Open Source Windows Linguistics Software - Page 5
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Linguistics Software for Windows
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Align parallel data at sentence level and also automatic creation of .tmx files for use with Autshumato ITE
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Multilingual Content Synchronization with Wikis: CoSyne is a Research and Technological Development project co-funded by the European Union. Details: http://cosyne.eu
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Colloquium QDA
A free and open source qualitative ethnographic interview coding tool.
Colloquium QDA is a tool for custom coding and analyzing qualitative ethnographic interviews. To run, make sure you first have JRE 8 or later installed (http://www.oracle.com/technetwork/java/javase/downloads/). Colloquium QDA is an open source cross-platform Java Swing app utilizing an embedded Java DB with Lucene integrated search. -
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CompE Toolkit
Data Type Converter
CompE Toolkit allows the user to seamlessly convert between binary, decimal, hexadecimal, and 32-bit floating point representation. It uses a simple, user-friendly interface designed for maximum efficiency and minimal clutter. -
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Comparing String
Practicing C's built-in string.h functions
This programme simpl takes two string (Like two tweets) and compare them and adds a hashtag to end of them if user desired to. Very simple used built-in C string functions. -
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ConTextKit is a Java-based implementation of Wendy Chapman's ConText algorithm for annotating the context of medical documents, specifically the negation, temporality, and experiencer.
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CoocViewer
Viewer for co-occurrences and positional co-occurrences
A Demo is available at: http://coocviewer.sourceforge.net/coocviewer/index.php -
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CORPSE (CORPus SEarch) is a powerful search engine written in Java. The aim is to provide an efficient implementation of a word level inverted index search with various cool functions that can be used on very large corpora.
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Redundancy due to cut-paste operations in text creates bias in machine learning for NLP. This module takes a directory and produces a subset of the files in that directory (in a list) with an upper bound on similarity between two files.
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Cross-Language Computational Linguistics
cross-languages resources
AFEWC corpus is a multilingual comparable text articles in Arabic, French, and English languages. Each triple article is related to the same topic (aligned at article level). AFEWC corpus is collected from Wikipedia. The corpus is available for free for research purposes only. It is composed of 40K aligned articles, 91.3M English words, 57.8M French words, 22M Arabic words, 2.8M English unique words, 1.9M French unique words, and 1.5M Arabic unique words. Wikipedia text is available under Creative Commons Attribution-ShareAlike 3.0 License. https://en.wikipedia.org/wiki/Wikipedia:About To cite the corpora: M. Saad, D. Langlois, and K. Smaïli. Extracting Comparable Articles from Wikipedia and Measuring their Comparabilities. Procedia - Social and Behavioral Sciences, 95(0):40 – 47, 2013. ISSN 1877-0428. -
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Cunei is a data-driven machine translation system that builds dynamic, statistical models based on instances of known translations found in a corpus.
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DArtikel!
Learn the articles of German words.
Learn words in german that you know at your own pace. With this system you can add the words you knew in a day and then do exercises with them. Written by: Jovanny Pablo Cruz Gómez. Computer Engineering Student. IPN, ESIME Culhuacan, Mexico City. -
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DCTFinder
Extract title and creation time from web page.
Web pages do not offer reliable metadata concerning their creation date and time. However, getting the document creation time is a necessary step for allowing to apply temporal normalization systems to web pages. 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. Reykjavik, Iceland. -
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DawNLITE is a Natural-Language-based Image Transmoding Engine. The software transforms an image to a video as recorded by a virtual camera panning and zooming over the image, following a natural language text description of the image.
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Dendrarium
System do pielęgnacji składnikowych drzew składniowych
Dendrarium służy do wybierania i weryfikacji składnikowych drzew składniowych generowanych przez parser Świgra. System jest użytkowany w Instytucie Podstaw Informatyki PAN do tworzenia banku drzew składniowych dla języka polskiego Składnica. -
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Dex to Wiktionary
Linguistic analysis
Scopul proiectului este conversia definițiilor din DEX '98, luate de pe dexonline.ro, din text simplu în formatul structurat folosite de Wiktionary. Programul convertește definițiile în 3 pași: - descarcă și extrage definițiile de pe dexonline.ro - parsează definițiile și le împarte în părți mai mici care sunt clasificate - asamblează bucățile într-un format arborescent, pe care apoi îl parsează și generează formatul cerut de Wiktionary -
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Dictionary Additions Management System (DAMS), a collection of open source translation dictionaries. These files are compatible with the Open Translation Engine (OTE). For more info, see http://sourceforge.net/projects/ote/
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DisMo
A POS, disfluency and multi-word unit annotator for spoken language
DisMo is a part-of-speech, disfluency and multi-word unit automatic annotator. It is designed to manage the complexities and phenomena specific to spoken language. It currently supports English and French, with support for more languages coming soon. It is developed and maintained by George Christodoulides (Centre Valibel, IL&C, University of Louvain, Louvain-la-Neuve, Belgium). Visit www.corpusannotation.org to find out more about DisMo and other annotation tools for language corpora. If you are using DisMo to annotate your corpus, please cite the following paper: Christodoulides, George; Avanzi, Mathieu; Goldman, Jean-Philippe. DisMo: A Morphosyntactic, Disfluency and Multi-Word Unit Annotator. An Evaluation on a Corpus of French Spontaneous and Read Speech. Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC) 2014, Reykjavik, Iceland, 26-31 May 2014, pp. 3902-3907. -
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Discriminative Language Editor
Discriminative language editor based on ontologies
Text editor in Java that is able to detect discriminative expressions while the user is typing. When the internal ontology-based analyzer detects a potential discriminative expression the user is advised by underscoring the related words in the text. A descriptive message about the issue is also shown to the user when the cursor is placed over the potential discriminative expression. -
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Donatus is an on-going project consisting of Python, NLTK-based tools and grammars for deep parsing and syntactical annotation of Brazilian Portuguese corpora. It includes a user-friendly graphical user interface for building syntactic parsers with the NLTK, providing some additional functionalities.
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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 feature indicates the presence of the drug name in the DrugBank. Using CONLL-Evaluation: processed 32065 tokens with 3656 phrases; found: 3251 phrases; correct: 2786. accuracy: 95.25%; precision: 85.70%; recall: 76.20%; FB1: 80.67 Using GATE Corpus Benchmark: Strict: P: 0.65 R: 0.73 F1: 0.69 Lenient: P: 0.74 R: 0.84 F1: 0.78 The details of how to reproduce evaluation, see README. To use standalone version for tagging download DrugExtractionStandalone.tar.gz from Files. -
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Dualword-PMC
PMC browser
PubMed Central browser. Source code: http://github.com/dualword/dualword-pmc/
