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Multilingual-USAS
Lexicons for the Multilingual UCREL Semantic Analysis Systempymusas
Python Multilingual Ucrel Semantic Analysis SystemHEC
Resources on how to use the HEC at Lancaster Universityscience_parse_py_api
Python API for Science ParseLakeDistrictCorpus
Corpus of Lake District Writing, 1622-1900.web-corpus-construction
Part of the UCREL NLP Summer School 2016 and 2017convert
A C program written by Paul Rayson to convert between many of the different file formats in the UCREL NLP pipeline.CL-metaheaders
Metadata header format for computational and corpus linguisticsweb-cleaning
Part of the UCREL NLP Summer School 2016 and 2017SigEff
Significance and Effect size measures for corpus comparisonCQPFilter
A feature-extraction system to generate CQBWeb/CQB compatible corpora from XMLAraSAS
Arabic Semantic Analysis SystemUNLT
Urdu Natural Language Toolkitpymusas-models
PyMUSAS Modelsucrel-python-api
Python API to the UCREL Tool ChainIndonesian-TreeTagger-Docker-Build
Docker file to build the Indonesian TreeTagger.welsh-summarization-dataset
SAMUELS
SAMUELS project resourcesHumanJudgementsOfSentimentValues
Human ratings of sentiment for textual variationsS3-semtagging-multiling-applications
Part of the UCREL NLP Summer School 2016 and 2017lgram
Automatically exported from code.google.com/p/lgramSession_5_Large_Language_Models
ABOW
Adaptable bag of words (ABOW) the method used to test the need for domain adaptation within the finance domain, the method was used to create sentiment word lists for each company that was tested and a list for the oil sector. The sentiment word lists are within this repository and relate to the LREC 2016 paper.FreeTxt-Flask
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