Search Results for "extraction"
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Showing 26 open source projects for "extraction"
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PDFMathTranslate
PDF scientific paper translation with preserved formats
PDFMathTranslate is a Python-based tool that uses AI translation to convert academic PDFs into bilingual (e.g. Chinese-English) documents while preserving formatting, including math notation. It supports OCR-enhanced content and offers CLI, GUI, Docker, and Zotero integration under AGPL v3. -
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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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TIES
A smart search engine for medical documents
TIES (Text Information Extraction System) is a clinical text search engine that uses Natural Language Processing techniques to extract medical concepts from free text clinical reports. It provides secure de-identified access to this information and has in built collaboration tools and honest broker functionality. It is licensed for academic use under the BSD license. -
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Musaheb
An Arabic collocation extraction tool
“Musaheb”, an Arabic collocation extraction tool that has been designed and implemented to overcome the limitations of existing collocation extraction tools. “Musaheb” is able to extract n-gram collocations up to 5-gram, in addition to extracting the collocates of the nodes (the word-types we are looking for its collocates) within a window size of zero to 15 words. Moreover, it provides eight collocation statistics to calculate the strength of the collocation, and permits the input of various constraints during node selection and collocate extraction. -
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Semantic Assistants
Natural Language Processing (NLP) for the Masses
Semantic Assistants support users in content retrieval, analysis, and development, by offering context-sensitive NLP services directly integrated in standard desktop clients, like a word processor, and web information systems, like a wiki. -
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TEES
Turku Event Extraction System
Turku Event Extraction System (TEES) is a free and open source natural language processing system developed for the extraction of events and relations from biomedical text. It is written mostly in Python, and should work in generic Unix/Linux environments. Currently, the TEES source code repository still remains on GitHub at http://jbjorne.github.com/TEES/ where there is also a wiki with more information. -
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Phrasal
Statistical phrase-based machine translation system
...Distinctive features include: providing an easy to use API for implementing new decoding model features, the ability to translating using phrases that include gaps (Galley et al. 2010), and conditional extraction of phrase-tables and lexical reordering models. Developed by The Natural Language Processing Group at Stanford University, a team of faculty, postdocs, programmers and students who work together on algorithms that allow computers to process and understand human languages. Our work ranges from basic research in computational linguistics to key applications in human language technology, and covers areas such as sentence understanding, automatic question answering, machine translation, syntactic parsing and tagging, sentiment analysis. -
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Drug Extraction
Drug name extraction
Drug name recognition and normalisation/grounding to DrugBank ids and standard names. Package provides 2 taggers: 1. DrugTagger - CRF-based with DrugBank presence feature (see feature set for details). 2. DrugnameGazetteer - gazetteer/dictionary-based. Dictionary created from DrugBank.ca database. Both taggers include grounding/normalisation to DrugBank ids and standard names. Feature set: Word, Word-1, Word+1, Word-1_Word, Word_Word+1, DrugBankPresence, POS DrugBankPresence... -
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KneeTex is an open–source, stand–alone application for information extraction from narrative reports that describe an MRI scan of the knee. Given an MRI report as input, the system outputs the corresponding clinical findings in the form of JavaScript Object Notation objects. The extracted information is mapped onto TRAK, an ontology that formally models knowledge relevant for the rehabilitation of knee conditions.
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mwetoolkit
THIS PROJECT MIGRATED TO https://gitlab.com/mwetoolkit/mwetoolkit3/
THIS PROJECT MIGRATED TO https://gitlab.com/mwetoolkit/mwetoolkit3/ The Multiword Expressions toolkit aids in the automatic identification and extraction of multiword units in running text. These include idioms (kick the bucket), noun compounds (cable car), phrasal verbs (take off, give up), etc. Even though it focuses on multiword expresisons, the framework is quite complete and can also be useful in any corpus-based study in computational linguistics. The mwetoolkit can be applied to virtually any text collection, language, and MWE type. ... -
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DCTFinder
Extract title and creation time from web page.
...DCTFinder is a system that parses a web page and extracts from its content the title and the creation date of this web page. DCTFinder combines heuristic title detection, supervised learning with Conditional Random Fields (CRFs) for document date extraction, and rule-based creation time recognition. DCTFinder is released under CeCILL free software license agreement. The system is described in the following paper (see 'Files' section): Xavier Tannier. "Extracting News Web Page Creation Time with DCTFinder". Proceedings of the 9th Language Resources and Evaluation Conference. ... -
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FALCON - Text Search Java Project
JSON based text search Java Project
...It also takes care of jumbling of words within query and spelling mistakes. Commonly used techniques in this project are Natural Language Processing, Information Extraction and Question-Answering Architecture. ---------------------- - Latest Version - ---------------------- Details of latest version can be found on project website - http://geekdadaji.com --------------------------- - CONTACT DETAILS - --------------------------- CREATOR : SWAPNIL A JADHAV (saj1919) EMAIL ID : dadajibudhau@gmail.com WEBSITE : http://geekdadaji.com LICENSE : CC BY-NC 4.0 -
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OPTIMA cidoc-crm Semantic Annotation
Semantic annotation of archaeology reports with respect to CIDOC-CRM
The semantic annotation system OPTIMA is the result of Andreas Vlachidis PhD work, (supervised by Prof. Douglas Tudhope, University of Glamorgan, UK). OPTIMA performs the NLP tasks of Named Entity Recognition, Relation Extraction, Negation Detection and Word Sense Disambiguation using hand-crafted rules and SKOS terminological resources (English Heritage Thesauri and Glossaries). The resulted semantic annotations are associated with classes of the (ISO 21127:2006) CIDOC Conceptual Reference Model (CRM) and its archaeological extension, CRM-EH. OPTIMA is also targeted at the detection and recognition of contextual relations between CRM entities. ... -
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TML - Text Mining Library for LSA & CMM
TML is a Java Library for LSA and extracting Concept Maps from text
TML has moved to http://www.villalon.cl/tml.html and the code to https://github.com/villalon/tml -
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WebSynonymExtractor
a synonym extractor based on web-corpora and a multilingual translator
This project is an approach for synonym extraction and extending WordNet by the so found synonyms. The python application is realised as a kind of pipe that starts with a web-corpus-reader which is followed by several workers (tokenizers, lemmatizers, ...) and finally completed by a result writer. In contrast to the state of the art approaches, this implementation is based on single words found in the web used as a corpus and translated to other languages. -
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BioContext
Software for extraction of biomedical information from literature
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This is a Java-based project for complex event extraction from text and co-reference resolution. Currently the code can read BioNLP shared task format (http://2011.bionlp-st.org/) and i2b2 Natural Language Processing for Clinical Data shared task format (https://www.i2b2.org/NLP/DataSets/Main.php). Event extraction includes finding events and the parameters for an event in a text.
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...A plug-in component-based architecture is adapted to the new Java version for flexible use. You can find the work flow for morphological analysis, POS tagging, noun extraction, etc. Contact: kschoi@kaist.ac.kr hjjeong@world.kaist.ac.kr
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This is a fast C implementation of Arturo Camacho's SWIPE' pitch extraction algorithm. See the project homepage for more about the advantages of the SWIPE' algorithm. swipe-1.0.tar.gz contains the current source, which should compile quite neatly.
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Java Suffix array library for phrase discovery. Inspired initially by the classic paper of Yamamoto & Church, with newer ideas from Abouelhoda et al and Kim et al. Adapted for large alphabet so that words can be tokenized as alphabet characters.
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This project extends the ASV Toolbox from the Wortschatz-project at the University of Leipzig. It annotates terms extracted by the "TE" (Terminolgy Extraction) and "Namerec" modules with semantic resources.
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C4 is a C++ class library for analyzing sound files, particularly spoken and sung phonations. C4 provides features such as frequency analysis, pitch extraction, or calculation of voice quality parameters (e.g. alpha ratio, HNR, jitter, etc.).
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cafetiere
Rule-based information extraction.
UIMA-compliant text analytics using a rule language in which to express context-sensitive constraints on syntactic and semantic text elements.
