PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.00 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (766 utterances, 2,002 words searched).

  1. ton [<] # tonneru hotten ne . %mov:"20824"_3515968_3517801 FAT · japanese_ishii/20824.cha, line 1646 · Jun 2;08
  2. tonneru hotten ne . %mov:"20824"_3518257_3519289 FAT · japanese_ishii/20824.cha, line 1648 · Jun 2;08
  3. xxx [<] un, jidoosha ga tonneru hotten ne . %mov:"20824"_3520196_3523347 FAT · japanese_ishii/20824.cha, line 1651 · Jun 2;08
  4. tonneru horu jidoosha ya . %mov:"20824"_3523347_3524739 FAT · japanese_ishii/20824.cha, line 1652 · Jun 2;08
  5. tonneru . %mov:"20824"_3528551_3529251 FAT · japanese_ishii/20824.cha, line 1655 · Jun 2;08
  6. un, tonneru ka ? %mov:"20824"_3533535_3534759 FAT · japanese_ishii/20824.cha, line 1659 · Jun 2;08
  1. japanese_ishii/20824.cha, line 1646 · Jun, 2;8.24
    FATsore nan da . %mov:"20824"_3514836_3515968
    CHItonne [>] +... %mov:"20824"_3515968_3517801
    FAT*FAT: ton [<] # tonneru hotten ne . %mov:"20824"_3515968_3517801
    CHIn ? %mov:"20824"_3517801_3518257
    FATtonneru hotten ne . %mov:"20824"_3518257_3519289
  2. japanese_ishii/20824.cha, line 1648 · Jun, 2;8.24
    FATton [<] # tonneru hotten ne . %mov:"20824"_3515968_3517801
    CHIn ? %mov:"20824"_3517801_3518257
    FAT*FAT: tonneru hotten ne . %mov:"20824"_3518257_3519289
    CHIn ? %mov:"20824"_3519289_3520196
    CHItonne [>] +... %mov:"20824"_3520196_3523347
  3. japanese_ishii/20824.cha, line 1651 · Jun, 2;8.24
    CHIn ? %mov:"20824"_3519289_3520196
    CHItonne [>] +... %mov:"20824"_3520196_3523347
    FAT*FAT: xxx [<] un, jidoosha ga tonneru hotten ne . %mov:"20824"_3520196_3523347
    FATtonneru horu jidoosha ya . %mov:"20824"_3523347_3524739
    CHIn ? %mov:"20824"_3524739_3525821
  4. japanese_ishii/20824.cha, line 1652 · Jun, 2;8.24
    CHItonne [>] +... %mov:"20824"_3520196_3523347
    FATxxx [<] un, jidoosha ga tonneru hotten ne . %mov:"20824"_3520196_3523347
    FAT*FAT: tonneru horu jidoosha ya . %mov:"20824"_3523347_3524739
    CHIn ? %mov:"20824"_3524739_3525821
    CHIjidoosha ga tonderu [: tonneru] ? %mov:"20824"_3525821_3528551
  5. japanese_ishii/20824.cha, line 1655 · Jun, 2;8.24
    CHIn ? %mov:"20824"_3524739_3525821
    CHIjidoosha ga tonderu [: tonneru] ? %mov:"20824"_3525821_3528551
    FAT*FAT: tonneru . %mov:"20824"_3528551_3529251
    CHIjidoosha no tonderu [: tonneru] ka . %mov:"20824"_3529251_3531433
    FATun . %mov:"20824"_3531433_3532052
  6. japanese_ishii/20824.cha, line 1659 · Jun, 2;8.24
    FATun . %mov:"20824"_3531433_3532052
    CHIha, tonneru ya . %mov:"20824"_3532052_3533535
    FAT*FAT: un, tonneru ka ? %mov:"20824"_3533535_3534759
    CHItonneru . %mov:"20824"_3534759_3535842
    FATuun . %mov:"20824"_3535842_3536395

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_ishii3.00
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20824.chaJun 2;8.242,002663.00

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. tonneru6 · 100.0%