Academic literature on the topic 'Intelligent language processing'
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Journal articles on the topic "Intelligent language processing"
Zou, Xiao Hua. "The Study on the Framework of Intelligence Information Processing." Applied Mechanics and Materials 20-23 (January 2010): 861–66. http://dx.doi.org/10.4028/www.scientific.net/amm.20-23.861.
Full textTafazoli, Dara, Elena Gómez María, and Cristina A. Huertas Abril. "Intelligent Language Tutoring System." International Journal of Information and Communication Technology Education 15, no. 3 (July 2019): 60–74. http://dx.doi.org/10.4018/ijicte.2019070105.
Full textNagata, Noriko. "An Effective Application of Natural Language Processing in Second Language Instruction." CALICO Journal 13, no. 1 (January 14, 2013): 47–67. http://dx.doi.org/10.1558/cj.v13i1.47-67.
Full textPramada, Sawant. "Intelligent Sign Language Recognition Using Image Processing." IOSR Journal of Engineering 03, no. 02 (February 2013): 45–51. http://dx.doi.org/10.9790/3021-03224551.
Full textPinto, David, Beatriz Beltrán, and Vivek Singh. "Recent advances in language & knowledge engineering." Journal of Intelligent & Fuzzy Systems 42, no. 5 (March 31, 2022): 4299–305. http://dx.doi.org/10.3233/jifs-219220.
Full textChen, Keliang, Yunxiao Zu, and Weizheng Ren. "Research and Design of Knowledge System Construction System Based on Natural Language Processing." International Journal of Pattern Recognition and Artificial Intelligence 33, no. 12 (November 2019): 1959038. http://dx.doi.org/10.1142/s0218001419590389.
Full textShah, Rishabh, Siddhant Lahoti, and K. Lavanya. "An intelligent chat-bot using natural language processing." International Journal of Engineering Research 6, no. 5 (2017): 281. http://dx.doi.org/10.5958/2319-6890.2017.00019.8.
Full textWei, Tan Chia, Mohd Hanafi Ahmad Hijazi, Suraya Alias, Ag Asri Ag Ibrahim, and Mohd Fairuz Iskandar Othman. "Intelligent Course Recommender Chatbot Using Natural Language Processing." International Journal on Advanced Science, Engineering and Information Technology 12, no. 5 (September 20, 2022): 1915. http://dx.doi.org/10.18517/ijaseit.12.5.14798.
Full textMcSHANE, MARJORIE, and SERGEI NIRENBURG. "A KNOWLEDGE REPRESENTATION LANGUAGE FOR NATURAL LANGUAGE PROCESSING, SIMULATION AND REASONING." International Journal of Semantic Computing 06, no. 01 (March 2012): 3–23. http://dx.doi.org/10.1142/s1793351x12400016.
Full textPikhart, Marcel. "Intelligent information processing for language education: The use of artificial intelligence in language learning apps." Procedia Computer Science 176 (2020): 1412–19. http://dx.doi.org/10.1016/j.procs.2020.09.151.
Full textDissertations / Theses on the topic "Intelligent language processing"
Lerjebo, Linus, and Johannes Hägglund. "Intelligent chatbot assistant: A study of Natural Language Processing and Artificial Intelligence." Thesis, Högskolan i Halmstad, Akademin för informationsteknologi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-42691.
Full textHuang, Qiang. "Speech and language processing for intelligent call routing." Thesis, University of East Anglia, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.426693.
Full textGlinos, Demetrios George. "An intelligent editor for natural language processing of unrestricted text." Master's thesis, University of Central Florida, 1999. http://digital.library.ucf.edu/cdm/ref/collection/RTD/id/16913.
Full textThe understanding of natural language by computational methods has been a continuing and elusive problem in artificial intelligence. In recent years there has been a resurgence in natural language processing research. Much of this work has been on empirical or corpus-based methods which use a data-driven approach to train systems on large amounts of real language data. Using corpus-based methods, the performance of part-of-speech (POS) taggers, which assign to the individual words of a sentence their appropriate part of speech category (e.g., noun, verb, preposition), now rivals human performance levels, achieving accuracies exceeding 95%. Such taggers have proved useful as preprocessors for such tasks as parsing, speech synthesis, and information retrieval. Parsing remains, however, a difficult problem, even with the benefit of POS tagging. Moveover, as sentence length increases, there is a corresponding combinatorial explosing of alternative possible parses. Consider the following sentence from a New York Times online article: After Salinas was arrested for murder in 1995 and lawyers for the bank had begun monitoring his accounts, his personal banker in New York quietly advised Salinas' wife to move the money elsewhere, apparently without the consent of the legal department. To facilite the parsing and other tasks, we would like to decompose this sentence into the following three shorter sentences which, taken together, convey the same meaning as the original: 1. Salinas was arrested for murder in 1995. 2. Lawyers for the bank had begun monitoring his accounts. 3. His personal banker in New York quietly adviced Salinas' wife to move the money elsewhere, apprently without the consent of the legal department. This study investigates the development of heuristics for decomposing such long sentences into sets of shorter sentences without affecting the meaning of the original sentences. Without parsing or semantic analysis, heuristic rules were developed based on: (1) the output of a POS tagger (Brill's tagger); (2) the punctuation contained in the input sentences; and (3) the words themselves. The heuristic algorithms were implemented in an intelligent editor program which first augmented the POS tags and assigned tags to punctuation, and then tested the rules against a corpus of 25 New York Times online articles containing approximately 1,200 sentences and over 32,000 words, with good results. Recommendations are made for improving the algorithms and for continuing this line of research.
M.S.;
Computer Science
Arts and Sciences
Computer Science;
220 p.
xii, 220 leaves, bound : ill. ; 28 cm.
Amaral, Luiz Alexandre Mattos do. "Designing intelligent language tutoring systems for integration into foreign language instruction." Columbus, Ohio : Ohio State University, 2007. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1179979688.
Full textAmaral, Luiz A. "Designing intelligent language tutoring systems for integration into foreign language instruction." The Ohio State University, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=osu1179979688.
Full textMoiseeva, Alena [Verfasser], and Hinrich [Akademischer Betreuer] Schütze. "Statistical natural language processing methods for intelligent process automation / Alena Moiseeva ; Betreuer: Hinrich Schütze." München : Universitätsbibliothek der Ludwig-Maximilians-Universität, 2020. http://d-nb.info/1218466944/34.
Full textBailey, Stacey M. "Content Assessment in Intelligent Computer-aided Language Learning: Meaning Error Diagnosis for English as a Second Language." Columbus, Ohio : Ohio State University, 2008. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1204556485.
Full textSasa, Yuko. "Intelligence Socio-Affective pour un Robot : primitives langagières pour une interaction évolutive d'un robot de l’habitat intelligent." Thesis, Université Grenoble Alpes (ComUE), 2018. http://www.theses.fr/2018GREAM041/document.
Full textThe Natural Language Processing (NLP) has technically improved regarding human speech vocabulary extension, morphosyntax scope, style and aesthetic. Affective Computing also tends to integrate an “emotional” dimension with a common goal shared with NLP which is to disambiguate the natural language and increase the human-machine interaction naturalness. Within social robotics, the interaction is modelled in dialogue systems trying to reach out an attachment dimension which effects need to an ethical and collective control. However, the situated natural language dynamics is undermining the automated system’s efficiency, which is trying to respond with useful and suitable feedbacks. This thesis hypothesis supposes the existence of a “socio-affective glue” in every interaction, set up in between two individuals, each with a social role depending on a communication context. This glue is so the consequence of dynamics generated by a process which mechanisms rely on an altruistic dimension, but independent of dominance dimension as seen in emotions studies. This glue would allow the exchange of the language events between interlocutors, by regularly modifying their relation and their role, which is changing themselves this glue, to ensure the communication continuity. The second hypothesis proposes the glue as built by “socio-affective pure prosody” forms that enable this relational construction. These cues are supposed to be carried by hearable and visible micro-expressions. The interaction events effect would also be gradual following the degree of the communication’s intentionality control. The graduation will be continuous through language primitives as 1) mouth noises (neither phonetics nor phonological sounds), 2) pre-lexicalised sounds, 3) interjections and onomatopoeias, 4) controlled command-based imitations with the same socio-affective prosody supposed to create and modify the glue. Within the Domus platform, we developed an almost living-lab methodology. It functions on agile and iterative loops co-constructed with industrial and societal partners. A wizard of oz approach – EmOz – is used to control the vocal primitives proposed as the only language tools of a Smart Home butler robot interacting with relationally isolated elderly. The relational isolation allows the dimensions the socio-affective glue in a contrastive situation where it is damaged. We could thus observe the primitives’ effects through multimodal language cues. One of the gerontechnology social motivation showed the isolation to be a phenomenon amplifying the frailty so can attest the emergence of assistive robotics. A vicious circle leads by the elderly communicational characteristics convey them to some difficulties to maintain their relational tissue while their bonds are beneficial for their health and well-being. If the proposed primitives could have a real effect on the glue, the automated system will be able to train the persons to regain some unfit mechanisms underlying their relational construction, and so possibly increase their desire to communicate with their human social surroundings. The results from the collected EEE corpus show the relation changes through various interactional cues, temporally organised. These denoted parameters tend to build an incremental dialogue system in perspectives – SASI. The first steps moving towards this system reside on a speech recognition prototype which robustness is not based on the accuracy of the recognised language content but on the possibility to identify the glue degree (i.e. the relational state) between the interlocutors. Thus, the recognition errors avoid the system to be rejected by the user, by tempting to be balanced by this system’s adaptive socio-affective intelligence
Wärmegård, Erik. "Intelligent chatbot assistant: A study of integration with VOIP and Artificial Intelligence." Thesis, Högskolan i Halmstad, Akademin för informationsteknologi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-42693.
Full textI utvecklingen av intelligenta system har sjukvården etablerat sig som en stor målgrupp. Trots avancerade tekniker så är sjukvården fortfarande under tung belastning. Målet för detta examensarbete är att undersöka möjligheten av en chatbot vars syfte är att lätta på arbetsbelastningen hos sjukvårdspersonalen och samtidigt erbjuda en garanti för att patienter får den tillsyn och återkoppling de behöver. Med hjälp av Artificiell Intelligens, VOIP, Natural Language Processing och webbutveckling kan denna chatbot kommunicera med patienten. Chatboten agerar som ett assisterande verktyg som står för ett förarbete i beslutstagandet för sjukvårdspersonal. Ett systemsom inte bara ger praktisk nytta utan också ett främjande av den utveckling som Artificiell Intelligens gör inom sjukvården. Systemet administreras genom en hemsida som kopplar samman de flera olika komponenterna. Här kan en administratör initiera samtal och spara klienter som ska ringas till databasen. För att kunna fastställa att systemet opererar i realtid har görs flertalet prestandatester avseende både tidsfördröjningar och samtalskvalité.
Kauppi, Ilkka. "Intermediate language for mobile robots : a link between the high-level planner and low-level services in robots /." Espoo [Finland] : VTT Technical Research Centre of Finland, 2003. http://www.vtt.fi/inf/pdf/publications/2003/P510.pdf.
Full textBooks on the topic "Intelligent language processing"
Kłopotek, Mieczysław A., Jacek Koronacki, Małgorzata Marciniak, Agnieszka Mykowiecka, and Sławomir T. Wierzchoń, eds. Language Processing and Intelligent Information Systems. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38634-3.
Full textShaalan, Khaled, Aboul Ella Hassanien, and Fahmy Tolba, eds. Intelligent Natural Language Processing: Trends and Applications. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-67056-0.
Full textBatchelor, Bruce G. Intelligent image processing in Prolog. London: Springer-Verlag, 1991.
Find full textBatchelor, Bruce G. Intelligent Image Processing in Prolog. London: Springer London, 1991.
Find full textNatural Language Processing with PyTorch: Build Intelligent Language Applications Using Deep Learning. Beijing: O’Reilly Media, 2019.
Find full textTheeramunkong, Thanaruk, Rachada Kongkachandra, Mahasak Ketcham, Narit Hnoohom, Pokpong Songmuang, Thepchai Supnithi, and Kiyota Hashimoto, eds. Advances in Intelligent Informatics, Smart Technology and Natural Language Processing. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-94703-7.
Full textTheeramunkong, Thanaruk, Rachada Kongkachandra, and Thepchai Supnithi, eds. Advances in Natural Language Processing, Intelligent Informatics and Smart Technology. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-70016-8.
Full textWilliams, Noel. The intelligent micro: Artificial intelligence for microcomputers. London: McGraw-Hill, 1985.
Find full textKevitt, Paul Mc. Integration of Natural Language and Vision Processing: (Volume II) Intelligent Multimedia. Dordrecht: Springer Netherlands, 1995.
Find full textPei, Zheng. Linguistic Values Based Intelligent Information Processing: Theory, Methods, and Applications. Paris: Atlantis Press, 2010.
Find full textBook chapters on the topic "Intelligent language processing"
Kacalak, Wojciech, Keith Douglas Stuart, and Maciej Majewski. "Intelligent Natural Language Processing." In Lecture Notes in Computer Science, 584–87. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11881070_79.
Full textBrill, Eric. "Processing Natural Language without Natural Language Processing." In Computational Linguistics and Intelligent Text Processing, 360–69. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-36456-0_37.
Full textVerma, Brijesh, Hong Lee, and John Zakos. "An Automatic Intelligent Language Classifier." In Advances in Neuro-Information Processing, 639–46. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03040-6_78.
Full textBatchelor, Bruce G. "Extending the Language." In Intelligent Image Processing in Prolog, 101–26. London: Springer London, 1991. http://dx.doi.org/10.1007/978-1-4471-0401-8_4.
Full textYing, Shi. "Research on Semantic Programming Language." In Intelligent Information Processing VI, 15. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-32891-6_5.
Full textMajewski, Maciej, and Wojciech Kacalak. "Intelligent System for Natural Language Processing." In Lecture Notes in Computer Science, 742–47. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/978-3-540-37275-2_93.
Full textNiiranen, Samuli, Jari Yli-Hietanen, and Olli Yli-Harja. "Natural Language and Biological Information Processing." In Intelligent Systems Reference Library, 219–28. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19621-8_10.
Full textFenstad, Jens Erik, and Jan Tore Lønning. "Computational semantics: Steps towards “intelligent” text processing." In Natural Language and Logic, 70–93. Berlin, Heidelberg: Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/3-540-53082-7_18.
Full textde Novais, Eder Miranda, Ivandré Paraboni, and Diogo Takaki Ferreira. "Highly-Inflected Language Generation Using Factored Language Models." In Computational Linguistics and Intelligent Text Processing, 429–38. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19400-9_34.
Full textMihalcea, Rada, Hugo Liu, and Henry Lieberman. "NLP (Natural Language Processing) for NLP (Natural Language Programming)." In Computational Linguistics and Intelligent Text Processing, 319–30. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11671299_34.
Full textConference papers on the topic "Intelligent language processing"
Kumar, Rashi, and Vineet Sahula. "Intelligent Approaches for Natural Language Processing for Indic Languages." In 2021 IEEE International Symposium on Smart Electronic Systems (iSES). IEEE, 2021. http://dx.doi.org/10.1109/ises52644.2021.00084.
Full textGelbukh, A. "Natural language processing." In Fifth International Conference on Hybrid Intelligent Systems (HIS'05). IEEE, 2005. http://dx.doi.org/10.1109/ichis.2005.79.
Full textDoszkocs, Tamas. "Natural language processing in intelligent information retrieval." In the 1985 ACM annual conference. New York, New York, USA: ACM Press, 1985. http://dx.doi.org/10.1145/320435.320541.
Full text"Session: Natural Language Processing." In 2019 IEEE 15th International Conference on Intelligent Computer Communication and Processing (ICCP). IEEE, 2019. http://dx.doi.org/10.1109/iccp48234.2019.8959560.
Full textGupta, Prashant, Aman Goswami, Sahil Koul, and Kashinath Sartape. "IQS-intelligent querying system using natural language processing." In 2017 International Conference of Electronics, Communication and Aerospace Technology (ICECA). IEEE, 2017. http://dx.doi.org/10.1109/iceca.2017.8212846.
Full textK, Vindhya Vasini, Tejasvi K, Pravallika K, and Ch Nanda Krishna. "A Natural Language Processing based Intelligent Bot Application." In 2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS). IEEE, 2022. http://dx.doi.org/10.1109/icscds53736.2022.9760998.
Full textSong, Peiyou, Anhei Shu, David Phipps, Mohit Tiwari, Dan S. Wallach, Jedidiah R. Crandall, and George F. Luger. "Language without words: A pointillist model for natural language processing." In 2012 Joint 6th Intl. Conference on Soft Computing and Intelligent Systems (SCIS) and 13th Intl. Symposium on Advanced Intelligent Systems (ISIS). IEEE, 2012. http://dx.doi.org/10.1109/scis-isis.2012.6505413.
Full textAhirrao, Mayur, Yash Joshi, Atharva Gandhe, Sumeet Kotgire, and Rohini G. Deshmukh. "Phrase Composing Tool using Natural Language Processing." In 2021 International Conference on Intelligent Technologies (CONIT). IEEE, 2021. http://dx.doi.org/10.1109/conit51480.2021.9498546.
Full textYasaswi, K., Vijaya Kumar Kambala, P. Sai Pavan, M. Sreya, and V. Jasmika. "News Classification using Natural Language Processing." In 2022 3rd International Conference on Intelligent Engineering and Management (ICIEM). IEEE, 2022. http://dx.doi.org/10.1109/iciem54221.2022.9853174.
Full textMantegh, Iraj, and Nazanin S. Darbandi. "Knowledge-Based Task Planning Using Natural Language Processing for Robotic Manufacturing." In ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/detc2010-29123.
Full textReports on the topic "Intelligent language processing"
Li, Eliot, Charles Nicholas, Tim Oates, and Raman K. Mehra. Intelligent Record Linkage Techniques Based on Information Retrieval, Natural Language Processing, and Machine Learning. Fort Belvoir, VA: Defense Technical Information Center, November 2002. http://dx.doi.org/10.21236/ada408937.
Full textMurdick, Dewey, Daniel Chou, Ryan Fedasiuk, and Emily Weinstein. The Public AI Research Portfolio of China’s Security Forces. Center for Security and Emerging Technology, March 2021. http://dx.doi.org/10.51593/20200057.
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