PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

3.17 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (671 utterances, 1,577 words searched).

  1. xxx naotta ka ? %mov:"20628"_2364307_2365408 FAT · japanese_ishii/20628.cha, line 1000 · Jun 2;06
  2. naotta wa . %mov:"20628"_2365408_2367769 FAT · japanese_ishii/20628.cha, line 1001 · Jun 2;06
  3. naotta yaan, hore . %mov:"20628"_2439974_2441061 FAT · japanese_ishii/20628.cha, line 1038 · Jun 2;06
  4. naotta yan . %mov:"20628"_2442055_2442055 FAT · japanese_ishii/20628.cha, line 1040 · Jun 2;06
  5. naotta yan . %mov:"20628"_2446495_2447891 FAT · japanese_ishii/20628.cha, line 1043 · Jun 2;06
  1. FATe [>] ? %mov:"20628"_2362964_2364307
    CHIhora [<] . %mov:"20628"_2362964_2364307
    FAT*FAT: xxx naotta ka ? %mov:"20628"_2364307_2365408
    FATnaotta wa . %mov:"20628"_2365408_2367769
    MOTwaa, sugo [: sugoi] . %mov:"20628"_2367769_2369555
  2. CHIhora [<] . %mov:"20628"_2362964_2364307
    FATxxx naotta ka ? %mov:"20628"_2364307_2365408
    FAT*FAT: naotta wa . %mov:"20628"_2365408_2367769
    MOTwaa, sugo [: sugoi] . %mov:"20628"_2367769_2369555
    FATnaoshita ? %mov:"20628"_2369555_2371841
  3. FAThai, naoshita yo . %mov:"20628"_2434762_2434762
    CHInaottenai yaan . %mov:"20628"_2435671_2439974
    FAT*FAT: naotta yaan, hore . %mov:"20628"_2439974_2441061
    FATmitegoran yo . %mov:"20628"_2441061_2442055
    FATnaotta yan . %mov:"20628"_2442055_2442055
  4. FATnaotta yaan, hore . %mov:"20628"_2439974_2441061
    FATmitegoran yo . %mov:"20628"_2441061_2442055
    FAT*FAT: naotta yan . %mov:"20628"_2442055_2442055
    FATchiin@o te yuwanai ka . %mov:"20628"_2443223_2444824
    FAThora, yutta . %mov:"20628"_2444824_2446495
  5. FATchiin@o te yuwanai ka . %mov:"20628"_2443223_2444824
    FAThora, yutta . %mov:"20628"_2444824_2446495
    FAT*FAT: naotta yan . %mov:"20628"_2446495_2447891
    FAThora . %mov:"20628"_2447891_2449309
    FAThora . %mov:"20628"_2449309_2452541

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_ishii3.17
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20628.chaJun 2;6.281,577553.17

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. naotta5 · 100.0%