Avar tools

Companion utilities around the dictionary.

Available

Avar IME (Windows)

A Windows Text Services Framework (TSF) keyboard input method for typing Avar, featuring palochka and digraph support with a candidate window.

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Coming soon

OCR (Optical Character Recognition)

Upcoming tools for digitizing printed Avar texts, books, and documents into searchable digital formats.

Coming soon

ASR & TTS

Upcoming automatic speech recognition and text-to-speech models to bridge the gap between written and spoken Avar.

Coming soon

REST API & Swagger

An upcoming programmatic interface for developers and linguists. It will allow third-party apps, spell-checkers, and NLP models to securely draw raw dictionary data and linguistic tags directly from AvarLab.

Coming soon

POS tagger & corpus CLI

An upcoming command-line tool for Part-of-Speech tagging and corpus management.

Coming soon

Avar IPA and Romanization Converter

Upcoming scientific and ASCII romanization helpers to power headword badges and custom workflows.

Coming soon

In-browser phonotactic checker

Plans to expose phonotactic checking rules as a text area and results pane directly on this site.

Coming soon

CoNLL-U export

Upcoming administrative and export helpers to assemble treebank-ready structures for downloading.

Coming soon

Syntactic Role Predictor

A dependency parser to predict syntactic roles for all 24 grammatical cases in Avar sentences.

Coming soon

ML POS Tagger

A machine learning-based model designed to achieve high-accuracy Part-of-Speech tagging for Avar texts.

Coming soon

Collocation & N-gram Metrics

Statistical association measures to discover multi-word expressions, idioms, and common word pairings.

Coming soon

Named Entity Recognition

Infrastructure to automatically extract and tag Avar toponyms, ethnonyms, and historical figures from the corpus.

Coming soon

Semantic-Role Labelling (SRL)

A framework to map verb argument structures to actual spans of text for deep semantic analysis.

Coming soon

Translation Suggestion Model

An AI-powered model that suggests accurate translations based on contextual corpus data.

Coming soon

Educational Tools

Upcoming interactive resources and materials designed to support Avar language learning and education.