PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

1.95 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (386 utterances, 1,028 words searched).

  1. fune ya nee . %mov:"11126"_144948_145959 FAT · japanese_ishii/11126.cha, line 113 · Jun 1;11
  2. xxx sore mo fune ya . %mov:"11126"_147626_147626 FAT · japanese_ishii/11126.cha, line 115 · Jun 1;11
  1. japanese_ishii/11126.cha, line 113 · Jun, 1;11.26
    FATkore nan da ? %mov:"11126"_142228_143061
    CHIune . %mov:"11126"_143061_144948
    FAT*FAT: fune ya nee . %mov:"11126"_144948_145959
    CHIkoe wa ? %mov:"11126"_145959_147626
    FATxxx sore mo fune ya . %mov:"11126"_147626_147626
  2. japanese_ishii/11126.cha, line 115 · Jun, 1;11.26
    FATfune ya nee . %mov:"11126"_144948_145959
    CHIkoe wa ? %mov:"11126"_145959_147626
    FAT*FAT: xxx sore mo fune ya . %mov:"11126"_147626_147626
    FATyotto ya nee . %mov:"11126"_149324_150521
    CHIotto ? %mov:"11126"_150521_151727

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_ishii1.95
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/11126.chaJun 1;11.261,028221.95

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. fune2 · 100.0%