Automating Data Annotation and Data Generation for ML/AI

Bitext automatically annotates and generates NLP data for and AI/ML applications, both for
training and for evaluation.

Our unique differentiator: we automate all processes, using our NLP technology to annotate
data and NLG technology to produce Synthetic Training Data.


Our Customers

Working with 3 of the Top 5 Largest Companies in NASDAQ

At Bitext, we generate four main types of data:


1. Text Annotation Tools to tag your data with Linguistic Knowledge: POS, NER, Topic

Bitext provides core linguistic tools to automatically pre-annotate custom corpora & datasets:


  • Lemma, POS and morphological attributes
  • Named Entities like Person Name, Last Name, Company, etc.
  • Key Phrases or Constituents
  • Topic-Level sentiment analysis
  • Offensive language

2. Lexical and Semantic Data for NLP applications in 77 languages and 25 variants

Core linguistic data for any NLP application: Lexical Data and Semantic Data

Lexical Data:

Bitext produces lexical dictionaries that contain detailed information like POS, morphological
attributes, frequency in corpora, and more

Bitext has produced these dictionaries for 77 languages (including Indian and Asian languages)
and 25 language variants (including 6 variants for Spanish, Canadian French, etc.)

These dictionaries are used for a wide range of use cases:


  • Lemmatization for search and indexing
  • Lemmatization for topic modelling
  • Spelling and grammar checking
  • Key phrase extraction
  • Corpus annotation

Semantic Data: 

Bitext produces synonym dictionaries both for general purposes (complementing WordNet) and for specific verticals like Finance, Human Resources, and Legal.

All synonyms include linguistic attributes like POS, inflected forms, frequency in Bitext in general, and vertical-specific corpora.

3. Synthetic Text Generation Tools to produce custom data with NLG technology

Currently focused on assistants/chatbots, Bitext NLG toolset generates custom training and
eval datasets for your chatbots.

These datasets are annotated for:

  • Language register (colloquial, formal, etc.)
  • Offensive language
  • Syntactic complexity
  • Spelling and grammar checking

We also tag speech/voice transcription errors (customized for different ASR engines) and other linguistic features like lemma, POS, morphological attributes, entities, and more

4. Pre-Built Datasets to train and evaluate your assistant/chatbot

Bitext has produced different vertical datasets to instantly train and evaluate your bot

These datasets are already tagged with:


  • Language register (colloquial, formal…)
  • Offensive language
  • Syntactic complexity…
  • Spelling and grammar checking
  • Speech/voice transcription errors (customized for different ASR engines)
  • Linguistic features like lemma, POS, morphological attributes, entities, and many more


Camino de las Huertas, 20, 28223 Pozuelo
Madrid, Spain


541 Jefferson Ave Ste 100, Redwood City
CA 94063, USA