Search Results for "word processing"

Glint Translator is a high-performance Windows application for real-time in-game and voice translation without interrupting gameplay. It supports 240+ languages using DeepL, Google, OpenAI, Azure, and Google Gemini models. The interface is available in 18 languages. Features • 3 Translation Modes: Fluent (parallel), Area (overlay), Full Screen (smart detection) • Speaker detection with color-coding • Glint AI custom terminology control • Game-based profile system • Advanced...

Virastyar is a free and open-source (FOSS) spell checker. It stands upon the shoulders of many free/libre/open-source (FLOSS) libraries developed for processing low-resource languages, especially Persian and RTL languages Publications: Kashefi, O., Nasri, M., & Kanani, K. (2010). Towards Automatic Persian Spell Checking. SCICT. Kashefi, O., Sharifi, M., & Minaie, B. (2013). A novel string distance metric for ranking Persian respelling suggestions. Natural Language Engineering,...

CRFSharp(aka CRF#) is a .NET(C#) implementation of Conditional Random Fields, an machine learning algorithm for learning from labeled sequences of examples. It is widely used in Natural Language Process (NLP) tasks, for example: word breaker, postagging, named entity recognized, query chunking and so on. CRF#'s mainly algorithm is the same as CRF++ written by Taku Kudo. It encodes model parameters by L-BFGS. Moreover, it has many significant improvement than CRF++, such as totally...

Voice is a text to speech program with many features. Some of the features include: Reads Text, Rich Text and Word Documents aloud. Custom greeting. Professional document editor. Clipboard monitoring and processing. Good looking animated character.

Concrete Voice is a text to speech program. It can read the time, anounce weather, read text file, save text files to audio files, open any text file (supports all text encoding formats) and many more advance stuff!

Bi-gram applications based on language models produced by SRILM from Chinese Wikipedia corpus, include Chinese word segmenter, word-based (not character-based) Traditional-Simplified Chinese converter and Chinese syllable-to-word converter.

This project attempts to develop natural language processing routines as applied to a Bible text domain. Many common technologies (e.g., tokenization, Brill POS tagger) are used in conjunction with theoretical paradigms (e.g., hierarchical word definition trees, phrasal concordance).