INTERSPEECH 2023 Papers: A complete collection of influential and exciting research papers from the INTERSPEECH 2023 conference. Explore the latest advances in speech and language processing. Code included. Star the repository to support the advancement of speech technology!

An exploration of New York Times crossword answers from 1994-2017, i.e. the Will Shortz era.

[EMNLP 2021] LingFeat - A Comprehensive Linguistic Features Extraction ToolKit for Readability Assessment

⏳ ChatLog: Recording and Analysing ChatGPT Across Time

FieldWorks is a suite of software tools for language and cultural data, with support for complex scripts.

😸 💬 A module to compute textual lexical richness (aka lexical diversity).

My solutions to selected exercises to "Natural Language Processing with Python – Analyzing Text with the Natural Language Toolkit" by Steven Bird, Ewan Klein, and Edward Loper.

Python library for extracting quantitative, reproducible metrics of multi-level alignment between two speakers in naturalistic language corpora.

Keras-based python framework to compute phonological posterior probabilities from audio files

Speeding the availability of language resources for endangered languages. Tools such as this have the power to shift how we think about endangered languages. Rather than perceiving them as being antiquated, difficult to learn and on the brink of vanishing, we see them as modern, easily accessible for learning online in text and audio formats.

Morphological and syntactic analysis of Esperanto sentences

Digital Archive of American Indian Languages Preservation and Perseverance

This is a new backend implementation of the ANNIS linguistic search and visualization system.

Winner of LA Hack's Award Best Use of Wolfram Tech 🎉 An AI system to determine if a given statement is true or false.

Political Discourse Analysis (PDA) of Political Speech Transcripts using Natural Language Processing (NLP)

SAGA - Phonetic transcription software for all Spanish variants.

How readable is your text? Provide a text input and get its grade level. Scientifically validated.

Our ML model calculates the biasness of a political article based on linguistic features and classifies them as biased towards the ruling government, bias towards the opposition, or neutral.

Front-end application for 'Esperanto Grammar Analyzer' built with React.js.

This project related to one of my B.Tech final year project that investigates the influence of linguistic and sentiment analysis features on detecting fake reviews in e-commerce (Amazon).