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Description
In contrast to traditional word-for-word translation methods or statistical approaches, the GramTrans software leverages contextual rules to accurately differentiate between various translations of the same word or phrase. GramTrans™ provides exceptional, domain-neutral machine translation specifically tailored for Scandinavian languages. Its offerings are grounded in advanced, university-level research spanning Natural Language Processing (NLP), corpus linguistics, and lexicography. This research-driven system incorporates cutting-edge technologies, including Constraint Grammar dependency parsing and approaches for resolving dependency-based polysemy. It features robust analysis of source languages, along with techniques for morphological and semantic disambiguation. The system is supported by extensive grammars and lexicons created by linguists, ensuring a high level of independence across different domains such as journalism, literature, emails, and scientific texts. Furthermore, it boasts name recognition and protection capabilities, as well as the ability to recognize and separate compound words. The use of dependency formalism allows for deep syntactic analysis, while context-sensitive selection of translation equivalents enhances the overall accuracy and fluidity of the translations provided. Ultimately, GramTrans stands out as a sophisticated tool for anyone in need of precise and versatile translation solutions.
Description
fastText is a lightweight and open-source library created by Facebook's AI Research (FAIR) team, designed for the efficient learning of word embeddings and text classification. It provides capabilities for both unsupervised word vector training and supervised text classification, making it versatile for various applications. A standout characteristic of fastText is its ability to utilize subword information, as it represents words as collections of character n-grams; this feature significantly benefits the processing of morphologically complex languages and words that are not in the training dataset. The library is engineered for high performance, allowing for rapid training on extensive datasets, and it also offers the option to compress models for use on mobile platforms. Users can access pre-trained word vectors for 157 different languages, generated from Common Crawl and Wikipedia, which are readily available for download. Additionally, fastText provides aligned word vectors for 44 languages, enhancing its utility for cross-lingual natural language processing applications, thus broadening its use in global contexts. This makes fastText a powerful tool for researchers and developers in the field of natural language processing.
API Access
Has API
API Access
Has API
Integrations
Gensim
JavaScript
Microsoft Word
Mozilla Firefox
Python
WebAssembly
Integrations
Gensim
JavaScript
Microsoft Word
Mozilla Firefox
Python
WebAssembly
Pricing Details
$30 per 6 months
Free Trial
Free Version
Pricing Details
Free
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
GrammarSoft
Founded
1999
Country
Denmark
Website
gramtrans.com/languages/system-features/
Vendor Details
Company Name
fastText
Website
fasttext.cc/
