[EMNLP 2021] LingFeat - A Comprehensive Linguistic Features Extraction ToolKit for Readability Assessment
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Updated
Mar 7, 2023 - Python
[EMNLP 2021] LingFeat - A Comprehensive Linguistic Features Extraction ToolKit for Readability Assessment
😸 💬 A module to compute textual lexical richness (aka lexical diversity).
Python library for extracting quantitative, reproducible metrics of multi-level alignment between speakers in naturalistic language corpora.
Keras-based python framework to compute phonological posterior probabilities from audio files
Morphological and syntactic analysis of Esperanto sentences
How readable is your text? Provide a text input and get its grade level. Validated against the source data.
A repository for paper ImpScore: A Learnable Metric For Quantifying The Implicitness Level of Sentences accepted to ICLR 2025.
Linguistic Field Data Management and Analysis System [LiFE]
This repository contains an implementation of the CKY parsing for English. (NLP)
A visuallization for cognates in various languages and how they spread
An experiment to demonstrate the biases and predictability of our world.
Lexical & semantic analysis of the CF Conventions Standard Names
The aim of this mini-project is to to analyze the text and phonemic similarities between the Afan Oromo and Somali languages by examining word frequency, overlap, and phonemic distribution.
Access to the Unicode Character Database (UCD)
The following is a research paper with the hypothesis to study whether teenage development can also be observed via their twitter tweets. Using a dataset of teenagers from twitter I was able to confirm my study that as we develop as humans our development is also found on our social media via linguistic aspects such as spelling, maturity, bad wo…
Parse software-code for semantic identifier names
Code, analyses, and data for 'A Linguistic Comparison between Human and ChatGPT-Generated Conversations'
Tujtradukilo el Esperanto al Arkaikam Esperantom
limco: a linguistic measure collection
Speechart lets you create artful visualizations of language data, including morphemes and IPA pronunciations.
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