PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

2.65 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (285 utterances, 754 words searched).

  1. keesatsu no kuruma ya . %mov:"30507"_88431_89842 FAT · japanese_ishii/30507.cha, line 64 · Jun 3;05
  2. sore ii kuruma yan ka . %mov:"30507"_787857_789146 FAT · japanese_ishii/30507.cha, line 412 · Jun 3;05
  1. japanese_ishii/30507.cha, line 64 · Jun, 3;5.07
    CHIpatokaa yattara na # mittsu ya de . %mov:"30507"_84037_86831
    FATun, patokaa yan,, kore . %mov:"30507"_86831_88431
    FAT*FAT: keesatsu no kuruma ya . %mov:"30507"_88431_89842
    FATnaa . %mov:"30507"_89842_91151
    CHIsoo ya [>] . %mov:"30507"_91151_91783
  2. japanese_ishii/30507.cha, line 412 · Jun, 3;5.07
    CHIhora . %mov:"30507"_784260_786128
    FATboroncho chau yan . %mov:"30507"_786128_787857
    FAT*FAT: sore ii kuruma yan ka . %mov:"30507"_787857_789146
    CHIii kuruma ka ? %mov:"30507"_789146_790455
    FATun . %mov:"30507"_790455_791045

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_ishii2.65
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/30507.chaJun 3;5.07754222.65

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. kuruma2 · 100.0%