Natural Language Processing (NLP)

Natural Language Processing

To process and understand incoming end-user questions, Conversational AI Cloud uses a Natural Language Processing (NLP) pipeline consisting of several steps. This article explains the different parts that make up Conversational AI Cloud’s NLP.

Language Support

region	language	m of speakers	simple matching	basic NLP	full NLP	culture
Western Europe/World	English	360	✓	✓	✓	en
Western Europe	Dutch	21	✓	✓	✓	nl
Western Europe	French	75	✓	✓	✓	fr
Western Europe	German	89	✓	✓	✓	de
Western Europe	Italian	59	✓	✓	✓	it
Western Europe/Latin America	Spanish	405	✓	✓	✓	es
Eastern Europe	Polish	40	✓	✓		pl
Eastern Europe	Ukrainian	30	✓	✓		uk
Eastern Europe	Romanian	24	✓	✓		ro
Eastern Europe	Hungarian	13	✓	✓		hu
Eastern Europe	Slovak	12	✓	✓		sl
Eastern Europe	Czech	10	✓	✓		cs
Northern Europe	Swedish	9	✓	✓	✓	sv
Northern Europe	Danish	6	✓	✓	✓	da
Northern Europe	Norwegian	5	✓	✓	✓	no
Northern Europe	Finnish	5	✓	✓		fi
Southern Europe	Greek	12	✓	✓		el
Southern Europe/Latin America	Portuguese	215	✓	✓	✓	pt
Southern Europe	Serbo-Croatian	19	✓	✓		sr,hr
East Asia	Simplified Chinese	1052	✓	✓	✓	zh-CN
East Asia	Traditional Chinese	45	✓	✓	✓	zh-HK
Middle East/World	Arabic	280	✓	✓		ar
Middle East	Turkish	63	✓	✓		tr

Basic NLP includes stemming & lemmatization – this is needed for basic production.
Full NLP includes language-specific rules for cleanups, overrides, and rephrase.

Note: Languages that are not on this list, can currently only be used in FAQ projects, so without an open search for users. This is because in an FAQ project, no natural language processing is needed. The Questions are predefined, so recognition is strictly based on a keyword search.

Natural Language Processing (NLP)