaa2 · 100.0%