Bitext Part-Of-Speech Tagger assigns to each word within a sentence a part of speech such as noun, verb, adverb etc. in more than 20 languages to solve disambiguation and make your work easier.
POS Tagger helps you taking the context of the word into account to provide to the user only the relevant POS for that specific context. Everyone thinks that "spoke" is the past of the verb to speak, however in the sentence: “The front wheel has a broken spoke” we will provide the following analysis.
“In English is not that common but in inflectional languages like Spanish or Russian” is key if you want your machine learning technology to work properly when using text.
POS tagging is a very popular technique in the NLP community for analyzing text with a finer granularity and accuracy. Bitext POS Tagger can be used for different Machine Learning tasks like:
Enriching training text
Text clustering or classification
Preprocessor for parser
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