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. oomai [: oshimai] ka ? %mov:"20029"_507349_509077 FAT · japanese_ishii/20029.cha, line 290 · Jun 2;00
  2. oomai . %mov:"20029"_510306_511031 FAT · japanese_ishii/20029.cha, line 292 · Jun 2;00
  1. japanese_ishii/20029.cha, line 290 · Jun, 2;0.29
    FATa ! %mov:"20029"_501511_502060
    FATsore de oshimai ka ? %mov:"20029"_502060_507349
    FAT*FAT: oomai [: oshimai] ka ? %mov:"20029"_507349_509077
    CHIooma . %mov:"20029"_509077_510306
    FAToomai . %mov:"20029"_510306_511031
  2. japanese_ishii/20029.cha, line 292 · Jun, 2;0.29
    FAToomai [: oshimai] ka ? %mov:"20029"_507349_509077
    CHIooma . %mov:"20029"_509077_510306
    FAT*FAT: oomai . %mov:"20029"_510306_511031
    CHIkoohii nai waa . %mov:"20029"_511031_513011
    FATkoohii nai wa . %mov:"20029"_513011_513808

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. oomai2 · 100.0%