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…
- 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…
Bitext has produced these dictionaries for 77 languages (including Indian and Asian languages)
and 25 language variants (including 6 variants for Spanish, Canadian French…).
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 purpose (complementing WordNet) and specific verticals like Finance, Human Resources, Legal…
All synonyms include linguistic attributes like POS, inflected forms, frequency in Bitext 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…)
- offensive language
- syntactic complexity…
- spelling, grammar checking
We also tag speech/voice transcription errors (customized for different ASR engines) and many more linguistic features: lemma, POS, morphological attributes, entities…
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, grammar checking
- speech/voice transcription errors (customized for different ASR engines)
- and many more linguistic features: lemma, POS, morphological attributes, entities…
SAN FRANCISCO, USA
