pos: part-of-speech tagger

Description

pos returns part-of-speech (POS) tagged morpheme of the sentence.

Usage

pos(
  sentence,
  join = TRUE,
  format = c("list", "data.frame"),
  lang = NULL,
  sys_dic = "",
  user_dic = ""
)

Value

A string vector or a list of POS tagged morpheme will be returned in conjoined character vector form.

Arguments

sentence: A character vector of any length. For analyzing multiple sentences, put them in one character vector.
join: A bool to decide the output format. The default value is TRUE. If FALSE, the function will return morphemes only, and tags put in the attribute. if format="data.frame", then this will be ignored.
format: A data type for the result. The default value is "list". You can set this to "data.frame" to get a result as data frame format.
lang: Optional dictionary code ("ja", "ko", or "zh") selecting a dictionary installed via download_dic. This does not switch the MeCab engine. When specified, it overrides sys_dic.
sys_dic: A location of system MeCab dictionary. The default value is "".
user_dic: A location of user-specific MeCab dictionary. The default value is "".

Details

This is a basic function for MeCab part-of-speech tagger. The function gets a character vector of any length and runs a loop inside C++ to provide faster processing.

You can add a user dictionary to user_dic. It should be compiled by mecab-dict-index. You can find an explanation about compiling a user dictionary in the https://github.com/junhewk/RcppMeCab.

You can also set a system dictionary especially if you are using multiple dictionaries (for example, using both IPA and Juman dictionary at the same time in Japanese) in sys_dic. Using options(mecabSysDic=), you can set your preferred system dictionary to the R terminal.

The lang argument selects a dictionary; it does not switch the MeCab engine chosen when RcppMeCab was installed. Japanese and Chinese dictionaries use standard MeCab. Supported Korean behavior, including mecab-ko whitespace handling, requires the mecab-ko engine. Dictionary feature layouts are language-specific, and the historical data-frame columns do not expose all mecab-jieba metadata.

If you want to get a morpheme only, use join = False to put tag names on the attribute. Basically, the function will return a list of character vectors with (morpheme)/(tag) elements.