Extract lemmata from MeCab output for Japanese
lemmata = textanalytics.ja.mecabToLemma(words,info)
lemmata = textanalytics.ja.mecabToLemma(words,info) extracts lemmata (normalized words) given MeCab output in the format returned by the MeCab-ipadic dictionary.
lemmata
words
info
collapse all
Input tokens, specified as a string vector.
Data Types: string
string
Information struct with the following fields:
Feature – String vector of tokens of the same size as words containing the MeCab output lines in ChaSen format without the split tokens themselves.
Feature
PartOfSpeech – Numerical code used inside the MeCab-ipadic dictionary for the part-of-speech classification.
PartOfSpeech
Data Types: struct
struct
Extracted lemmata, returned as a string vector the same size as words.
addLemmaDetails | mecabOptions | normalizeWords | textanalytics.ja.mecabToNER | textanalytics.ja.mecabToPOS | tokenizedDocument
addLemmaDetails
mecabOptions
normalizeWords
textanalytics.ja.mecabToNER
textanalytics.ja.mecabToPOS
tokenizedDocument