PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

2.91 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (312 utterances, 687 words searched).

  1. koo hairu no [<] ? %mov:"20407"_83428_84966 FAT · japanese_ishii/20407.cha, line 59 · Jun 2;04
  2. hai, kore de koo shite kaku no yo . %mov:"20407"_1452604_1453923 FAT · japanese_ishii/20407.cha, line 697 · Jun 2;04
  1. FAThairi tte ? %mov:"20407"_82501_83428
    CHIhairi [>] . %mov:"20407"_83428_84966
    FAT*FAT: koo hairu no [<] ? %mov:"20407"_83428_84966
    FAThora, hairenai yan . %mov:"20407"_84966_85948
    CHIhoa aiu desho ? %mov:"20407"_85948_88673
  2. FATkitegoran,, koko kitegoran. %mov:"20407"_1448321_1449759
    CHIkoko xxx nai yoo . %mov:"20407"_1449759_1452604
    FAT*FAT: hai, kore de koo shite kaku no yo . %mov:"20407"_1452604_1453923
    FATkore de kaku no yo,, piipiipii@o tte . %mov:"20407"_1453923_1457849
    CHIpi pipi ka ? %mov:"20407"_1457849_1460373

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_ishii2.91
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20407.chaJun 2;4.07687222.91

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. koo2 · 100.0%