PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

1.49 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (498 utterances, 1,339 words searched).

  1. ame futtekitara mienai yaro,, mae ga . %mov:"30327"_2716463_2718750 FAT · japanese_ishii/30327.cha, line 1034 · Jun 3;03
  2. ame futteru yan . %mov:"30327"_3295776_3296942 FAT · japanese_ishii/30327.cha, line 1216 · Jun 3;03
  1. FATaru yo . %mov:"30327"_2712209_2712765
    FAThikooki ni mo waipaa tsuiteru yo . %mov:"30327"_2712765_2716463
    FAT*FAT: ame futtekitara mienai yaro,, mae ga . %mov:"30327"_2716463_2718750
    FATwaipaa de ne +... %mov:"30327"_2718750_2721202
    CHIun . %mov:"30327"_2721202_2721795
  2. CHIxxx +... %mov:"30327"_3292257_3293674
    CHIhora, ame futtehen yan . %mov:"30327"_3293674_3295776
    FAT*FAT: ame futteru yan . %mov:"30327"_3295776_3296942
    CHIhora, mitemi . %mov:"30327"_3296942_3298042
    CHIkikoehen yan . %mov:"30327"_3298042_3300476

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_ishii1.49
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/30327.chaJun 3;3.271,339221.49

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. ame2 · 100.0%