Search Results for "corpus analysis"
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Showing 34 open source projects for "corpus analysis"
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gensim
Topic Modelling for Humans
Gensim is a Python library for topic modeling, document indexing, and similarity retrieval with large corpora. The target audience is the natural language processing (NLP) and information retrieval (IR) community. -
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ArXiv MCP Server
A Model Context Protocol server for searching and analyzing arXiv
arxiv-mcp-server bridges AI assistants and the arXiv repository through a clean MCP interface, enabling search, metadata retrieval, and content access without bespoke scraping. With simple tools like “search” and “fetch,” an agent can find papers, pull abstracts, and download PDFs for downstream summarization or analysis. The project includes packaging and CI to publish to PyPI, plus tests and linting for reliability. Issue threads show feature requests such as extracting embedded LaTeX and improving markdown conversion, reflecting active community use in research flows. It’s designed to be drop-in for MCP clients, giving them typed inputs/outputs and predictable errors around a well-known academic corpus. -
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FlexLLMGen
Running large language models on a single GPU
...This design allows organizations to deploy powerful language models for high-volume tasks without the infrastructure costs typically associated with large-scale AI systems. The project is particularly useful for workloads that prioritize throughput over latency, including benchmarking experiments and large corpus analysis. -
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IRAMUTEQ : Interface de R pour les Analyses Multidimensionnelles de Textes et de Questionnaires. Logiciel de traitement de données pour des corpus texte ou de type individus/caractères. Permet notamment de réaliser des analyses de type "ALCESTE"
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TEXminer
Text Mining Classification for Texts in ASCII, Unicode and PDF Format.
...The Text Database can be saved in XML where the orginal Text, the Sentence and Word Lists and additional Parameters (e.g. Abbreviations) are stored. TEXminer allows Language Detection by Letter Frequency Analysis, finding important Words by Cooccurrence Analysis, Determination of Central Expressions, Thematic Text Classification (also Semantic Groups) Fingerprint Comparison and Word Frequency. Because TEXminer is not disigned to have a Reference Corpus, Thematic Model Statistics uses Language Models (lexicons) to have Background Knowledge about certain Languages (English, German, French, Spanish, Italian, Russian), which are derived from Decaleon Project. ... -
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modnlp
Modular Suite of NLP Tools
...It provides an API and tools for (inverted) indexing, storage and retrieval of large amounts of text, with (XML-based) handling of meta-data, tools for text categorisation, including, functionality for XML parsing, term set reduction (and basic keyword extraction), probabilistic classifier induction, sample classification tools, and evaluation modules, a suite of corpus management, curation and distributed access tools. If you use the tool please consider referencing it using the following article: Luz, S., & Sheehan, S. (2020). Methods and visualization tools for the analysis of medical, political and scientific concepts in Genealogies of Knowledge. Palgrave Communications, 6(1), 1-20. ... -
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Dodge gpt
Bypass Ai content for GPTZero and others making text Undetectable
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modnlp-plugins
External plugins for modnlp/teccli
This is a general project for modnlp/teccli plugins, with focus on text visualizaton. -
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Linguistic Analyzer
The Linguistic Analyzer is a tool for corpus analysis and comparison
The Linguistic Analyzer (Almuhalil Alloghawy) is a free tool designed by a team from Al-Imam Muhammad bin Saud islamic university that can be used for corpus analysis and comparison in terms of the several linguistic characteristics, such as frequency lists generation, concordances, collocation extraction, the difference between two words, and keyword identification. -
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This is an application generator for conflation algorithms in perl language. This system supports generation perl source code for a stemmer from a rule file, running a stemmer which is supported by the system, parsing a corpus file.
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jieba
Stuttering Chinese word segmentation
"Jaba" Chinese word segmentation, do the best Python Chinese word segmentation component. Four word segmentation modes are supported. Precise mode, which tries to cut the sentence most precisely, suitable for text analysis. Full mode, scans all the words that can be formed into words in the sentence, the speed is very fast, but the ambiguity cannot be resolved. The search engine mode, on the basis of the precise mode, divides the long words again to improve the recall rate, which is suitable... -
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ComplexEventExtraction
Expression pattern collection of Chinese compound event extraction
ComplexEventExtraction is a Chinese NLP project for identifying relationships between events expressed in compound sentences. It defines patterns for causal, conditional, sequential, contrastive, and parallel event structures. The system uses explicit connective words and phrase combinations to split text into linked event pairs. Extracted results can support event graphs that represent how situations develop, conflict, or depend on one another. The repository catalogs hundreds of linguistic... -
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Open data for a Khmer language corpus and lexicographic data that can be used for the development of free language tools for Khmer language, such as automatic translators, dictionaries, linguistic analysis tools, etc.
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Corpus Toolkit
A text management tool for linguistic purposes...
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SmartMuseum
Software for work with Corpus of Everyday life history Sources
...In this project, we consider the problem of creating software infrastructure for collaborative semantic annotation, information relation, and personalized access to corpus of everyday life history sources. Project financially supported from Department for Humanities of Russian Fund for Basic Research according to project # 16-01-12033. Authors: Vdovenko A., Marchenkov S., Petrina O., Korzun D. -
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Natural Language Analysis with Ngrams
NLP tool for statistical analysis of words, sentences, documents
...I will JAR-it once I decide that it can be called a final release. This project was made by creating a corpus from the Google Ngrams data for English Language, version 20120701. EOWL list of English words was used to filter-out the words from Ngrams data. For each year, per word, the data was added and calculated to describe the average appearance of a word per document for a given year. Before using this program, you MUST download the corpus. -
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Persica-A new Persian corpus for NLP
This project presents a new corpus for NEWS text analysis in Persian
Lack of multi-application text corpus despite of the surging text data is a serious bottleneck in the text mining and natural language processing especially in Persian language. This project presents a new corpus for NEWS articles analysis in Persian called Persica. NEWS analysis includes NEWS classification, topic discovery and classification, category classification and many more procedures. -
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BM_news
News Report Corpus for Recommendation
Authors: Juan Cigarrán, Jose Luis Martinez, Angel Castellanos, David Hernandez-Aranda, Ana García-Serrano The corpus contains 5360 news reports from 14 different Spanish Newspapers of different topics and scopes. The corpus also includes a three-level (news, subcategory, category) modelling, based on the approach presented in: Castellanos, A. Cigarrán, J. Garcia-Serrano, A. Content-based Recommendation: Experimentation, Analysis and Evaluation in a Case Study. ... -
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Khmer Automatic Translation
Khmer-English-Khmer Automatic Translation
The project attempts to develop a parallel-corpus-based hybrid high quality English-Khmer-English automatic translation system based on statistical analysis and enhanced with part-of-speech analysis. -
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The Deep Email Miner Application is a software solution for the multistaged analysis of an Email Corpus. Social network analysis and text mining techniques are connected to enable an in depth view into the underlying information. The self-executable Version 1.1 jar file will now run on Java 1.5 or higher. A Windows executable file of Version 1.1 is also provided in the Files section. Documentation can be found on the project homepage.
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CRFSharp
CRFSharp is a .NET(C#) implementation of Conditional Random Field
CRFSharp(aka CRF#) is a .NET(C#) implementation of Conditional Random Fields, an machine learning algorithm for learning from labeled sequences of examples. It is widely used in Natural Language Process (NLP) tasks, for example: word breaker, postagging, named entity recognized, query chunking and so on. CRF#'s mainly algorithm is the same as CRF++ written by Taku Kudo. It encodes model parameters by L-BFGS. Moreover, it has many significant improvement than CRF++, such as totally... -
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A toolkit with using Suffix Array indexing for empirical natural language processing. Providing functions such as searching the occurrences of n-grams in the corpus and suffix array language model which can use arbitrarily long history.
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An open-source corpus analysis class library written in C#. GUI of Tenka Text 0.1.3 comes with Wordlister - an advanced, extremely fast graphical wordlist tool and a simple regex concordance tool. Tenka Text - the open-source answer to WordSmith Tool
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PyAnnotation is a Python Library to access and manipulate linguistically annotated corpus files. Supported file formats are Kura XML, Elan XML and Toolbox files. A Corpus Reader API is provided to support statistical analysis within the NLTK.
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This proyect presents a system, which, from a corpus of documents, extracts information about a theme area, and a pedagogical components collection. This information is packed into fine granularity learning objects (metadata included).
