Common problem:

Machine Learning algorithms don't understand human language

AI must understand humans and to do so it needs to understand human language. Which is the easiest way to do it? Starting from basics: using POS tagging. POS Tagging service provides you the basic information of each word so you can speed up your time while dealing with texts, no matter the final application.


POS Tagger solves disambiguation and makes your work easier

POS Tagger takes the context of the word into account to provide only the correct POS for that specific context.

One could think that “spoke”, without further context, is the past of the verb “to speak” – however, for the sentence “The front wheel has a broken spoke.” we will provide the following analysis:

Entity Extraction

I want to try it


Enriching training text

Speed up the training of your Machine Learning algorithms by using POS tagging. Adding the part-of-speech of each word of your text will reduce the number of errors made by the algorithm each time it has to deal with ambiguous words, and there are many of them in every language (“like”, “while”, “that”, “can”...).

Topic Modelling

POS tagging helps to disambiguate words. Being able to distinguish the different meanings of any word helps Machine Learning systems to gather words in groups using proper criteria.

Preprocessing for parser

Part-of-speech tagging is an important component of any natural language processing pipeline. POSes provide a large amount of information about each word within a text and its neighbors and are essential to understanding the syntactic structure of the sentence.



Detects all the possible POSes and return only the correct one

The POS Tagging service provides the part-of-speech (POS) for each of the words in a given sentence. When a word can have several POSes, the relevant POS will be decided using syntactic and morphological analysis.

Goes beyond tokens and groups relevant expressions

The service detects words even though they may be divided by a space. For example, for a sentence like “They actually have plenty of different models”, the analysis will treat “plenty of” as a whole word, with the POS “adjective”.

Available in 20 languages

The service analyzes sentences written in English, Spanish, German, French, Russian, Ukrainian, Dutch, Hungarian, Danish, Croatian, Czech, Turkish and many other languages.

Contact Us

If you have any doubt or you would like to discuss any project you have in mind, do not hesitate to contact us! We will be happy to help you.

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