Four word embedding models implemented in Python. Supporting arbitrary context features

A Lite Bert For Self-Supervised Learning Language Representations

datagrand 2019 information extraction competition rank9

Touch typing trainer using N-grams as data source, with options to customize the auto-generated lessons and specify the minimum typing performance needed. There are sound/color effects as well.

Python implementation of an N-gram language model with Laplace smoothing and sentence generation.

Mirror of SRILM

Fast n-Gram Tokenization

Get n-grams from text

Colibri core is an NLP tool as well as a C++ and Python library for working with basic linguistic constructions such as n-grams and skipgrams (i.e patterns with one or more gaps, either of fixed or dynamic size) in a quick and memory-efficient way. At the core is the tool ``colibri-patternmodeller`` whi ch allows you to build, view, manipulate a…

A TUI tool to help you type faster and learn new layouts. Includes a free cat.

A fuzzy matching string distance library for Scala and Java that includes Levenshtein distance, Jaro distance, Jaro-Winkler distance, Dice coefficient, N-Gram similarity, Cosine similarity, Jaccard similarity, Longest common subsequence, Hamming distance, and more..

Ngrams with Basic Smoothings

natural language processing

Make N-Gram for Uyghur language

🍰 A library for creating n-grams, skip-grams, bag of words, bag of n-grams, bag of skip-grams.

Coding mistake locator

multiprocess unsupervised chinese_detect_words ngram_combination

Cluster and merge similar string values: an R implementation of Open Refine clustering algorithms

大模型预训练中文语料清洗及质量评估 Large model pre-training corpus cleaning

Programming for NLP Project - Implement a basic n-gram language model and generate sentence using beam search