Natural language processing (NLP) is a field of computer science, artificial intelligence and computational linguistics concerned with the interactions between computers and human (natural) languages, and, in particular, concerned with programming computers to fruitfully process large natural language corpora. Challenges in natural language processing frequently involve natural language understanding, natural language generation (frequently from formal, machine-readable logical forms), connecting language and machine perception, dialog systems, or some combination thereof.
At enlyft, we use sophisticated, patent-pending algorithms to track the use of various Natural Language Processing (NLP) products and technologies. We track 36 products in the Natural Language Processing (NLP) category, and have found 447,335 companies using these products.
Product |
Install base
# of companies we found using this product |
Market Share |
---|---|---|
Google Translate API | 442,423 | 98% |
MXNet | 1,927 | < 5% |
Apache OpenNLP | 526 | < 5% |
TextBlob | 446 | < 5% |
Amazon Comprehend | 421 | < 5% |
Deeplearning4j | 269 | < 5% |
Stanford CoreNLP | 175 | < 5% |
FuzzyWuzzy | 171 | < 5% |
Rossum | 104 | < 5% |
NLTK | 103 | < 5% |
GitHub Copilot | 95 | < 5% |
LingPipe | 81 | < 5% |
IBM Watson Natural Language Understanding | 58 | < 5% |
Synthesys | 57 | < 5% |
Apache cTAKES | 57 | < 5% |
Diffbot | 42 | < 5% |
GPT-3 | 35 | < 5% |
Docsvault | 33 | < 5% |
spaCy | 32 | < 5% |
textacy | 30 | < 5% |
Google Cloud Natural Language API | 26 | < 5% |
IBM Watson Tone Analyzer | 24 | < 5% |
IBM Watson Natural Language Classifier | 23 | < 5% |
Bing Spell Check API | 20 | < 5% |
Cortical.io | 18 | < 5% |
IBM Watson Text to Speech | 16 | < 5% |
IBM Watson Knowledge Studio | 15 | < 5% |
Cohere | 15 | < 5% |
nlpjs | 14 | < 5% |
ChronoScan | 13 | < 5% |
The Stanford Parser | 13 | < 5% |
Stanford Named Entity Recognizer | 13 | < 5% |
KoNLPy | 13 | < 5% |
NLP4J | 11 | < 5% |
AlgoDocs | 10 | < 5% |
MALLET | 6 | < 5% |