Strategic Error As Style: Finessing the Grammar Checker
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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. -
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. -
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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. -
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. -
Acer Laptop Blank Screen After Boot Up
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IDZ DO PRZYK£ADOWY ROZDZIA£ SPIS TREFCI Wielka encyklopedia komputerów KATALOG KSI¥¯EK Autor: Alan Freedman KATALOG ONLINE T³umaczenie: Micha³ Dadan, Pawe³ Gonera, Pawe³ Koronkiewicz, Rados³aw Meryk, Piotr Pilch ZAMÓW DRUKOWANY KATALOG ISBN: 83-7361-136-3 Tytu³ orygina³u: ComputerDesktop Encyclopedia Format: B5, stron: 1118 TWÓJ KOSZYK DODAJ DO KOSZYKA Wspó³czesna informatyka to nie tylko komputery i oprogramowanie. To setki technologii, narzêdzi i urz¹dzeñ umo¿liwiaj¹cych wykorzystywanie komputerów CENNIK I INFORMACJE w ró¿nych dziedzinach ¿ycia, jak: poligrafia, projektowanie, tworzenie aplikacji, sieci komputerowe, gry, kinowe efekty specjalne i wiele innych. Rozwój technologii ZAMÓW INFORMACJE komputerowych, trwaj¹cy stosunkowo krótko, wniós³ do naszego ¿ycia wiele nowych O NOWOFCIACH mo¿liwoYci. „Wielka encyklopedia komputerów” to kompletne kompendium wiedzy na temat ZAMÓW CENNIK wspó³czesnej informatyki. Jest lektur¹ obowi¹zkow¹ dla ka¿dego, kto chce rozumieæ dynamiczny rozwój elektroniki i technologii informatycznych. Opisuje wszystkie zagadnienia zwi¹zane ze wspó³czesn¹ informatyk¹; przedstawia zarówno jej historiê, CZYTELNIA jak i trendy rozwoju. Zawiera informacje o firmach, których produkty zrewolucjonizowa³y FRAGMENTY KSI¥¯EK ONLINE wspó³czesny Ywiat, oraz opisy technologii, sprzêtu i oprogramowania. Ka¿dy, niezale¿nie od stopnia zaawansowania swojej wiedzy, znajdzie w niej wyczerpuj¹ce wyjaYnienia interesuj¹cych go terminów z ró¿nych bran¿ dzisiejszej informatyki. • Komunikacja pomiêdzy systemami informatycznymi i sieci komputerowe • Grafika komputerowa i technologie multimedialne • Internet, WWW, poczta elektroniczna, grupy dyskusyjne • Komputery osobiste — PC i Macintosh • Komputery typu mainframe i stacje robocze • Tworzenie oprogramowania i systemów komputerowych • Poligrafia i reklama • Komputerowe wspomaganie projektowania • Wirusy komputerowe Wydawnictwo Helion JeYli szukasz ]ród³a informacji o technologiach informatycznych, chcesz poznaæ ul. -
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 -
House Style Guidelines for Authors and Editors
Bloomsbury Publishing Plc Academic and Professional Division Bloomsbury Academic Bloomsbury Arden Shakespeare Bloomsbury Methuen Drama Bloomsbury T&T Clark Bloomsbury Visual Arts Fairchild Books House Style Guidelines for Authors and Editors Title History Version 0.1 (draft): December 2013 Version 0.2 (revised draft): February 2014 Version 0.3: April 2014 Version 1.0 (FINAL): December 2014 Version 1.1: January 2016 Version 1.2: September 2016 Contents General Guidelines for Authors and Editors HOW TO USE THIS DOCUMENT 1 MANUSCRIPT PREPARATION 1 Headings 1 Images 1 Language 2 Manuscript Structure 2 Non-Western Characters 2 Information for General Editors 3 Style Guidelines for Authors and Editors STYLE FOR COPY 4 Formatting 4 Figures 4 Lists 5 Paragraphs 5 Tables 5 Style for Prelims and Endmatter 6 Title Pages 6 Author Biographies 6 Lists of Abbreviations and Glossaries 6 Spelling and Punctuation 8 Abbreviations and Contractions 8 Capitalization 8 Italics 9 Foreign Languages 10 Numbers 10 Dates and Time 11 Measurements 12 Money 12 Punctuation 13 Quotations 15 NOTES AND REFERENCES 17 Notes 17 Use of ibid., op. cit. and loc. cit. 17 References 18 Author–date System 18 Short-title System 21 Special Reference Types 23 Biblical References 24 Classical Greek and Latin Works 24 English Classic Poems and Plays 25 BLOOMSBURY ACADEMIC STYLE SHEET 26 Appendices APPENDIX A: BIBLICAL ABBREVIATIONS A-3 Ancient Sources A-3 Dead Sea Scrolls A-3 Josephus A-10 Miscellaneous Early Jewish and Christian Literature A-10 Philo A-11 Pseudographica A-12 Biblical -
Using a Grammar Checker for Detection Translated English Sentence
Using a Grammar Checker for Detection Translated English Sentence Nay Yee Lin, Khin Mar Soe, Ni Lar Thein University of Computer Studies, Yangon [email protected], [email protected] Abstract verification of the structure of a sentence and of relations between words (e.g. agreement). Machine Translation Systems expect target Grammar checkers are most often language output to be grammatically correct implemented as a feature of a larger program, within the frame of proper grammatical such as a word processor. Although all major category. In Myanmar-English statistical Open Source word processors offer spell machine translation system, the proposed system checking and grammar checker feature. Such a concerns with the target language model to feature is not available as a separate free program smooth the translated English sentences. Most of either for machine translation. Therefore, our the typical grammar checkers can detect approach is a free program which can be used ungrammatical sentences and seek for what both as a stand-alone grammar checker. error it is. However, they often fail to detect Three methods are widely used for grammar grammar errors for translated English sentence checking in a language; syntax-based checking, such as missing words. Therefore, we intend to statistics-based checking and rule-based develop an ongoing grammar checker for checking. In syntax based grammar checking , English as a second language (ESL). There are each sentence is completely parsed to check the two main tasks in this approach: detecting the grammatical correctness of it. The text is sentence pattern in chunk structure and considered incorrect if the syntactic parsing fails. -
Various Techniques Used for Grammar Checking
www.ijcait.com International Journal of Computer Applications & Information Technology Vol. 9, Issue I (Special Issue on NLP) 2016 (ISSN: 2278-7720) Various Techniques Used For Grammar Checking Blossom Manchanda Vijay Anant Athavale Sanjeev kumar Sharma Assistant Professor Director Assistant professor Department of CSE Gulzar Group of Institutions DAV University GNDEC Ludhiana Khanna Jalandhar ABSTRACT Grammar checker is one of proofing tool used for syntactic analysis of the text. Various techniques are used for development of grammar checker. These techniques includes rule based technique, statistical based technique and syntax based technique. In this research article, all these three techniques have been discussed. Both advantages and disadvantages of these techniques have also been discussed at the end. Keywords Grammar checker, rule based, statistical technique, syntax based technique 1. INTRODUCTION Grammar checker of a language is a system that detects various grammatical errors in a given text based on the grammar of that particular language, and reports those errors to the user along with a list of helpful suggestions to rectify those errors. It is also expected to provide the error details including the error reason to explain that why a particular error is being dubbed a grammatical error. A grammar checker not only detects grammatical errors, but also suggests possible corrections. Grammar checkers are also part of the fundamental tools line word processor needed for NLP in any language. Till date best supported language in NLP is English. A lot of work has gone into developing sophisticated systems that have gone into widespread use, such as automatic translators, grammar checker and spell checkers. -
Manual of Style for International Publishing
Berkshire Manual of Style for InternatIonal PublishIng 宝库山国际出版文体手册 First Edition, 2012 Berkshire Publishing Great Barrington Part 1 > Copyeditor’s Manual snickers elicited from at least a few readers if we had left those phrases stand. (The rest of us, of course, know well that cleavage is a geological term referring most basically to how a rock breaks when you smash it. M-W 11 lists four specific usages before defining the last, and fifth: “the depression between a woman’s breasts.”) We often see non-native English-speaking authors cling to the use of a single mundane (but accurate) word. To add some nuance to a five-line paragraph about agricultural production we replaced six occurrences of the words increased and increase with: rose, advance, grow, output, upsurge, and rise. Sometimes authors use colloquial terms or phrases that don’t translate well (or at all) into English. Please be sure to query the author, being as clear and specific as possible, if you are confused or unable to determine the author’s meaning from the context. Many of our contributors from China write with some ambiguity about time because Chinese does not have true tenses the way the English language does. We ask our Chinese authors to make sure it’s clear whether something has happened in the past, is happening now, or has not yet happened. We ask that you be sensitive to this when editing articles by Chinese authors—and of course all authors, who may get stuck in the present and not write with “persistence” in mind (that is to say, they use words and phrases like recently and several years ago).