Search Results for "semantic"
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Showing 17 open source projects for "semantic"
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JoBimText
Linking Language to Knowledge with Distributional Semantics
JobimText is a software solution for automatic text expansion using contextualized distributional similarity. It provides text analysis tools for large corpora and has capabilities to create distributional semantic models (JoBimText models) and multi-word expressions. -
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KSUCCA Corpus
A 50 million tokens corpus of Classical Arabic.
...The main aim of this corpus is to be used for studying the distributional lexical semantics of The Quran words. However, it can be used for other research purposes, such as: • Arabic linguistics, which includes: lexical, morphological, syntactic, semantic and pragmatic research. • Arabic computational linguistics, which includes: lexical, morphological, syntactic, semantic and pragmatic research including their various applications. • Arabic language teaching for both Arabs and non Arabs. • Artificial intelligence. • Natural language processing. • Information retrieval. • Question answering... -
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Meaning Explorer
A tool for analyzing the words of the Quran
...In addition, the tool also provides other helpful functionalities that complement the primary purpose, which include a Key Word In Context (KWIC) concordance, in addition to frequency lists of all words, lemmas and roots in the holy Quran. The main intended users of this tool are Arabic Quranic scholars and linguists. The Meaning Explorer applies a new distributional semantic model to extract words’ significant co-occurrences from the Quran. This model is based on the Refined MI association measure applied to all words within a symmetric sliding window of five words surrounding the node word. The Refined MI association measure is chosen because of its remarkable ability ability to extract syntagmatic relations between the words of the Quran. -
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Presage
the intelligent predictive text entry platform
...Presage computes probabilities for words which are most likely to be entered next by merging predictions generated by the different predictive algorithms. Presage's modular and extensible architecture allows its language model to be extended and customized to utilize statistical, syntactic, and semantic predictive algorithms. Presage's predictive capabilities are implemented by predictive plugins. Predictive plugins use services provided by the platform to implement multiple prediction techniques. -
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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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HermeneutiX
Your graphical tool for Syntactic/Semantic Structure Analysis of texts
HermeneutiX is a tool for diagramming syntactic and semantic structures of complex (not necessarily foreign-language) texts (e.g. bible or other historical excerpts). HermeneutiX is now part of SciToS (the scientific tool set). Starting with version 2.0.0, HermeneutiX can be found on GitHub. Please check out the release summary: https://github.com/scientific-tool-set/scitos/releases For an introduction, check out this video: https://youtu.be/uQjewyG0Ad8 PS: To run a Java application such as HermeneutiX (i.e. ... -
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Mechaglot, Calculate Semantic Similarity
Calculate semantic similarity for any human and human-like languages
...The goal of this project is simple: Input two sentences of the same language, and obtain the number (from 0 to 1) denoting the similarity between the inputted sentences, according to semantic categories. This project models my previous project: https://sourceforge.net/projects/semantics/ Difference is, this project does not use any database and computes any Strings as an input. JAVA was the language of choice, due to availability of modelling tools. This work is licensed under the Creative Commons Attribution-ShareAlike 4.0 International License. ... -
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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). -
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Automatic Compound Processing (AuCoPro)
Automatic compound splitting and semantic analysis of compounds
...Specifically, we will explore the possibility to create new knowledge about closely-related languages, and efficiently develop additional, more advanced resources for (a) compound segmentation; and (b) the semantic analysis of compounds; as such, the project will be divided into two interrelated subprojects, to be executed simultaneously. The focus in this project will be on Afrikaans (with Dutch as the closely-related, well-sourced language), which will lay grounds for future work on other closely-related language pairs. -
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WordSegment
wordseg project is a word segment module implemented by C#
wordseg project is a word segment module implemented by C#. It is used to segment text into tokens and to label token's attribute according its context and semantic by front-maximum matching and CRF algorithms. The following are some sentences need to be segmented: 张晓晨和付仲恺一起坐在家（西坝河东里社区）里的沙发上看非诚勿扰。 百度公司的名字源于“众里寻他千百度”这诗句。 After above sentences be segmented by wordseg, the result as follows for each sentence: 张晓晨[PER] 和 付仲恺[PER] 一起 坐 在 家 （ 西坝河东里社区[LOC] ） 里 的 沙发[PDT] 上 看 非 诚 勿扰 。 百度公司[ORG] 的 名字 源于 “ 众 里 寻 他 千百度 ” 这 诗句 。 ... -
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The Simple Semantic Classifier classifies short chunks of natural language text into broad semantic classes that correspond to the OBO ontologies provided as input.
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LexBase is a configurable lexical database manager. It reads lexical and semantic information from WordNet, allows flexible querying of the database, and supports programmatic addition and deletion of terms, word senses, and relations.
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NooJ is used by linguists to describe linguistic phenomena and apply the formalized morphological, syntactic or semantic rules to corpora . It is used by non linguists in fields like psychology, sociology, history, literature studies as well.
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Connecting Historical Authorities with Links, Contexts and Entities. CHALICE is a historic placename gazetteer for the UK, published as Linked Data and linked to other widely-used sources of placename reference information on the semantic web.
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Wikipedia Concept Association Map (WCAM) is new approach for textual knowledge representation and understanding. All concepts and associations are stored in a graph database for better performance and easy distribution.
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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.
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