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. hassha ? %mov:"20029"_819574_820851 FAT · japanese_ishii/20029.cha, line 486 · Jun 2;00
  2. dore,, hassha te . %mov:"20029"_823066_824477 FAT · japanese_ishii/20029.cha, line 488 · Jun 2;00
  1. japanese_ishii/20029.cha, line 486 · Jun, 2;0.29
    FATe ? %mov:"20029"_817615_818052
    CHIashee wa ? %mov:"20029"_818052_819574
    FAT*FAT: hassha ? %mov:"20029"_819574_820851
    CHIassha nai wa . %mov:"20029"_820851_823066
    FATdore,, hassha te . %mov:"20029"_823066_824477
  2. japanese_ishii/20029.cha, line 488 · Jun, 2;0.29
    FAThassha ? %mov:"20029"_819574_820851
    CHIassha nai wa . %mov:"20029"_820851_823066
    FAT*FAT: dore,, hassha te . %mov:"20029"_823066_824477
    CHIarye ya . %mov:"20029"_824477_825487
    CHIasshaashi buwaa buwaai yo ! %mov:"20029"_825487_830272

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. hassha2 · 100.0%