PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

2.14 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (383 utterances, 935 words searched).

  1. dekimashita ka ? %mov:"20017"_927177_930302 FAT · japanese_ishii/20017.cha, line 572 · Jun 2;00
  2. hai, dekimashita yo . %mov:"20017"_1038443_1042270 FAT · japanese_ishii/20017.cha, line 626 · Jun 2;00
  1. japanese_ishii/20017.cha, line 572 · Jun, 2;0.17
    FATa, achiachi . %mov:"20017"_923306_925428
    FATtakitaki shite yo . %mov:"20017"_925428_927177
    FAT*FAT: dekimashita ka ? %mov:"20017"_927177_930302
    CHIaye . %mov:"20017"_930302_931180
    FATmoo inai . %mov:"20017"_931180_932022
  2. japanese_ishii/20017.cha, line 626 · Jun, 2;0.17
    FATJun no ochawan dore ? %mov:"20017"_1034683_1034683
    FATare ya . %mov:"20017"_1036125_1038443
    FAT*FAT: hai, dekimashita yo . %mov:"20017"_1038443_1042270
    CHIhai . %mov:"20017"_1042270_1043517
    CHIjaa ? %mov:"20017"_1043517_1044190

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_ishii2.14
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20017.chaJun 2;0.17935222.14

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. dekimashita2 · 100.0%