PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

2.81 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (291 utterances, 712 words searched).

  1. honto . %mov:"20029"_281568_283111 FAT · japanese_ishii/20029.cha, line 158 · Jun 2;00
  2. honto ? %mov:"20029"_678551_681211 FAT · japanese_ishii/20029.cha, line 373 · Jun 2;00
  1. japanese_ishii/20029.cha, line 158 · Jun, 2;0.29
    FATnenne [<] +... %mov:"20029"_280142_280711
    FATnenne shiten no ? %mov:"20029"_280711_281568
    FAT*FAT: honto . %mov:"20029"_281568_283111
    FATkoko osuwari shite gohon yomo ka ? %mov:"20029"_283111_286509
    CHIxxx ? %mov:"20029"_286509_287760
  2. japanese_ishii/20029.cha, line 373 · Jun, 2;0.29
    FATpiano . %mov:"20029"_674983_675677
    FATpiano no gohon ka,, sore ? %mov:"20029"_675677_678551
    FAT*FAT: honto ? %mov:"20029"_678551_681211
    FATnai yan ka . %mov:"20029"_681211_682451
    CHIn ? %mov:"20029"_682451_683521

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_ishii2.81
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20029.chaJun 2;0.29712222.81

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. honto2 · 100.0%