Language-independent & Dialog Systems 2015


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100 Best GitHub: Machine Translation100 Best MATLAB Voice Control Videos100 Best Wheelchair Voice Control VideosAbstractive Summarization 2014AIML & PrologAIML & WordNetAIML 2007Apache OpenNLP & Coreference Resolution 2014APR (Automatic Personality Recognition) 2013Automatic Summarization & Neural Networks 2014Automatic Summarization 2013Boltzmann Machine & Dialog SystemsCLE (Core Language Engine)CMUSphinx 2014Co-occurrence & Dialog Systems 2015Decision Tree & Dialog Systems 2015Dialog SimulatorDiscourse Parser 2014EllogonExtractive SummarizationFormal GrammarFrameNetHPSG ParsersInterlingua & Dialog SystemsIRSTLM (IRST Language Modeling) Toolkit 2014JIRS (Java Information Retrieval System)k-Nearest Neighbors & Question Answering 2014Lexical ChainingLSM (Latent Semantic Mapping)MaxEnt & Dialog Systems 2014MindmakersN-gram Dialog SystemsNatural Language Generators & Dialog SystemsNaturalOWLNever-Ending Language Learning (NELL)Open Chatbot StandardsOpenEphyra (Ephyra Question Answering System)OWL API 2014Part-of-speech Tagging & Dialog Systems 2014Porter StemmerPsyclone AIOS (Artificial Intelligence Operating System)Question Answering ModuleRhetorical Structure TreeROUGE (Recall-Oriented Understudy for Gisting Evaluation) 2014Rule-based Language ModelingSemantic Textual Similarity 2014Sentence ExtractionSentence ExtractorSentence Segmentation & Dialog SystemsSpeech RecognizersStatistical Parser & Dialog SystemsStatistical Semantics 2014SUMO (Suggested Upper Merged Ontology) & Dialog SystemsSyntactic Grammars & Dialog SystemsTerm Extractor & Dialog SystemsText Summarization 2014Textual Entailment SystemsTokenizer & Dialog SystemsTreeTagger & Dialog SystemsXPath & Dialog Systems


A dialogue system for telugu, a resource-poor language MC Sravanthi, K Prathyusha, R Mamidi – International Conference on …, 2015 – Springer … The model is domain and language independent. As there is no automated evaluation tool available for dialogue systems we went for human evaluation of our system, which was developed for Telugu language over ‘Tourist places of Hyderabad’ domain. … Cited by 3 Related articles All 2 versions

Understanding user’s cross-domain intentions in spoken dialog systems M Sun, YN Chen, AI Rudnicky – … on Machine Learning for SLU and …, 2015 – researchgate.net … We also let users talk to a Wizard-of-Oz dialog system to reproduce (“reenact”) the multi-domain tasks in speech, instead of … alter- native [25, 12, 1]. We chose the Rapid Automatic Keyword Extraction (RAKE) algorithm [1], an unsupervised, language-independent and domain … Cited by 5 Related articles All 3 versions

Fix it where it fails: Pronunciation learning by mining error corrections from speech logs Z Kou, D Stanton, F Peng, F Beaufays… – … on Acoustics, Speech …, 2015 – ieeexplore.ieee.org … The models we propose are language-independent. … 736–742. [9] Marco Orlandi, Christopher Culy, and Horacio Franco, “Using dialog corrections to improve speech recognition,” in Error Handling in Spoken Language Dialogue Systems, 2003. … Cited by 4 Related articles All 6 versions

[BOOK] Natural Language Processing and Information Systems: 20th International Conference on Applications of Natural Language to Information Systems, NLDB … C Biemann, S Handschuh, A Freitas, F Meziane… – 2015 – books.google.com … Sule Yildirim Yayilgan, and Ali Shariq Imran NADIA: A Simplified Approach Towards the Development of Natural Dialogue Systems….. … XIV Contents A Language-Independent Method for Detection and Correction of Alignment Errors in Parallel Corpora … Cited by 2 Related articles

Towards taxonomy of errors in chat-oriented dialogue systems R Higashinaka, K Funakoshi, M Araki… – 16th Annual Meeting of …, 2015 – aclweb.org … The research was con- ducted only in Japanese, which is another lim- itation. Although we believe our approach is language-independent, we need to verify this with systems using other languages. Our ultimate goal is to reduce errors in chat- oriented dialogue systems. … Cited by 3 Related articles All 9 versions

Evaluation of a Standalone Language-independent Dialogue Framework A Jordan, K Araki – … on the International Conference on Artificial …, 2015 – search.proquest.com Evaluation of a Standalone Language-independent Dialogue Framework. Abstract. … With progress in research and systems improve, spoken dialogue agents are able to handle more and more situations, like the Multimodal Multi-domain Spoken Dialogue System [2], for example. … Cited by 1 Related articles All 3 versions

Multi-Language Hypotheses Ranking And Domain Tracking for Open Domain Dialogue Systems PA Crook, JP Robichaud… – … Annual Conference of …, 2015 – research.microsoft.com … 4. Conclusion This paper presents the results of applying a universal HR model to dialogue systems that were built to operate in multiple languages. It demonstrates that as the set of input features used by HR models are largely language independent a single, uni- versal HR … Cited by 1 Related articles All 2 versions

A cloud robotics approach towards dialogue-oriented robot speech K Sugiura, Y Shiga, H Kawai, T Misu, C Hori – Advanced Robotics, 2015 – Taylor & Francis … C, Kashioka H, Nakamura S. Annotating communicative function and semantic content in dialogue act for construction of consulting dialogue systems. … service is available at http://komeisugiura. jp/software/nm_tts.html.View all notes. This service is language independent so that … Cited by 3 Related articles All 5 versions

Romanian phonetic transcription dictionary for speeding up language technology development J Domokos, O Buza, G Toderean – Language Resources and Evaluation, 2015 – Springer … But speech recognition systems are mainly developed for English language although the used techniques are mostly language independent. The … Spontaneous speech recognition for Romanian in spoken dialogue systems. Proceedings … Cited by 2 Related articles All 5 versions

Unsupervised Assistive and Adaptive Intelligent Agent in Smart Environment S Pais, J Casal, R Ponciano… – Proceedings of the …, 2015 – academia.edu … This module is language-independent, its architecture implementation, based on technologies also adaptable to any language (see next section). … Indeed, the development of a spoken dialogue system requires the integration of several components of the spoken language … Cited by 2 Related articles All 4 versions

Planning, Execution and Monitoring of Physical Rehabilitation Therapies with a Robotic Architecture JC González, JC Pulido, F Fernández… – Proceedings of the …, 2015 – books.google.com … In order to provide a flexible platform, language-independent interfaces are included to ease the use of different robots and planning languages. … provides different clinical metrics to evaluate the progress of the patient, eg the GAS scale [7]. Finally, the Dialog System is an … Cited by 3 Related articles All 10 versions

Linguistic individuality transformation for spoken language M Mizukami, G Neubig, S Sakti, T Toda… – … Dialog Systems and …, 2015 – Springer … In: 5th international workshop on spoken dialog systems (IWSDS) Inui K, Fujita A (2004) A survey on paraphrase generation and recognition. … Trans Audio Speech Lang Process 21(2):280–290 Riesa J, Irvine A, Marcu D (2011) Feature-rich language-independent syntax-based … Cited by 2 Related articles All 10 versions

Big Data–Driven Natural Language–Processing Research and Applications V Gudivada, D Rao, V Raghavan – Big Data Analytics, 2015 – books.google.com … used in other tasks such as co-reference resolution, word-sense disambiguation, semantic parsing, question answering, dialog systems, textual entailment … A trainable rule-based algorithm for performing language-independent word segmentation is discussed in Palmer (1997). … Cited by 3 Related articles

A universal model for flexible item selection in conversational dialogs A Celikyilmaz, Z Feizollahi… – … IEEE Workshop on …, 2015 – ieeexplore.ieee.org … Our hypothesis for building a universal FIS model is that given a shared approach to SLU and back-end knowledge resources across all languages, a single universal language- independent FIS model used for dialog systems deployed in different languages should perform as … Cited by 1 Related articles All 2 versions

Automatic Speech Recognition-A Literature Survey on Indian languages and Ground Work for Isolated Kannada Digit Recognition using MFCC and ANN SB Harisha, S Amarappa, DSV Sathyanarayana – International Journal of … – eslibrary.org … above mentioned parameters. Plauche, M. et al. (2006) [108] presented an inexpensive approach for gathering the linguistic resources needed to power a simple spoken dialog system. Ganesh, AA et al. (2013) [109] introduced … Cited by 2 Related articles All 2 versions

Statistical sandhi splitter for agglutinative languages P Kuncham, K Nelakuditi, S Nallani… – … Conference on Intelligent …, 2015 – Springer … Our model is language independent mainly because of automatically extracted class labels. … Showing the impact of sandhi splitting on NLP ap- plications like Machine Translation, Parsers, Dialogue System etc., is part of our immediate future work. … Cited by 1 Related articles

A prosody-based vector-space model of dialog activity for information retrieval NG Ward, SD Werner, F Garcia, E Sanchis – Speech Communication, 2015 – Elsevier Search in audio archives is a challenging problem. Using prosodic information to help find relevant content has been proposed as a complement to word-based retr. Cited by 2 Related articles All 5 versions

Towards a hybrid NLG system for Data2Text in Portuguese JC Pereira, A Teixeira, JS Pinto – 2015 10th Iberian Conference …, 2015 – ieeexplore.ieee.org … BAGEL – was presented in [7]. It is designed to produce natural utterances within a large dialogue system domain. Another purpose is minimizing the development effort. … [11] H. Schmid, “TreeTagger – a language independent part-of-speech tagger,” 2015. [Online]. … Cited by 1 Related articles All 4 versions

Emotion transplantation through adaptation in HMM-based speech synthesis J Lorenzo-Trueba, R Barra-Chicote… – Computer Speech & …, 2015 – Elsevier … A final evaluation with a robotic laboratory assistant application shows how by using emotional speech we can significantly increase the students’ satisfaction with the dialog system, proving how the proposed emotion transplantation system provides benefits in real applications. … Cited by 4 Related articles All 5 versions

An i-Vector PLDA based gender identification approach for severely distorted and multilingual DARPA RATS data S Ranjan, G Liu, JHL Hansen – 2015 IEEE Workshop on …, 2015 – ieeexplore.ieee.org … in the larynx anatomy [1]. Gender identification from speech is important for knowl- edge extraction to direct model selection/weighting in Au- tomatic Speech Recognition (ASR), dialog systems, and di … [4] ES Parris and MJ Carey, “Language independent gender identification … Cited by 1 Related articles All 6 versions

A language model based approach towards large scale and lightweight language identification systems BML Srivastava, HK Vydana, AK Vuppala… – arXiv preprint arXiv: …, 2015 – arxiv.org … ABSTRACT Multilingual spoken dialogue systems have gained promi- nence in the recent past necessitating the requirement for a front-end Language … In this paper, the input speech signal is tokenized to phone sequences by using a language independent phone recognizer. … Related articles All 3 versions

Is Interpretation of Artificial Subtle Expressions Language-Independent?: Comparison among Japanese, German, Portuguese, and Mandarin Chinese T Komatsu, R Prada, K Kobayashi, S Yamada… – Proceedings of the 33rd …, 2015 – dl.acm.org … However, we have to tackle several consecutive experiments in order to conclude that the ways are language-independent. … M. Incorporating Discourse Features into Confidence Scoring of Intention Recognition Results in Spoken Dialogue Systems, Speech Communication 48 … Related articles

Natural Language Processing and Information Systems C Biemann, S Handschuh, A Freitas, F Meziane… – Springer … 137 Zenun Kastrati, Sule Yildirim Yayilgan, and Ali Shariq Imran NADIA: A Simplified Approach Towards the Development of Natural Dialogue Systems….. … A Language-Independent Method for Detection and Correction of Alignment Errors in Parallel Corpora …

Statistical Sandhi Splitter and its Effect on NLP Applications P Kuncham, K Nelakuditi, R Mamidi – RECENT ADVANCES IN – aclweb.org … Springer. Macherey, K., Dai, AM, Talbot, D., Popat, AC, and Och, F. (2011). Language-independent com- pound splitting with morphological operations. … Sravanthi, MC, Prathyusha, K., and Mamidi, R. (2015). A Dialogue System for Telugu, a resource- poor language. … Related articles All 9 versions

Multilingual Speech to Speech MT based chat system A Gopi, T Sajini, J Stephen… – … on Computing and …, 2015 – ieeexplore.ieee.org … More responsive dialogue system were realized in Flexible Turn- Taking for Spoken Dialog Systems [3] by implementing semi- synchronous … text to be translated (source language -English), is transformed into an Interlingua, ie, an abstract language- independent representation. … Related articles All 2 versions

Signalizing and Predicting Turn-Taking in Multilingual Contexts: Using Data from Transcribed International Spoken Journalistic Texts in Human-Robot … C Alexandris – 2015 AAAI Spring Symposium Series, 2015 – academia.edu … of some or all of the above •signalized by change in prosody only (Level 2.a) (Sen- tences uttered with language-specific or language- independent prosodic models of … Signalizing Linguistic Features and Turn- taking Attempts: Employing Practices from Dialog Systems and HRI … Related articles All 2 versions

Utterance classification in speech-to-speech translation for zero-resource languages in the hospital administration domain LJ Martin, A Wilkinson, SS Miryala… – … IEEE Workshop on …, 2015 – ieeexplore.ieee.org … We are developing a way to make a language-independent dialogue system which can easily support new languages without any linguistic knowledge or expertise of the user. All that is needed is a set of recordings dynamically generated from a few speakers. … Related articles All 3 versions

Arabic Language Challenges In Text Based Conversational Agents Compared To The English Language M Hijjawi, Y Elsheikh – academia.edu … The PM technique has many advantages compared with other techniques, including that it is easy to understand and it is language independent which it might be suitable for English and Arabic. … [42] Timothy, B. and G. Toni, Health dialog systems for patients and consumers. … Cited by 1 Related articles

Investigating Ways of Interpretations of Artificial Subtle Expressions Among Different Languages: A Case of Comparison Among Japanese, German, … T Komatsu, R Prada, K Kobayashi, S Yamada… – mindmodeling.org … This result suggests that the ways are language-independent, while most techniques for speech interface systems are … Incorporating Discourse Features into Confidence Scoring of Intention Recognition Results in Spoken Dialogue Systems, Speech Communication 48 (3-4), 417 … Related articles All 3 versions

[BOOK] Text, Speech, and Dialogue: 18th International Conference, TSD 2015, Pilsen, Czech Republic, September 14-17, 2015, Proceedings P Král, V Matoušek – 2015 – books.google.com … 131 Renáta Myšková and Petr Hájek Topic Classifier for Customer Service Dialog Systems….. … 158 Michael Pucher, Valon Xhafa, Agni Dika, and Markus Toman Language-Independent Age Estimation from Speech Using Phonological and Phonemic Features …

Towards parsing language learner utterances in context C Köhn, W Menzel – 2015 – gscl2015.inf.uni-due.de Page 1. Proceedings of the Int. Conference of the German Society for Computational Linguistics and Language Technology, pages 144–153, University of Duisburg-Essen, Germany, Sep 30–Oct 2 2015. Towards parsing language learner utterances in context … Related articles

Improving Indian Language Dependency Parsing by Combining Transition-based and Graph-based Parsers BVS Kumari, RR Rao – International Journal of Computer …, 2015 – search.proquest.com … Parsing is useful in major NLP applications like Machine Translation, Dialogue systems, text generation, word sense disambiguation etc. … 2007b. Malt parser: A language-independent system for data-driven dependency parsing. … Related articles All 6 versions

SPPAS tutorial: Methodology and software for the semi-automatic annotation of speech B Bigi – 2015 – lpl-aix.fr … 3.4.13 SPPAS: dedicated to automatic annotations • Language-independent algorithms: – language-dependent resources – easy and fast to add a new language • Fully-automatic or semi-automatic (with a procedure outcome report) … Related articles

A proposal for the development of adaptive spoken interfaces to access the Web D Griol, JM Molina, Z Callejas – Neurocomputing, 2015 – Elsevier … Abstract. Spoken dialog systems have been proposed as a solution to facilitate a more natural human–machine interaction. In this paper, we … 94]. 3. Proposed framework to develop adaptive spoken dialog systems. Fig. 1 shows the … Related articles All 3 versions

Analogical Reasoning for Natural to Formal Language Transfer V Letard, S Rosset, G Illouz – Tools with Artificial Intelligence ( …, 2015 – ieeexplore.ieee.org … existing ones. Our approach is language independent, it was designed with the help of analogical reasoning to be as generic as possible. Keywords-analogical reasoning, language transfer, incremen- tal learning, formal analogy I … Cited by 1 Related articles All 2 versions

Emotion and Disposition Detection in Medical Machines: Chances and Challenges K Hartmann, I Siegert, D Prylipko – Machine Medical Ethics, 2015 – Springer … Proc. of Interspeech. ISCA, Portugal, pp 1517–1520. 10. Callejas Z, López-Cózar R (2008) Influence of contextual information in emotion annotation for spoken dialogue systems. Speech Commun 50:416–433CrossRef. 11. Cambria … Related articles All 8 versions

Investigation of ensemble models for sequence learning A Celikyilmaz, D Hakkani-Tur – 2015 IEEE International …, 2015 – ieeexplore.ieee.org … The user is expected to interact by voice with a spoken dialog system to perform a variety of tasks in relation to such media, including browsing, searching … [25] Erik FTK Sang and Fien De Meulder, “Introduction to the conll-2003 shared task: Language-independent named entity … Related articles All 8 versions

Semantic Parser for Sentiment Analysis and the Emotional Computer Agents A Kotov, A Zinina, A Filatov – fruct.org … distinguish syntactic and semantic levels of representation [1]. It is theoretically considered that semantic representation is language independent and should be … [15] AA Kotov, Application of d-script model to emotional dialogue simulation Affective Dialogue Systems, LNCS, vol. … Related articles

Learner corpora and natural language processing D Meurers – The Cambridge handbook of learner corpus research. …, 2015 – purl.org Page 1. Learner Corpora and Natural Language Processing Detmar Meurers Universität Tübingen Revision 8474 Core issues, notions, and methods Learner corpora collect the language produced by people learning their first or a second lan- guage. … Cited by 5 Related articles All 3 versions

Leveraging Twitter for Low-Resource Conversational Speech Language Modeling A Jaech, M Ostendorf – arXiv preprint arXiv:1504.02490, 2015 – arxiv.org … In this work, we describe simple language-independent methods for handling … ICASSP, vol. I, 2005, pp. 573–576. [9] K. Yoshino, S. Mori, and T. Kawahara, “Incorporating semantic infor- mation to selection of web texts for language model of spoken dialogue system,” in Acoustics … Related articles All 3 versions

Learning Components of Computational Models from Texts M McShane, S Nirenburg, B Jarrell… – … -OpenAccess Series in …, 2015 – drops.dagstuhl.de … The ontology is a formal model of the world that is organized as a multiple- inheritance hierarchical collection of frames headed by concepts (objects and events) that are named using language-independent labels [7] [15] [21]. It currently contains approximately 9,000 concepts. … Related articles All 6 versions

Using speaker adaptive training to realize Mandarin-Tibetan cross-lingual speech synthesis H Yang, K Oura, H Wang, Z Gan, K Tokuda – Multimedia Tools and …, 2015 – Springer … different languages with same or different speaker’s voice, it has been widely used in multi-lingual spoken dialogue systems especially in … To overcome degradation of voice quality caused by different language resources, a set of language independent models are proposed to … Cited by 3 Related articles All 3 versions

Sarcasm Detection in Social Media A Signhaniya, G Shenoy, R Kondekar – rohitkondekar.github.io … if important as it in turn will help in building better sentiment analyzers for review summarization, dialogue systems and review … They investigated super- vised machine learning methods for language independent sarcasm detection by using features such as Ngrams, Patterns … Related articles

Literature Review on the Verbalisation of OWL Ontologies in Afrikaans using Templates L SANBY – people.cs.uct.ac.za … GF is argued to be a good framework for implementing controlled natural languages because it has a language independent API, the grammar library, and bidirectional mapping between strings and … Knowledge and Reasoning in Practical Dialogue Systems, IJCAI 2003, 58-63. … Related articles

Speech Recognition in Indian Languages—A Survey M Sarma, KK Sarma – Recent Trends in Intelligent and Emerging Systems, 2015 – Springer … The Julius recognizer which is language independent was used for decoding. … where a spoken dialogue system is designed to use in agricultural commodities task domain using real-world speech data collected from two linguistically similar languages of India Hindi and Marathi … Related articles All 5 versions

Fundamentals Tools of Modern Multilingual Speech Processing Technology in “Urdu” langauage Speech Processing MW Ashfaque, QN Naveed, SS Banu, QSSA Ahmed – ijaiem.org … Feature extraction is typically considered a language independent process (ie, common feature extraction algorithms are used in most … According to past literature reviews, three applications including spoken dialogue systems, speech translation, and speaker recognition have … Related articles

Question Processing for Arabic Question Answering System HM Al Chalabi – 2015 – bspace.buid.ac.ae … applications was natural language database and front-ends. QA in human-machine dialogue was another area of primarily theoretical attention, where such dialogue systems have been built to assist researchers to understand the concepts of modelling the human dialogue. … Related articles

Telugu dependency parsing using different statistical parsers BVS Kumari, RR Rao – Journal of King Saud University-Computer and …, 2015 – Elsevier … relationships between words. Parsing is useful in major NLP applications like Machine Translation, Dialogue Systems, Question Answering, etc. This led to the development of grammar-driven, data-driven and hybrid parsers. Due to … Related articles

Towards an Automated Contact Centers (An Implementation of Artificial Intelligence and Text Mining techniques for CRM) MMI Sakre – ijser.org … It contains 2 Parts: an Internet multimedia dialogue system and a human agent assisting system. … 530-541. [30] Benajiba Y., Mona D., Rosso P. Using Language Independent and Language Specific Features to Enhance Arabic Named Entity Recognition. … Related articles

Information Retrieval by Linkage Discovery RS Segall, S Lu – 2015 – igi-global.com … increasingly important role in text-related research and applications in areas such as text mining, web page retrieval and dialogue systems. … of phrases, clauses, sentences and paragraphs to the level of the writing as a whole, to their language-independent meanings (Wikipedia … Related articles All 2 versions

Spoken term detection ALBAYZIN 2014 evaluation: overview, systems, results, and discussion J Tejedor, DT Toledano… – EURASIP …, 2015 – asmp.eurasipjournals.springeropen. … … their potential [78–81]. Language-independent and unsupervised training-based approaches have also been considered within this program aiming at building a system for an unknown language [82]. The limited data corresponding … Cited by 2 Related articles All 7 versions

Soft-Computational Techniques and Spectro-Temporal Features for Telephonic Speech Recognition: An Overview and Review of M Sharma, KK Sarma – Handbook of Research on Advanced …, 2015 – books.google.com … The four approaches are Gaussian Mixture Model classification (GMM), Language Independent Phoneme recognition followed by Language-dependent Language … which makes the proposed solution a feasible one with addition to the existing spoken dialogue systems such as … Related articles All 3 versions

Tourism Portal VR Daggubati, Y Wang, L Koneru – 2015 – opus.govst.edu … alternatives. 2. Questions – answer type dialog system where the computer asks question and takes action based on the basis of the users reply. … the Web. ASP.NET is also language-independent, so you can choose the language that best applies …

[BOOK] Language Identification Using Excitation Source Features KS Rao, D Nandi – 2015 – Springer … Some of the topics covered in this series include the presentation of real life commercial deployment of spoken dialog systems, contemporary methods of speech parameterization, developments in information security for automated speech, forensic speaker recognition, use … Related articles All 6 versions

Data-driven deep-syntactic dependency parsing M BALLESTEROS, B BOHNET… – Natural Language …, 2015 – Cambridge Univ Press Page 1. Natural Language Engineering: page 1 of 36. c Cambridge University Press 2015 doi:10.1017/S1351324915000285 1 Data-driven deep-syntactic dependency parsing† MIGUEL BALLESTEROS1, BERND BOHNET2 … Cited by 2 Related articles All 3 versions

Improving Telugu Dependency Parsing using Combinatory Categorial Grammar Supertags B Kumari, RR Rao – ACM Transactions on Asian and Low-Resource …, 2015 – dl.acm.org … Parsing is useful in major natural language processing applications like machine translation, word sense disambiguation, dialog systems, etc. … 2007b. MaltParser: A language-independent system for data-driven depen- dency parsing. Natural Lang. Engin. 13, 2, 95–135. … Related articles

A Linguistics Study of New Trends in Translation as a Speech to Act RS Jabbar – Citeseer … Transfer approach is much more preferable to Interlingua approach for two reasons: First ,the difficulty of devising language-independent representations; and … view, a speech-to-text system can be categorized based in its use: command and control, dialog system, text dictation … Related articles All 3 versions

Natural Language Processing Research with NAO Robots J De Smedt – scriptiebank.be … Datasheet ….. 128 Appendix IV: A frame-based Dialogue System ….. 131 Appendix V: An Event-based Dialogue System ….. 132 Appendix … Related articles

Coreference Applications to Summarization J Steinberger, M Kabadjov, M Poesio – cswww.essex.ac.uk Page 1. Chapter 15 Coreference Applications to Summarization Josef Steinberger, Mijail Kabadjov, and Massimo Poesio Abstract In this chapter we discuss the connection between anaphora/coreference resolution and summarization. … Related articles All 5 versions

Secured Client Portal K Mogili, R Thippireddy, S Tula – 2015 – opus.govst.edu Page 1. Governors State University OPUS Open Portal to University Scholarship All Capstone Projects Student Capstone Projects Fall 2015 Secured Client Portal Krishnakar Mogili Governors State University Rajitha Thippireddy Governors State University …

[BOOK] Advanced Applications of Natural Language Processing for Performing Information Extraction MJF Rodrigues, AJ da Silva Teixeira – 2015 – Springer … Some of the topics covered in this series include the presentation of real life com- mercial deployment of spoken dialog systems, contemporary methods of speech parameterization, developments in information security for automated speech, forensic speaker recognition, use … Related articles All 4 versions

The Effects of Morphological Features in Delexicalized Parser Transfer between Czech and Tamil K Shanmugam – researchgate.net … words. Janarthanam et al. [2007] proposed a dependency parser to parse natural language utterances for a Tamil spoken dialog system. The parser uses a PC-Kimmo-based morphological Page 28. 10 2 Literature Review analyzer …

Semantic similarity from natural language and ontology analysis S Harispe, S Ranwez, S Janaqi… – Synthesis Lectures on …, 2015 – morganclaypool.com … Semantic Role Labeling Martha Palmer, Daniel Gildea, and Nianwen Xue 2010 Spoken Dialogue Systems Kristiina Jokinen and Michael McTear 2009 Introduction to Chinese Natural Language Processing Kam-Fai Wong, Wenjie Li, Ruifeng Xu, and Zheng-sheng Zhang 2009 … Cited by 12 Related articles All 6 versions

AidSLT: A Spoken Language Translation Tool for Data Collection in Humanitarian Settings A Armando – 2015 – archive-ouverte.unige.ch Page 1. Master Reference AidSLT : A Spoken Language Translation Tool for Data Collection in Humanitarian Settings ARMANDO, Alejandro Abstract This master’s dissertation is concerned with the development and evaluation … Related articles

Multitask learning of deep neural networks for low-resource speech recognition D Chen, BKW Mak – IEEE/ACM Transactions on Audio, Speech, …, 2015 – ieeexplore.ieee.org … For example, [37] applies MTL on a single convolutional neural network to produce state-of-the-art performance for several language processing predictions; [38] improves intent classification in goal-oriented human-machine spoken dialog systems which is particularly … Cited by 2 Related articles All 4 versions

Efficient Setup of Acoustic Models for Large Vocabulary Continuous Speech Recognition DIC Gollan, IH Ney, PDDL Lamel – publications.rwth-aachen.de Page 1. Efficient Setup of Acoustic Models for Large Vocabulary Continuous Speech Recognition Von der Fakultät für Mathematik, Informatik und Naturwissenschaft en der RWTH Aac hen University zur Erlangung des akademischen Grades eines … Related articles

Analysis of human lip features: a review N Rathee, D Ganotra – International Journal of Applied …, 2015 – inderscienceonline.com Page 1. Int. J. Applied Systemic Studies, Vol. 6, No. 2, 2015 137 Copyright © 2015 Inderscience Enterprises Ltd. Analysis of human lip features: a review Neeru Rathee University School of Engineering and Technology, Guru Gobind Singh Inder Prastha University, sec. … Related articles

[BOOK] Non-Linguistic Analysis of Call Center Conversations SK Kopparapu – 2015 – Springer Page 1. SPRINGER BRIEFS IN ELECTRICAL AND COMPUTER ENGINEERING Sunil Kumar Kopparapu Non-Linguistic Analysis of Call Center Conversations Page 2. SpringerBriefs in Electrical and Computer Engineering Page 3. … Cited by 1 Related articles All 6 versions

Grammatical Inference for Computational Linguistics J Heinz, C De la Higuera… – Synthesis Lectures on …, 2015 – morganclaypool.com … Semantic Role Labeling Martha Palmer, Daniel Gildea, and Nianwen Xue 2010 Spoken Dialogue Systems Kristiina Jokinen and Michael McTear 2009 Introduction to Chinese Natural Language Processing Kam-Fai Wong, Wenjie Li, Ruifeng Xu, and Zheng-sheng Zhang 2009 … Cited by 2 Related articles All 5 versions

The Self-taught Speech Interface B Ons – 2015 – lirias.kuleuven.be … standard speech. Our approach is language independent since we aim to develop a vocal user interface (VUI) that learns the meaning, the grammars, the words and the vocalizations of the user. 3 Page 26. 4 INTRODUCTION The … Related articles

Spoken content retrieval—beyond cascading speech recognition with text retrieval L Lee, J Glass, H Lee, C Chan – IEEE/ACM Transactions on …, 2015 – ieeexplore.ieee.org Page 1. IEEE/ACM TRANSACTIONS ON AUDIO, SPEECH, AND LANGUAGE PROCESSING, VOL. 23, NO. 9, SEPTEMBER 2015 1389 Spoken Content Retrieval—Beyond Cascading Speech Recognition with Text Retrieval … Cited by 4 Related articles All 6 versions

Combining multiple parallel streams for improved speech processing JTR de Sousa Miranda – 2015 – l2f.inesc-id.pt … retrieval engine to locate the most relevant documents. • Spoken dialog systems [82, 54] may collaborate with a user in spoken language to com- plete a certain task. … their hands free, dialog systems can be more natural and efficient than other interfaces. … Related articles All 2 versions

Spoken Term Detection and Spoken Word Sense Induction on Noisy Data J Chiu – 2015 – cs.cmu.edu … 11 2.1.1 Word Recurrence in Dialogue Systems . . . . . … 2.1.1 Word Recurrence in Dialogue Systems (Barnett, 1973) propose the “Thematic Memory” as the content-word equivalent of the user-state syntax model. … Related articles

[BOOK] Ultra Low Bit-Rate Speech Coding V Ramasubramanian, H Doddala – 2015 – Springer … Some of the topics covered in this series include the presentation of real life commercial deployment of spoken dialog systems, contemporary methods of speech parameterization, developments in informa- tion security for automated speech, forensic speaker recognition, use … Cited by 1 Related articles All 10 versions