Notes:
Grammar checkers are software tools that are used to identify and correct grammatical errors in natural language text. Grammar checkers typically work by analyzing the input text and using a set of predefined rules and algorithms to identify and suggest corrections for common grammatical errors, such as subject-verb agreement, punctuation errors, and word choice. Grammar checkers are often used as a proofreading tool to help users improve the quality and clarity of their written communication.
In the context of dialog systems, grammar checkers could be used to improve the accuracy and fluency of the generated text. Dialog systems often generate large amounts of text, and may make grammatical errors or use language in an unnatural or awkward way. By using grammar checkers, dialog systems can ensure that the generated text is grammatically correct and sounds natural and fluent. This can help to improve the overall quality and effectiveness of the dialog system, and can make the interactions between users and the system more natural and engaging.
Wikipedia:
See also:
Arboretum: Using a precision grammar for grammar checking in CALL EM Bender, D Flickinger, S Oepen… – InSTIL/ICALL …, 2004 – isca-speech.org … 1We believe there are other possible applications of this strategy, as in dialogue systems where the computer’s turns can be made to sound more natural by matching as closely as possible the user’s … Creating a grammar checker for call by constraint relaxation: a feasibility study … Cited by 54 Related articles All 13 versions
CSIEC: A computer assisted English learning chatbot based on textual knowledge and reasoning J Jia – Knowledge-Based Systems, 2009 – Elsevier … So it is not only an intelligent web-based human–computer dialogue system with a natural language for English instruction, but … parser resolves the user request from HTTP connection and gets some parameter values: input text, spelling and grammar checker, agent character … Cited by 19 Related articles All 3 versions
Technologies in use for second language learning M Levy – The Modern Language Journal, 2009 – Wiley Online Library … products for teaching and learning writing, such as the problem of a language learner taking advice from a grammar checker designed for … More recent examples include a dialogue system called Let’s Chat for social conversations that employs recognition and text-to-speech … Cited by 136 Related articles All 10 versions
TechWriter: an evolving system for writing assistance for advanced learners of English D Napolitano, A Stent – Calico Journal, 2009 – journals.sfu.ca … Sam and Sally even run the paper through the grammar checker in their text editor, but this not only fails to find many of the errors, it suggests “corrections” that introduce more errors. … An English grammar checker as a writing aid for students of English as a second language. … Cited by 18 Related articles All 11 versions
The Ontology-based Architecture of LT World, a Comprehensive Web Information System for a Science and Technology Discipline B Jörg, H Uszkoreit – Leitbild Informationskompetenz: Positionen- …, 2005 – researchgate.net … Top level type of the LT classification: – Application (eg Grammar Checking, Text Translation, Speech Dialogue Systems, …) Linguality (monolingual, bilingual, multilingual, translingual … Ap- plications can be monolingual such as a grammar checker designed just for Finnish. … Cited by 12 Related articles All 2 versions
AI in CALL–Artificially Inflated or Almost Imminent? M Schulze – Calico Journal, 2008 – journals.sfu.ca … For example, the Textana system—a grammar checker for students of German—explored the use of relaxed constraints for feedback generation … Nontutorial interactions fall into two broad categories: dialogue systems in which the comput- er ‘plays the role’ of the conversation … Cited by 13 Related articles All 13 versions
Integrating NLP Tools for Basque in Text Editors O Ansa, X Arregi, B Arrieta, N Ezeiza… – … on International Proofing …, 2004 – eleka.net … general applications (semantically tagged corpus after word senses have been disambiguated, information retrieval and extraction, translation aids, dialogue systems…). … The third section is focused on the grammar checker/corrector, called Xuxeng, we are working on at the … Cited by 5 Related articles
Using a Probabilistic Model of Context to Detect Word Obfuscation. S Jabbari, B Allison, L Guthrie – LREC, 2008 – repository.dlsi.ua.es … and grammar) checker could select correctly spelled but incor- rect words by the degree to which they fit in their surround- ing context. A summariser could keep its context as close as possible to the one induced by the original text. In lan- guage generation for dialog systems, in … Cited by 7 Related articles All 6 versions
Using corpora in machine-learning chatbot systems BA Shawar, ES Atwell – International journal of corpus …, 2005 – ingentaconnect.com … in a corpus into grammatical classes (Atwell & Drakos 1987; Hughes & Atwell 1994); machine-learnt grammar checkers (Atwell 1983 … Since that time, several other chatbots or human-computer dialogue systems have been developed using text communication such as … Cited by 17 Related articles All 2 versions
Research on Bangla language processing in Bangladesh: progress and challenges MS Islam – 8th ILDC, Dhaka, Bangladesh (June 2009), 2009 – teacher.buet.ac.bd … which is very essential to develop software framework for application level support like spell checker, OCR, TTS, grammar checker, MT etc … iii) Developing a local language dialect database and customized dialog system for easy access for all people to the necessary information … Cited by 9 Related articles
Role of human teacher in web-based intelligent tutoring systems D Kinshuk, A Patel… – Journal of Open, …, 2012 – journals.akoaotearoa.ac.nz … Dybkjaer, Bernsen, Dybkjaer, and Papazachariou (1995) reviewed a spoken language dialogue system that uses context to provide system- directed … word processors have improved in terms of functionality through inclusion of a spell checker, a grammar checker, ready made … Cited by 5 Related articles
An AI framework to teach English as a foreign language: CSIEC J Jia – AI Magazine, 2009 – aaai.org … After a brief explanation of the conception of the dialogue system, as well as a survey of related works, I will illustrate the … from the HTTP connection and obtains parameter values: input text, scenario topic, agent character, speech speed, spelling and grammar checker, and so on … Cited by 4 Related articles All 5 versions
The further development of CSIEC project driven by application and evaluation in English education J Jia, W Chen – British Journal of Educational Technology, 2009 – Wiley Online Library … Nevertheless, no statistical data demonstrated the usefulness of the supposed dialogue systems. … resolves the user request from the http connection and gets some parameter values: input text, scenario topic, agent character, speech speed, spelling and grammar checker, etc. … Cited by 7 Related articles All 7 versions
Language technology is an effective tool to promote use of basque I Aldezabal, I Alegria, J Arriola, AD de Ilarraza… – 2008 – ehu.es … treebank, grammar checker, lexical-semantic knowledge base, word-sense disambiguation, and language learning systems). Page 2. • Fifth phase: Multilinguality and general applications (information retrieval, information extraction, translation aids, and dialogue systems). Cited by 2 Related articles
Strategies for the generation of individualised feedback in distance language learning M Quixal, T Badia, B Boullosa, L Díaz… – … Dialogue Systems of …, 2006 – martiquixal.org … Content checking for tasks with a focus on meaning, corrected on the basis of a template driven approach • Communicative tasks, corrected on the basis of a combination of processing results provided by four different NLP tools: a spell checker, a grammar checker, a content … Cited by 4 Related articles All 3 versions
Motivate the Learners to Practice English through Playing with Chatbot CSIEC J Jia, W Chen – Technologies for E-Learning and Digital Entertainment, 2008 – Springer … Seneff [7] described several multilingual dialogue systems designed to address the need for language learning and teaching. … from http connection and gets some parameter values: input text, scenario topic, agent character, speech speed, spelling and grammar checker, etc. … Cited by 2 Related articles All 4 versions
Constraint Grammar based Correction of Grammatical Errors for North Sámi L Wiechetek – Proceedings of the Workshop on Language …, 2012 – biblio.ugent.be … 2009. Constraint grammar in dialogue systems. In NEALT Pro- ceedings Series 2009, volume Volume 8, pages 13–21. A. Arppe. 2000. Developing a grammar checker for swedish. In Proceedings from the 12th Nordiske datal- ingvistikkdager, Trondheim. ES Atwell. 1987. … Cited by 1 Related articles All 7 versions
The design of a corpus of contemporary Arabic L Al-Sulaiti, ES Atwell – International Journal of Corpus …, 2006 – ingentaconnect.com … English language corpora have been used in development of English language teaching materials, as well as language processing systems such as speech recognisers, spelling and grammar checkers, dialogue systems etc. (Atwell 1999). … Cited by 69 Related articles All 14 versions
Providing Language Instructor with Artificial Intelligence Assistant K Pietroszek – International Journal of Emerging Technologies in …, 2007 – editlib.org … Even worse, it repeated the wrong sentence in the response. We realize that it is a strong limitation. However, even state-of-the-art grammar checkers, such as the one used in Microsoft Word, have difficulties to catch that kind of grammar mistakes. … Cited by 1 Related articles All 7 versions
Research Proposal: Automatic Grammar Induction and Semantic Discovery P WASTHOLM – stp.lingfil.uu.se … applications in the study of lan- guage similarity, language acquisition, and nu- merous other fields within linguistics and lan- guage technology; the latter can improve infor- mation retrieval, information extraction, dialog systems, and automatic spelling and grammar checkers. … Related articles
Transaction Dialogs Based on Short Messages Understanding S Ye, D Liao, Y Zhou – Knowledge Acquisition and Modeling ( …, 2011 – ieeexplore.ieee.org … Therefore, the semantic theory underlying sophisticated dialogue systems must be in a position to compute and represent such cross references … find a complete and correct parsing [8]. SMartS has four parser components: 1) SM parser and extra grammar checker corrects errors … Related articles All 3 versions
An Algorithm for Resolution of Time Expressions in Estonian Natural Language Dialogue Systems M Treumuth – lepo.it.da.ut.ee … specific module, and was made available as a web-service, that can be plugged into dialogue systems with some minor … hyphenator (Kaalep, 1997) • Shallow syntactic analyzer => experimen- tal versions: noun phrase extractor, text summarizer, grammar checker (Müürisep, et … Related articles All 3 versions
NLPLAB> Publications L Ahrenberg – 2013 – ida.liu.se … Using a Grammar Checker for Evaluation and Postprocessing of Statistical Machine Translation. 2010. Fagerlund, Martin (et al.). Computing Word … LinTest, A development tool for testing dialogue systems. 2006. Stymne, Sara ; Ahrenberg, Lars. A Bilingual Grammar for Translation … All 2 versions
Introducing Language Technology & Computational Linguistics in Bangladesh MM Rashel – International Journal of English Linguistics, 2011 – ccsenet.org … Text Retrieval, Information Extraction, Data Fusion and Text Data Mining, Question Answering, Report Generation, Spoken Dialogue Systems and Translation … An accurate grammar checker requires a sophisticated ability to identify parts of speech and a comprehensive list of … Related articles
Computer Assisted Language Learning MG Kosta – 2011 – works.bepress.com … Dialogue systems allow the student to interview characters and perform goal-oriented tasks, thus practicing both speaking and listening skills (Gamper & Knapp, 2002). … In CALL systems, grammar checkers can be used to help students learn syntactic structure. … Related articles
Human Language Technologies And Affan Oromo T Girma, SM Landage, AI Wasif, P Dhuppe, M Kumar – garph.co.uk … categorization, text summarization, text indexing, information extraction, data fusion and text data mining, question and answering, report generation, spoken dialogue systems, Translation technologies, spelling and grammar checkers, information retrieval and filtering, … Related articles All 4 versions
Intelligent CALL M Schulze, T Heift – Contemporary Computer-Assisted Language …, 2012 – books.google.com … The dialog system FLUENT I (Hamburger & Hashim, 1992) asks students to move objects in a bathroom per request. … For instance, Knutsson, Cerrato Pargman and Severinson Eklundh (2003) adapted andtested Granska, a grammar checker for learners of Swedish as a foreign … Related articles All 2 versions
A Survey of Intelligent Language Tutoring Systems MA Emran, K Shaalan – Advances in Computing, …, 2014 – ieeexplore.ieee.org … 6. Beetle II System Beetle II system is a tutorial dialogue system that has been implemented to accept input from the learner without restrictions and to … In [33], the first Arabic grammar checker, called Arabic GramCheck, was proposed that its performance outperforms the Arabic …
Intelligent Sentence Writing Tutor: A System Development Cycle M Dodigovic – International Journal of Artificial Intelligence in …, 2013 – IOS Press … In this context, an interactive on-line writing aid, which would respond to the most common learner errors, in a timely fashion, makes a lot of sense. At first sight, it may seem that grammar checkers, widely available through word-processing software, are the answer. … Related articles All 2 versions
An Overview of Language Processing PM Nugues – An Introduction to Language Processing with Perl and …, 2006 – Springer … 1994, Rayner et al. 2000). • Conversational agents. Conversational agents are elaborate dialogue systems that have understanding faculties. … 1996, Godéreaux et al. 1998). Some of these applications are widespread, like spelling and grammar checkers. … Related articles
Literary Quest MSKS Babu – literaryquest.org … Automatic speech recognition (ASR) has allowed for a few limited spoken dialogue systems and some commercial programs such as Auralog’s Tell Me More allow learners to … programs do foster grammar awareness. Grammar checkers have been explored …
A General Introduction to Computer Assisted Language Learning Philip Hubbard, Stanford University IP Hubbard – hstrik.ruhosting.nl … Automatic speech recognition (ASR) has allowed for a few limited spoken dialogue systems (such as Subarashii for beginning Japanese (Bernstein, Najmi & … Spell checkers and to a lesser extent grammar checkers were brought in as they matured to aid in the development of … Related articles
Improving feedback on L2 misspellings–an FST approach L Antonsen – divvun.no … There is a work in progress on building a grammar checker for North Saami that also considers real word errors, with L1 users as the target group (Wiechetek, 2012). … Lene Antonsen, Saara Huhmarniemi and Trond Trosterud. 2009a. Constraint Grammar in Dialogue Systems. … Related articles All 13 versions
An Anatomy for Artificial Conversation Generation in the Customer Service Domain – ceur-ws.org … A standard spellchecker and grammar checker au- tocorrects the spelling and grammatical errors in the sen- tence if any 2. The correct sentence, free of spelling and grammatical er- ror, is sent to the Stemmer. … The att-darpa communicator mixed-initiative spoken dialog system. … Related articles
Annotating Corpora for Linguistics E Bick – ufal.mff.cuni.cz … focus on selection: eg valency instantiation ? focus on mapping: eg grammar checkers, dependency relations … semantic role tags can help identify linguistically encoded information for applications like dialogue system, IR, IE and MT ? Less consensus on categories … Related articles All 4 versions
Detection and correction of non-words in arabic: A hybrid approach B Haddad, M Yaseen – … Journal of Computer Processing of Oriental …, 2007 – World Scientific … The spectrum of their ap- plications spread over most computer applications such as text and code editing, machine translation, language learning, computer-aided tutoring, dialog systems in database and intelligent systems, word processing and documentation systems … Cited by 13 Related articles All 6 versions
Linguistics meets exact sciences J Hajic – A companion to digital humanities, 2008 – books.google.com … Finally, dialogue systems (for man–machine communication) and multi-modal systems (combining language, gestures, images, etc.) complete the spectrum. … processing technology are much more rare, if we do not count the ubiquitous spelling and grammar checkers in word … Cited by 5 Related articles All 2 versions
Accuracy and suitability: New challenges for evaluation M King – Language resources and evaluation, 2005 – Springer … Early exercises in executing this idea investigated the evaluation of grammar checkers and translation memory systems within EAGLES … evaluations of spelling checkers (Paggio and Underwood, 1998; Starlander and Popescu-Belis, 2002), of dialogue systems (Blasband, 1999 … Cited by 5 Related articles All 7 versions
Survey on Swedish language resources K Elenius, E Forsbom, B Megyesi – Speech, Music and Hearing, …, 2008 – stp.lingfil.uu.se … 18 31,6% Search and knowledge mining 17 29,8% Language learning 12 21,1% Speech technologies 10 17,5% Other, please specify: 11 19,3% Others specified were: – dialog systems – multimodal systems – translation Page 15. Elenius, Forsbom and Megyesi 7 … Cited by 5 Related articles All 9 versions
Syntactic analysis of natural languages based on context-free grammar backbone V Kadlec – MIS 2004, 2007 – is.muni.cz … Any machine translation application, an automatic grammar checker or information retrieval system must be capable of understanding the structure of a sentence. … If no complete parse is found for an input (eg from a speech recognizer in a dialogue system) a special technique is … Cited by 13 Related articles All 8 versions
The Structure of Intelligent Tutoring Systems: Step Analysis K VanLehn – christopia.net … detects run-on sentences and it would work for an essay on any topic. Many word processors have grammar checkers built into them, so it might be possible to repurpose their expertise for tutoring. It would not make sense to use an expert model for analyzing the form of essay. … Related articles
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Strengthening the Estonian Language Technology. E Meister, J Vilo – LREC, 2008 – researchgate.net … Lexico-semantic database recognition engine Grammar checker Thoroughly transcribed general Prototype of automatic corpus of Spoken e-mail reading … dialogue system Dialog corpus (0.5 million words) General corpus of spoken Estonian (1 million words) 2005 2005 … Cited by 3 Related articles All 7 versions
Context-Aware Multimodal Human–Computer Interaction S Fitrianie, Z Yang, D Datcu, AG Chi?u… – Interactive Collaborative …, 2010 – Springer … It combines tapping-based and motion-based text input with language-based acceleration techniques, including personalized and adaptive task-based dictionary, frequent character prompting, word completion, and grammar checker with suffix completion. … Related articles All 2 versions
Towards an Ontology-based Language Infrastructure Y Hayashi, P Buitelaar, T Declerck – 2007 – langrid.org … Page 6. 6 Systems, …) Linguality (monolingual, bilingual, multilingual, translingual, … The attribute Linguality describes the dependency of an application on a specific set of languages. Applications can be monolingual such as a grammar checker designed just for Finnish. … Related articles All 3 versions
Toward intention-aware services provision CHL Lee – TENCON 2007-2007 IEEE Region 10 Conference, 2007 – ieeexplore.ieee.org … translating parsed results into SQL, predicate calculus, or equivalent semantic networks, applying spelling and grammar checker to facilitate … useful linkage to the large body of literatures in conversational dialogue systems, multimodal interfaces, and other recognition-based … Cited by 1 Related articles All 2 versions
Natural language processing at the school of information studies for Africa B Gambäck, G Eriksson, A Fourla – … of the Second ACL Workshop on …, 2005 – dl.acm.org … develop a wide range of applications in vernacular languages, such as translation systems, spelling and grammar checkers, speech synthesis … Some problems in current spo- ken dialogue systems were discussed, while text-to- speech synthesis and multimodal synthesis were … Cited by 2 Related articles All 15 versions
[BOOK] An introduction to language processing with perl and prolog PM Nugues – 2006 – Springer … 411 15.3 Simple Dialogue Systems . . . . . 412 15.3.1 Dialogue Systems Based on Automata . . . . . 412 15.3.2 Dialogue Modeling . . . . . … Cited by 75 Related articles All 15 versions
Joint optimization of word alignment and epenthesis generation for Chinese to Taiwanese sign synthesis YH Chiu, CH Wu, HY Su… – Pattern Analysis and …, 2007 – ieeexplore.ieee.org … grammar and production [3]. The current state of the technologies utilized to provide deaf and hearing individuals with access to information and communication with each other is inadequate [4], [5]. The support provided by most computerized grammar checkers and language … Cited by 40 Related articles All 13 versions
Formal Description of Arabic Syntactic Structure in the Framework of the Government and Binding Theory H Bassam, M Asma, O Nadim… – Computación y …, 2014 – polibits.cidetec.ipn.mx Page 1. Formal Description of Arabic Syntactic Structure in the Framework of the Government and Binding Theory Hammo Bassam1, Moubaiddin Asma2, Obeid Nadim1, and Tuffaha Abeer1 1 KASIT, CIS Department, 2 Department …
Estonian language technology Anno 2009 E Meister, T Roosmaa, J Vilo – 2009 – dspace.utlib.ee … Lexico-semantic database recognition engine Grammar checker Thoroughly transcribed general Prototype of automatic e- mail reading … dialogue system Dialog corpus (0.5 million words) General corpus of spoken Estonian (1 million words) 2005 2005 … Cited by 3 Related articles All 3 versions
[BOOK] Errors and intelligence in computer-assisted language learning: Parsers and pedagogues T Heift, M Schulze – 2007 – books.google.com … rs and intelligence in computer-assisted language learning ing techniques and programming, and natural languages, and to 2 development of the field. ‘art 3: Error Analysis and Description egins with an overview ofthe inherent challenges of designing spell grammar checkers. … Cited by 115 Related articles All 3 versions
Learner Corpora and Natural Language Processing D Meurers – Submitted to The Cambridge Handbook of Learner …, 2013 – purl.org … by the CLEC learner sentence (5). (5) At class, students listen more carefuladj then any other time. Error pattern matching is commonly used in standard grammar checkers. For example, the open source LanguageTool (Naber … Cited by 1 Related articles All 2 versions
Human Factors Required for Building NLP Systems D Daoud, SA El-Seoud – Technology for Facilitating Humanity …, 2011 – books.google.com … et al. 1987; Van Dyke 1991; Van Dyke, McCoy et al. 1992). To some extent, many grammar checkers available today and systems aimed toward language tutoring (eg Newell, Arnott et al. 1992; Wright, Beattie et al. 1992; Suri … All 3 versions
Integrating natural language processing into e-learning: a case of Czech P Smrž – Proceedings of the Workshop on eLearning for …, 2004 – dl.acm.org … research di- rected to the complex integration of e-learning systems with the relevant IT such as assistive technologies (dialogue systems, speech recog … source is used to develop the Czech grammar checker (Smrz and Horak, 1999) which will be the first one based on the large … Cited by 9 Related articles All 10 versions
Corpus Linguistics and Language Learning ES Atwell – 2008 – civilengineering4life.com … errors. Parsers were so “brittle” that they could not parse many sentences in ordinary English text, so a “grammar-checker” based on a parser would simply have rejected Page 13. – 6 – … best practice in spoken dialogue systems engineering introduced the concept of … Related articles All 4 versions
Corpus linguistics and language learning: bootstrapping linguistic knowledge and resources from text ES Atwell – 2008 – etheses.whiterose.ac.uk … errors. Parsers were so “brittle” that they could not parse many sentences in ordinary English text, so a “grammar-checker” based on a parser would simply have rejected Page 13. – 6 – … best practice in spoken dialogue systems engineering introduced the concept of …
Multi-robot learning using non-deterministic argument games GS Mahalakshmi, TV Geetha – International Journal of Autonomous …, 2010 – Inderscience … spell checker and grammar checker and a Tamil text-to-speech system. … Protocols or dialogue systems, for argumentation, persuasion or debate have been discussed extensively (Hamblin, 1970; Mackenzie, 1979; Walton and Krabbe, 1995; Parsons and Hunter, 1998; Prakken … Related articles All 3 versions
AutoLearn’s authoring tool: a piece of cake for teachers M Quixal, S Preuß, D García-Narbona… – Proceedings of the …, 2010 – dl.acm.org … Feedback is provided to learners in two steps, which is reflected in Figure 4 by the two parts, the upper and lower part, called General Checking and Exercise Specific Checking respectively. The for- mer consists in the application of standard spell and grammar checkers. … Cited by 1 Related articles All 8 versions
[BOOK] The Lexicon Graph Model: A generic model for multimodal lexicon development T Trippel – 2006 – books.google.com Page 1. SPRACHWISSENSCHAFT–COMPUTERLINGUISTIK LINGUISTICS– COMPUTATIONAL LINGUISTICS Band 18 /Volume 18 Thorsten Trippel The Lexicon Graph Model A generic model for multimodal lexicon development AQ–VERLAG Page 2. … Cited by 11 Related articles All 5 versions
Design And Development Of A Named Entity Based Question Answering System For Malayalam Language M Bindu – 2012 – dyuthi.cusat.ac.in … Since its inception in 1960 several key developments had happened. The notable developments are Natural Language Database Front Ends, Dialog systems, and Natural Language Understanding systems. To have accurate and effective communication, computer must …
A Statistical Model of Error Correction for Computer Assisted Language Learning Systems H Basiron – 2012 – otago.ourarchive.ac.nz Page 1. A Statistical Model of Error Correction for Computer Assisted Language Learning Systems Halizah Basiron a thesis submitted for the degree of Doctor of Philosophy at the University of Otago, Dunedin, New Zealand. May 24, 2012 Page 2. Abstract … Related articles All 2 versions
Computers and their suitability for second and foreign language error correction KA Livingstone – Baraton Interdisciplinary Research Journal ( …, 2011 – works.bepress.com … the parser. The uses of parsers are varied, including CALL applications, grammar and articles of other writers, translation software, dialogue systems, document retrieval and automatic extracting of main ideas. Even though the most sophisticated … Cited by 1 Related articles All 2 versions
Automated grammatical error detection for language learners C Leacock, M Chodorow, M Gamon… – Synthesis lectures on …, 2010 – morganclaypool.com … Spoken Dialogue Systems Kristiina Jokinen and Michael McTear 2009 … Another case of a spelling error that is typically covered by grammar checkers is that of confusable word sets, homo- phones or near-homophones that learners and natives alike tend to confuse. … Cited by 96 Related articles All 5 versions
Language Processing with Perl and Prolog P Nugues – Cognitive Technologies, 2014 – Springer Page 1. Cognitive Technologies Pierre M. Nugues Language Processing with Perl and Prolog Theories, Implementation, and Application Second Edition Page 2. Cognitive Technologies Managing Editors: DM Gabbay J. Siekmann …
Computer support for learners of spoken English R Hincks – 2005 – diva-portal.org … Feedback on the linguistic correctness of these texts is provided, with increasing reliability, by spellcheckers and grammar checkers. … Likewise, both native and second-language students can turn to grammar checkers and spellcheckers to receive support in their … Cited by 27 Related articles All 6 versions
Evaluating Natural Language Access to Relational Databases M Forsmark – 2005 – cs.umu.se … conversation with your computer. Many believe that this kind of interface is not so far into the future since there are inventions like quite capable grammar checkers, voice recognition programs and language translation tools. This is a … Related articles All 3 versions
Verification Of A Rich Arabic Speech Database MM Alsulaiman, G Muhammad, MA Bencherif… – speech-group.com … recognizers, spelling and grammar checkers, dialogue systems etc [4]. In comparison with English, Arabic is also an international language, and if there is evaluation between the number of English native speakers and Arabic native speakers the difference ends up with a very … Related articles
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COURSEWORK 2: Implementation of IntelliMedia Interface By Group 11 P Donaghy, R McEleney, C Mc Fadden – paulmckevitt.com … spell-checkers, dictionaries, , synthetic telephone voice messages, voice stress analyzers, ticket reservation systems by telephone, dictation systems, grammar checkers, language … capable of human like thought. It aimed to answer the question, Can a dialogue system, …
A Complete Bibliography of ACM Transactions on Asian Language Information Processing NHF Beebe – 2014 – netlib.org … Improving partial parsing based on error-pattern analysis for a Korean grammar-checker. ACM Transactions on Asian Language Information Processing, 2(4):301– 323, December 2003. CODEN ???? … Resolution of referring expressions in a Korean multimodal dialogue system. … Related articles All 7 versions
A case study of using synchronous computer-mediated communication system for spoken English teaching and learning based on sociocultural theory and … CY Lee – 2009 – etd.ohiolink.edu … second language research on interaction (Darhower, 2002; Heins et al., 2007), social presence (Yamada & Akahori, 2007), task design (Rosell-Aguilar, 2005), and the prototype of a computer dialogue system (Chiu, Liou, & Yeh, 2005; Stewart & File, 2007). … Cited by 8 Related articles All 4 versions
Semantic Analysis Of Multi Meaning Words Using Machine Learning And Knowledge Representation M Alirezaie – 2011 – diva-portal.org … This is required in various applications, such as spell and grammar checkers, text summarization, or dialogue systems. The automatic processing of languages contains several levels of analysis as follows: • Morphological Analysis • Syntactic Analysis • Semantic Analysis … Related articles
General principles of user-oriented evaluation margaret king M King – Evaluation of text and speech systems, 2007 – Springer … took place. The EAGLES work concentrated on relatively simple language technology products such as spelling checkers, grammar checkers, and trans- lation memory systems as test beds for the evaluation methodology. The … Cited by 8 Related articles All 5 versions
Generating Arabic text in multilingual speech-to-speech machine translation framework AA Monem, K Shaalan, A Rafea, H Baraka – Machine translation, 2008 – Springer Page 1. Mach Translat (2008) 22:205–258 DOI 10.1007/s10590-009-9054-9 Generating Arabic text in multilingual speech-to-speech machine translation framework Azza Abdel Monem · Khaled Shaalan · Ahmed Rafea · Hoda Baraka … Cited by 15 Related articles All 10 versions
Nordic Graduate School of Language Technology (NGSLT) R Cooper – 2007 – ngslt.gslt.hum.gu.se … Spring Term Dialogue Systems Lars Ahrenberg, Linköpings universitet, Sweden, GSLT Java Development for HLT Lars Degerstedt, Linköpings universitet, Sweden, GSLT Lexical Semantics Åke Viberg, Uppsala University, Swe- den, GSLT Machine Learning Joakim Nivre … Related articles All 3 versions
Exploiting Unlabeled Text to Extract New Words of Different Semantic Transparency for Chinese Word Segmentation. RTH Tsai, HC Hung – IJCNLP, 2008 – aclweb.org … 939 Page 366. A Punjabi Grammar Checker Abstract This article provides description about the grammar checking software developed for detecting the grammatical errors in Punjabi texts and providing suggestions wherever appropriate to rectify those errors. … Related articles All 4 versions
[BOOK] Language and Computers M Dickinson, C Brew, D Meurers – 2012 – books.google.com … expectations 6.5 Properties of dialog 6.6 Dialog systems and their tasks 6.7 Eliza 6.8 Spoken dialogs 6.9 How to evaluate a dialog system 6.10 Why … For example, there is a great deal in common between how grammar checkers and automatic speech- recognition systems work. … Cited by 1 Related articles All 4 versions
FROM CORPUS TO LANGUAGE CLASSROOM: reusing Stockholm Umeå Corpus in a vocabulary exercise generator SCORVEX E Volodina – 2008 – gupea.ub.gu.se Page 1. University of Gothenburg Language Technology Programme May, 2008 FROM CORPUS TO LANGUAGE CLASSROOM: reusing Stockholm Umeå Corpus in a vocabulary exercise generator SCORVEX Master Thesis, 30 points Author: Elena Volodina … Related articles All 4 versions
Natural language generation and semantic web technologies N Bouayad-Agha, G Casamayor… – Semantic Web …, 2012 – semantic-web-journal.org … In Janzen and Maas’s dialogue system [68], NLG starts from a layered OWL-DL knowledge repository that contains a complete model about question answer- ing and an instantiation of the domain model (in their case, in-store shopping dialogues). … Cited by 3 Related articles All 2 versions
A technology audit: The state of human language technologies (HLT) R&D in South Africa AS Grover, GB van Huyssteen… – … Management in the …, 2011 – ieeexplore.ieee.org … as text [3], whilst speech technologies include technologies such as speech recognition, speech synthesis and spoken dialogue systems [4, 5 … In the text domain, proofing/authoring tools (eg spell and grammar checkers), translation (human- and machine-aided) and information … Related articles All 2 versions
Interactivity: Evolution and emerging trends C Stephanidis, V Kouroumalis, M Antona – Handbook of human factors …, 2012 – ics.forth.gr Page 1. Interactivity: evolution and emerging trends CONSTANTINE STEPHANIDIS 1,2 , VASSILIS KOUROUMALIS 1 AND MARGHERITA ANTONA 1 1 Institute of Computer Science Foundation for Research and Technology – Hellas (FORTH) … Cited by 3 Related articles All 2 versions
Combining machine learning and rule-based approaches in Spanish syntactic generation MT Melero Nogués – 2006 – tesisenxarxa.net … morphological and syntactic6 information, plus a few basic semantic features, such as ‘Human’ and ‘Count’. During the development of the Spanish Grammar Checker, other features were manually introduced, such as ‘TakesSubj’, for instance, which is a Boolean … Cited by 5 Related articles All 9 versions
Language Technology for the Lazy: Avoiding Work by Using Statistics and Machine Learning J Sjöbergh – 2006 – diva-portal.org … 77 ix Page 10. x CONTENTS 5.2 Evaluating Grammar Checkers . . . . . … NLP is of course a very large research area, including such diverse things as speech recognition, machine translation, text categorization and dialogue systems. … Cited by 3 Related articles All 17 versions
Automated Grammatical Error Detection for Language Learners C Leacock, M Chodorow, M Gamon… – Synthesis Lectures on …, 2014 – morganclaypool.com … Spoken Dialogue Systems Kristiina Jokinen and Michael McTear 2009 … Another case of a spelling error that is typically covered by grammar checkers is that of easily confused word sets, homophones or near-homophones that learners and natives alike tend to confuse. … Cited by 9 Related articles All 3 versions
Detecting Grammatical Errors with Treebank-Induced, Probabilistic Parsers J Wagner – 2012 – core.kmi.open.ac.uk … abilistic Parsers Abstract Today’s grammar checkers often use hand-crafted rule systems that define acceptable language. The development of such rule systems is labour-intensive and has to be repeated for each language. … Cited by 5 Related articles All 7 versions
[BOOK] Computational Linguistics and Intelligent Text Processing: 13th International Conference, CICLing 2012, New Delhi, India, March 11-17, 2012, Proceedings A Gelbukh – 2012 – books.google.com Page 1. Alexander Gelbukh (Ed.) Computational Linguistics and Intelligent Text Processing 13th International Conference, C|CLing 2012 New Delhi, India, March 2012 Proceedings, Part I LNCS 7181 @ Springer Page 2. Lecture … Cited by 1 Related articles All 4 versions
Artificial Conversations for Chatter Bots Using Knowledge Representation, Learning, and Pragmatics C Chakrabarti – 2014 – repository.unm.edu … 22 2.2 The Syntactic Approach . . . . . 26 2.3 The Semantic Approach . . . . . 27 2.4 Dialogue systems . . . . . 27 viii Page 9. Contents 2.5 Limitations of existing approaches . . . . . 29 …
Towards the Development of an Automatic Diacritizer for the Persian Orthography Based on the Xerox Finite State Transducer P Nojoumian – 2011 – ruor.uottawa.ca … institutions. For example, modern companies and government organizations try to use efficient automatic dialogue systems to handle high volumes of their client phone calls. TTS systems can be used by the blind and by reader gadgets for millions of readers. … All 3 versions
Correction of Noisy Sentences using a Monolingual Corpus D Chatterhee – arXiv preprint arXiv:1105.4318, 2011 – arxiv.org … this moment we can only try to improve the quality of the language generated somehow. Such Natural Language Generation is performed by a number of applications like Machine Translation, Question Answering, Dialog Systems, 1 Page 13. Summarization systems etc. … Related articles All 3 versions
Automatic evaluation of users’ short essays by using statistical and shallow natural language processing techniques DRP Mar?n – 2004 – eps.uam.es Page 1. Automatic evaluation of users’ short essays by using statistical and shallow natural language processing techniques Advanced Studies Diploma Work Diana Pérez Mar´?n under the supervision of Enrique Alfonseca and Pilar Rodr?guez May, 2004 Page 2. Contents … Cited by 3 Related articles All 7 versions
[BOOK] Information Technology in Business Management M Dhunna, JB Dixit – 2010 – books.google.com Page 1. INFORMATION TECHNOLOGY IN USINE MANAGEMENT 8 Dr. Mukesh Dhunna JB Dixit Page 2. Page 3. INFORMATION TECHNOLOGY IN BUSINESS MANAGEMENT Page 4. Page 5. INFORMATION TECHNOLOGY … Cited by 1
Data-intensive text processing with MapReduce J Lin, C Dyer – Synthesis Lectures on Human Language …, 2010 – morganclaypool.com … Spoken Dialogue Systems Kristiina Jokinen and Michael McTear 2009 … as a supervised machine learning problem: we can train a classifier to disambiguate between the options, and then apply the classifier to new instances of the problem (say, as part of a grammar checker). … Cited by 323 Related articles All 10 versions
InfoSam2020 A Sølvberg – ime.ntnu.no Page 1. InfoSam2020 The Information Society of 2020 -an exercise in planning for the future NTNU, April 19-20, 2004 Pre-conference proceedings Arne Sølvberg (ed.) 2 nd Edition, July 1, 2004 Co-arrangers: Faculty of Information … Related articles All 4 versions
A Topical Bibliography on Computer-Assisted Language Learning (CALL). F Kilickaya – Online Submission, 2009 – ERIC Page 1. A Topical Bibliography on Computer-Assisted Language Learning (CALL) Ferit KILIÇKAYA September 5, 2009 Page 2. 1 | Page A Topical Bibliography on Computer-Assisted Language Learning (CALL) Ferit KILIÇKAYA Middle East Technical University … Cited by 1 Related articles