Creating Dictionaries for Apache Openoffice and Maintaining Them Through Web Services
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Webroot Brightcloud® SDK for C and C++ Sdks Apache License 2.0
Webroot BrightCloud® SDK For C and C++ SDKs Apache License 2.0 • Apache Portable Runtime Utilities (APR-util) Copyright © 2008-2018, The Apache Software Foundation • Apache Portable Runtime Utilities 1.2.12 (APR-util) Copyright © 2008-2018, The Apache Software Foundation • X Delta 3.0.3 Copyright (C) 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015 [email protected] Apache License Version 2.0, January 2004 http://www.apache.org/licenses/ TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION 1. Definitions. “License” shall mean the terms and conditions for use, reproduction, and distribution as defined by Sections 1 through 9 of this document. “Licensor” shall mean the copyright owner or entity authorized by the copyright owner that is granting the License. “Legal Entity” shall mean the union of the acting entity and all other entities that control, are controlled by, or are under common control with that entity. For the purposes of this definition, “control” means (i) the power, direct or indirect, to cause the direction or management of such entity, whether by contract or otherwise, or (ii) ownership of fifty percent (50%) or more of the outstanding shares, or (iii) beneficial ownership of such entity. “You” (or “Your”) shall mean an individual or Legal Entity exercising permissions granted by this License. “Source” form shall mean the preferred form for making modifications, including but not limited to software source code, documentation source, and configuration files. “Object” form shall mean any form resulting from mechanical transformation or translation of a Source form, including but not limited to compiled object code, generated documentation, and conversions to other media types. -
NLP Commercialisation in the Last 25 Years
Natural Language Engineering (2019), 25, pp. 419–426 doi:10.1017/S1351324919000135 Anniversary INDUSTRY WATCH NLP commercialisation in the last 25 years Robert Dale∗ Language Technology Group ∗Corresponding author. Email: [email protected] Abstract The Journal of Natural Language Engineering is now in its 25th year. The editorial preface to the first issue emphasised that the focus of the journal was to be on the practical application of natural language processing (NLP) technologies: the time was ripe for a serious publication that helped encourage research ideas to find their way into real products. The commercialisation of NLP technologies had already started by that point, but things have advanced tremendously over the last quarter-century. So, to celebrate the journal’s anniversary, we look at how commercial NLP products have developed over the last 25 years. 1. Some context For many researchers, work in natural language processing (NLP) has a dual appeal. On the one hand, the computational modelling of language understanding or language production has often been seen as means of exploring theoretical questions in both linguistics and psycholinguistics; the general argument being that, if you can build a computational model of some phenomenon, then you have likely moved some way towards an understanding of that phenomenon. On the other hand, the scope for practical applications of NLP technologies has always been enticing: the idea that we could build truly useful computational artifacts that work with human language goes right back to the origins of the field in the early machine translation experiments of the 1950s. However, it was in the early 1990s that commercial applications of NLP really started to flourish, pushed forward in particular by targeted research in both the USA, much of it funded by the Defense Advanced Research Projects Agency (DARPA) via programs like the Message Understanding Conferences (MUC), and Europe, via a number of large-scale forward-looking EU-funded research programs. -
Protocol About Delivered Software Tools
P170526 Protocol about delivered software tools Assessment of Suitable Flood Mitigation Measures (based on Dukniskhevi River Extreme Flood Analysis) in Tbilisi, Georgia CTCN REFERENCE NUMBER: 2016000043 Document Information Date 30.07.2018 HYDROC project no. P170526 HYDROC responsible Juan Fernandez Client CTC-N/UNIDO Reference No. 2016000043 Project No. Credit No. Contact HYDROC GmbH Siegum 4 24960 Siegum Germany Tel - +49 172 450 91 49 Email - [email protected] Contents 1. Introduction .................................................................................................................................. 1 2. Delivered Software Tools .............................................................................................................. 1 2.1. Apache OpenOffice 4.1.5 ...................................................................................................... 2 2.2. QGIS-OSGeo4W-3.0.2-1-Setup-x86_64.exe .......................................................................... 3 2.3. ArcHydro ............................................................................................................................... 4 2.4. HEC-GeoHMS ........................................................................................................................ 5 2.5. HEC-DSSVue .......................................................................................................................... 6 2.6. HEC-HMS 4.2.1 ..................................................................................................................... -
Intellibot: a Domain-Specific Chatbot for the Insurance Industry
IntelliBot: A Domain-specific Chatbot for the Insurance Industry MOHAMMAD NURUZZAMAN A thesis submitted in fulfilment of the requirements for the degree of Doctor of Philosophy UNSW Canberra at Australia Defence Force Academy (ADFA) School of Business 20 October 2020 ORIGINALITY STATEMENT ‘I hereby declare that this submission is my own work and to the best of my knowledge it contains no materials previously published or written by another person, or substantial proportions of material which have been accepted for the award of any other degree or diploma at UNSW or any other educational institute, except where due acknowledgement is made in the thesis. Any contribution made to the research by others, with whom I have worked at UNSW or elsewhere, is explicitly acknowledged in the thesis. I also declare that the intellectual content of this thesis is the product of my own work, except to the extent that assistance from others in the project’s design and conception or in style, presentation and linguistic expression is acknowledged.’ Signed Date To my beloved parents Acknowledgement Writing a thesis is a great process to review not only my academic work but also the journey I took as a PhD student. I have spent four lovely years at UNSW Canberra in the Australian Defence Force Academy (ADFA). Throughout my journey in graduate school, I have been fortunate to come across so many brilliant researchers and genuine friends. It is the people who I met shaped who I am today. This thesis would not have been possible without them. My gratitude goes out to all of them. -
Unravel Data Systems Version 4.5
UNRAVEL DATA SYSTEMS VERSION 4.5 Component name Component version name License names jQuery 1.8.2 MIT License Apache Tomcat 5.5.23 Apache License 2.0 Tachyon Project POM 0.8.2 Apache License 2.0 Apache Directory LDAP API Model 1.0.0-M20 Apache License 2.0 apache/incubator-heron 0.16.5.1 Apache License 2.0 Maven Plugin API 3.0.4 Apache License 2.0 ApacheDS Authentication Interceptor 2.0.0-M15 Apache License 2.0 Apache Directory LDAP API Extras ACI 1.0.0-M20 Apache License 2.0 Apache HttpComponents Core 4.3.3 Apache License 2.0 Spark Project Tags 2.0.0-preview Apache License 2.0 Curator Testing 3.3.0 Apache License 2.0 Apache HttpComponents Core 4.4.5 Apache License 2.0 Apache Commons Daemon 1.0.15 Apache License 2.0 classworlds 2.4 Apache License 2.0 abego TreeLayout Core 1.0.1 BSD 3-clause "New" or "Revised" License jackson-core 2.8.6 Apache License 2.0 Lucene Join 6.6.1 Apache License 2.0 Apache Commons CLI 1.3-cloudera-pre-r1439998 Apache License 2.0 hive-apache 0.5 Apache License 2.0 scala-parser-combinators 1.0.4 BSD 3-clause "New" or "Revised" License com.springsource.javax.xml.bind 2.1.7 Common Development and Distribution License 1.0 SnakeYAML 1.15 Apache License 2.0 JUnit 4.12 Common Public License 1.0 ApacheDS Protocol Kerberos 2.0.0-M12 Apache License 2.0 Apache Groovy 2.4.6 Apache License 2.0 JGraphT - Core 1.2.0 (GNU Lesser General Public License v2.1 or later AND Eclipse Public License 1.0) chill-java 0.5.0 Apache License 2.0 Apache Commons Logging 1.2 Apache License 2.0 OpenCensus 0.12.3 Apache License 2.0 ApacheDS Protocol -
Return of Organization Exempt from Income
OMB No. 1545-0047 Return of Organization Exempt From Income Tax Form 990 Under section 501(c), 527, or 4947(a)(1) of the Internal Revenue Code (except black lung benefit trust or private foundation) Open to Public Department of the Treasury Internal Revenue Service The organization may have to use a copy of this return to satisfy state reporting requirements. Inspection A For the 2011 calendar year, or tax year beginning 5/1/2011 , and ending 4/30/2012 B Check if applicable: C Name of organization The Apache Software Foundation D Employer identification number Address change Doing Business As 47-0825376 Name change Number and street (or P.O. box if mail is not delivered to street address) Room/suite E Telephone number Initial return 1901 Munsey Drive (909) 374-9776 Terminated City or town, state or country, and ZIP + 4 Amended return Forest Hill MD 21050-2747 G Gross receipts $ 554,439 Application pending F Name and address of principal officer: H(a) Is this a group return for affiliates? Yes X No Jim Jagielski 1901 Munsey Drive, Forest Hill, MD 21050-2747 H(b) Are all affiliates included? Yes No I Tax-exempt status: X 501(c)(3) 501(c) ( ) (insert no.) 4947(a)(1) or 527 If "No," attach a list. (see instructions) J Website: http://www.apache.org/ H(c) Group exemption number K Form of organization: X Corporation Trust Association Other L Year of formation: 1999 M State of legal domicile: MD Part I Summary 1 Briefly describe the organization's mission or most significant activities: to provide open source software to the public that we sponsor free of charge 2 Check this box if the organization discontinued its operations or disposed of more than 25% of its net assets. -
Grammar Checker for Hindi and Other Indian Languages
International Journal of Scientific & Engineering Research Volume 11, Issue 6, June-2020 1783 ISSN 2229-5518 Grammar Checker for Hindi and Other Indian Languages Anjani Kumar Ray, Vijay Kumar Kaul Center for Information and Language Engineering Mahatma Gandhi Antarrashtriya Hindi Vishwavidyalaya, Wardha (India) Abstract: Grammar checking is one of the sentence is grammatically well-formed. In most widely used techniques within absence of the potential syntactic parsing natural language processing (NLP) approach, incorrect or not-so-well applications. Grammar checkers check the grammatically formed sentences are grammatical structure of sentences based analyzed or produced. The preset paper is on morphological and syntactic an exploratory attempt to devise the hybrid processing. These two steps are important models to identify the grammatical parts of any natural language processing relations and connections of the words to systems. Morphological processing is the phrases to sentences to the extent of step where both lexical words (parts-of- discourse. Language Industry demands speech) and non-word tokens (punctuation such economic programmes doing justice marks, made-up words, acronyms, etc.) are and meeting the expectations of language analyzed into IJSERtheir components. In engineering. syntactic processing, linear sequences of words are transformed into structures that Keywords: Grammar Checking, Language show grammatical relationships among the Engineering, Syntax Processing, POS words in the sentence (Rich and Knight Tagging, Chunking, morphological 1991) and between two or more sentences Analysis joined together to make a compound or complex sentence. There are three main Introduction: Grammar Checker is an approaches/models which are widely used NLP application that helps the user to for grammar checking in a language; write correct sentence in the concerned language. -
Apache Harmony Project Tim Ellison Geir Magnusson Jr
The Apache Harmony Project Tim Ellison Geir Magnusson Jr. Apache Harmony Project http://harmony.apache.org TS-7820 2007 JavaOneSM Conference | Session TS-7820 | Goal of This Talk In the next 45 minutes you will... Learn about the motivations, current status, and future plans of the Apache Harmony project 2007 JavaOneSM Conference | Session TS-7820 | 2 Agenda Project History Development Model Modularity VM Interface How Are We Doing? Relevance in the Age of OpenJDK Summary 2007 JavaOneSM Conference | Session TS-7820 | 3 Agenda Project History Development Model Modularity VM Interface How Are We Doing? Relevance in the Age of OpenJDK Summary 2007 JavaOneSM Conference | Session TS-7820 | 4 Apache Harmony In the Beginning May 2005—founded in the Apache Incubator Primary Goals 1. Compatible, independent implementation of Java™ Platform, Standard Edition (Java SE platform) under the Apache License 2. Community-developed, modular architecture allowing sharing and independent innovation 3. Protect IP rights of ecosystem 2007 JavaOneSM Conference | Session TS-7820 | 5 Apache Harmony Early history: 2005 Broad community discussion • Technical issues • Legal and IP issues • Project governance issues Goal: Consolidation and Consensus 2007 JavaOneSM Conference | Session TS-7820 | 6 Early History Early history: 2005/2006 Initial Code Contributions • Three Virtual machines ● JCHEVM, BootVM, DRLVM • Class Libraries ● Core classes, VM interface, test cases ● Security, beans, regex, Swing, AWT ● RMI and math 2007 JavaOneSM Conference | Session TS-7820 | -
Webroot Secureanywhere® Mobile for Android Apache License 2.0
Webroot SecureAnywhere® Mobile for Android Apache License 2.0 Android - platform - dalvik 2.2_r1 Copyright © 2008 The Android Open Source Project Android - platform - frameworks - base 5.1.0_r1 Copyright © 2008 The Android Open Source Project Android - platform - packages - apps - Browser 5.1.0_r1 Copyright © 2008 The Android Open Source Project Android - platform - packages - apps - Settings 5.1.0_r1 Copyright © 2008 The Android Open Source Project Android Developer Tools (ADT) Bundle 135.1641136 Copyright © 2008 The Android Open Source Project Android Donations Lib Copyright © 2011-2015 Dominik Schürmann <[email protected]> Android SDK Support Libraries 19.0.1 Copyright © 2008 The Android Open Source Project Android Studio 0.5.2 Copyright © 2008 The Android Open Source Project android-lockpattern Copyright 2012 Hai Bison android-log-collector Copyright © 2012 The Android Open Source Project. Copyright © 2009, 2012 Xtralogic, Inc. Google's Base64.java 1.3 Copyright © 2006 Google Inc. Portions copyright © 2002, Google, Inc. Gson 2.3 Copyright © 2008 Google Inc. libphonenumber 7.0.5 Copyright © 2011 The Libphonenumber Authors phonelicenses-android-client Copyright © 2010 http://droidprofessor.com <[email protected]> Google Android Platform SDK 2.1_r1 Copyright © 2008 The Android Open Source Project Google Android Platform SDK 2.2_r02 Copyright © 2008 The Android Open Source Project Google Android Platform SDK r11 Copyright © 2008 The Android Open Source Project Google Android Platform SDK 24.3.4 Copyright © 2008 The Android Open Source Project Apache License 2.0 Apache License Version 2.0, January 2004 http://www.apache.org/licenses/ TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION 1. Definitions. "License" shall mean the terms and conditions for use, reproduction, and distribution as defined by Sections 1 through 9 of this document. -
Open Source Claire Le Goues
Foundations of Software Engineering Lecture 24: Open Source Claire Le Goues 1 Learning goals • Understand the terminology “free software” and explain open source culture and principles. • Express an educated opinion on the philosophical/political debate between open source and proprietary principles. • Reason about the tradeoffs of the open source model on issues like quality and risk, both in general and in a proprietary context. 2 Motivation to understand open source. • Companies work on open source projects. • Companies use open source projects. • Companies are based around open source projects. • Principles percolate throughout industry. • Political/philosophical debate, and being informed is healthy. 3 Quick and easy definitions • Proprietary software – software which doesn’t meet the requirements of free software or open source software • Free software – software with a strong emphasis on user rights • Open source software – software where the source code is shared with the community • Does Free Software = Open Source? 4 “Free as in free speech.” 5 6 Stallman vs. Gates 7 Free Software vs Open Source • Free software origins (70-80s ~Stallman) – Political goal – Software part of free speech • free exchange, free modification • proprietary software is unethical • security, trust – GNU project, Linux, GPL license • Open source (1998 ~ O'Reilly) – Rebranding without political legacy – Emphasis on internet and large dev./user involvement – Openness toward proprietary software/coexist – (Think: Netscape becoming Mozilla) 8 The Cathedral and the Bazaar 9 The Cathedral and the Bazaar • Cathedral (closed source) – Top-down design with focus on planning • Bazaar (open source) – Organic bottom-up movement – Code always public over internet – Linux/Fetchmail stories 10 Eric Raymond. -
Chatbot in English Classrooms Encourage Negotiations of Meaning
Chatbot in English Classrooms Encourage Negotiations of Meaning Bachelor’s Thesis of Kelvin Louis, 8th Semester [email protected] Nicola Cocquio, 8th Semester [email protected] University of Applied Sciences and Arts Northwestern Switzerland (FHNW) School of Engineering Computer Science Supervisors Manfred Vogel [email protected] Ivo Nussbaumer [email protected] Brugg-Windisch, 19.03.2019 Abstract Chatbots have become more prevalent in recent years, due to increasing demand as well as improvements in the fields of natural language processing (NLP) and machine learning. Within the field of education research, past studies have rightfully questioned the usefulness of chatbots as means of acquiring a foreign language. A review of the relevant literature shows that the applied chatbots were rule-based and limited to chitchatting in an open-domain. In this thesis we propose an alternate approach to using chatbots in English as a second language (ESL) classrooms. We evaluated the current state of technology to develop a machine learning-based chatbot capable of detecting errors in the students’ language. The chatbot’s domain is confined to interacting with the students in a room reservation roleplay exercise. Prerecorded transcripts of ESL student interactions were used to derive wordings of intents and utterances which served to train and test the chatbot’s machine learning models. Since misspellings are the most common errors in ESL students’ language, a language error detection was introduced into the chatbot’s architecture, providing additional feedback to the students and thereby mitigating repetitive errors. To test the performance of our solution, usability tests and a survey were conducted. -
Basic Version of Multilingual Semantic Text Analysis
V4Design Visual and textual content re-purposing FOR(4) architecture, Design and virtual reality games H2020-779962 D3.3 Basic version of multilingual semantic text analysis Dissemination level: Public Contractual date of delivery: Month 18, 30 June 2019 Actual date of delivery: Month 18, 30 June 2019 Workpackage: WP3 Visual and Textual content analysis Task: T3.2 Entity identification and linking, word sense disambiguation and lexical modelling T3.3 Dependency-based semantic parsing T3.4 Conceptual relation extraction Type: Report Approval Status: Approved Version: 1.2 Number of pages: 64 Filename: D3.3_V4Design_BasicAnalysisTechniques_v1.2.pdf Abstract In this deliverable, we report the advances on the Language Analysis components achieved during the first half of the V4Design project. The components include in particular a multilingual candidate concept detection tool, multilingual dependency parsers, semantic analysers, lexical resources, and a projection of the extracted dependency-based linguistic representations into ontological ones. The information in this document reflects only the author’s views and the European Community is not liable for any use that may be made of the information contained therein. The information in this document is provided as is and no guarantee or warranty is given that the information is fit for any particular purpose. The user thereof uses the information at its sole risk and liability. Page 1 co-funded by the European Union Page 2 D3.3 – V1.2 History Version Date Reason Revised by 0.1 05/04/2019 Creation