PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

5.12 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (202 utterances, 391 words searched).

  1. yii yoisho xxx koko suwan ne .%mov:"00920"_744593_748575 FAT · japanese_ishii/00920.cha, line 312 · Jun 0;09
  2. koko suwan ne . %mov:"00920"_749123_749946 FAT · japanese_ishii/00920.cha, line 314 · Jun 0;09
  1. japanese_ishii/00920.cha, line 312 · Jun, 0;9.20
    FATxxx ! %mov:"00920"_741462_742901
    FAThai . %mov:"00920"_742901_744593
    FAT*FAT: yii yoisho xxx koko suwan ne .%mov:"00920"_744593_748575
    FATna ? %mov:"00920"_748575_749123
    FATkoko suwan ne . %mov:"00920"_749123_749946
  2. japanese_ishii/00920.cha, line 314 · Jun, 0;9.20
    FATyii yoisho xxx koko suwan ne .%mov:"00920"_744593_748575
    FATna ? %mov:"00920"_748575_749123
    FAT*FAT: koko suwan ne . %mov:"00920"_749123_749946
    FAThai . %mov:"00920"_749946_750780
    FAThai, kukukukukuu@o . %mov:"00920"_750780_754917

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_ishii5.12
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/00920.chaJun 0;9.20391225.12

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. ne2 · 100.0%