SMT (Statistical Machine Translation) & Dialog Systems 2015


Statistical Machine Translation

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100 Best GitHub: Machine TranslationRBMT (Rule-Based Machine Translation) & Dialog Systems


Neural responding machine for short-text conversation L Shang, Z Lu, H Li – arXiv preprint arXiv:1503.02364, 2015 – arxiv.org … 2007. Moses: Open source toolkit for statistical machine translation. In Proceedings of the 45th annual meeting of the ACL on interactive poster and demonstration sessions, pages 177–180. ACL. … 2000. Njfun: a reinforce- ment learning spoken dialogue system. … Cited by 47 Related articles All 12 versions

A neural network approach to context-sensitive generation of conversational responses A Sordoni, M Galley, M Auli, C Brockett, Y Ji… – arXiv preprint arXiv: …, 2015 – arxiv.org … state tracking (Young et al., 2010), and user modeling (Georgila et al., 2006), many compo- nents of typical dialog systems remain hand … systems evaluated in this pa- per are parameterized as log-linear models in a frame- work typical of statistical machine translation (Och and … Cited by 40 Related articles All 15 versions

The ubuntu dialogue corpus: A large dataset for research in unstructured multi-turn dialogue systems R Lowe, N Pow, I Serban, J Pineau – arXiv preprint arXiv:1506.08909, 2015 – arxiv.org … Similar progress has not yet been observed in the development of dialogue systems. … Work on unstructured dialogues, recently pi- oneered by Ritter et al. [21], proposed a re- sponse generation model for Twitter data based on ideas from Statistical Machine Translation. … Cited by 16 Related articles All 12 versions

A diversity-promoting objective function for neural conversation models J Li, M Galley, C Brockett, J Gao, B Dolan – arXiv preprint arXiv: …, 2015 – arxiv.org … 2 Related work Earlier efforts to incorporate statistical methods into dialog systems typically relied on one of two ap- proaches. … (2011), who framed the response generation task as a statistical machine translation (SMT) prob- lem in which message-response phrase alignments … Cited by 21 Related articles All 5 versions

Bilingual continuous-space language model growing for statistical machine translation R Wang, H Zhao, BL Lu, M Utiyama… – IEEE/ACM Transactions …, 2015 – ieeexplore.ieee.org … Growing for Statistical Machine Translation Rui Wang, Hai Zhao ? , Bao-Liang Lu, Senior Member, IEEE, Masao Utiyama and Eiichiro Sumita Abstract—Larger n-gram Language Models (LMs) perform better in Statistical Machine Translation (SMT). … Cited by 9 Related articles All 7 versions

Advances in natural language processing J Hirschberg, CD Manning – Science, 2015 – science.sciencemag.org … Spoken dialogue systems and conversational agents. … Spoken dialogue systems (SDSs) also allow robots to help people with simple manual tasks [eg, Manuela Veloso’s CoBots (16)] or provide therapy for less-abled persons [eg, Maja Mataric’s socially assistive robots (17)]. … Cited by 15 Related articles All 9 versions

deltaBLEU: A discriminative metric for generation tasks with intrinsically diverse targets M Galley, C Brockett, A Sordoni, Y Ji, M Auli… – arXiv preprint arXiv: …, 2015 – arxiv.org … In Statistical Machine Translation (SMT), the automation problem has to a large extent been ame- liorated by metrics such as BLEU (Papineni et al … to attract inter- est (Ritter et al., 2011; Sordoni et al., 2015) as an alternative to conventional rule-driven or scripted dialog systems. … Cited by 13 Related articles All 8 versions

Using recurrent neural networks for slot filling in spoken language understanding G Mesnil, Y Dauphin, K Yao, Y Bengio… – … on Audio, Speech, …, 2015 – ieeexplore.ieee.org Page 1. 2329-9290 (c) 2013 IEEE. Personal use is permitted, but republication/ redistribution requires IEEE permission. See http://www.ieee.org/ publications_standards/publications/rights/index.html for more information. This … Cited by 47 Related articles All 16 versions

Hierarchical neural network generative models for movie dialogues IV Serban, A Sordoni, Y Bengio, A Courville… – arXiv preprint arXiv: …, 2015 – arxiv.org … Dialogue systems, also known as interactive con- versational agents, virtual agents and sometimes chatterbots, are used in a wide set of applications ranging from technical support services to lan- guage learning tools and entertainment (Young et al., 2013; Shawar and Atwell … Cited by 14 Related articles All 4 versions

A survey of available corpora for building data-driven dialogue systems IV Serban, R Lowe, L Charlin, J Pineau – arXiv preprint arXiv:1512.05742, 2015 – arxiv.org … where at is the dialogue system response action at time t, and ? is the set of parameters which defines f. Rule-based … Hybrid or combined models, such as the model built on both a phrase-based statistical machine translation system and a recurrent neural network proposed by … Cited by 8 Related articles All 2 versions

Data-driven sentence generation with non-isomorphic trees M Ballesteros, B Bohnet, S Mille… – Proceedings of the 2015 …, 2015 – academia.edu Page 1. See discussions, stats, and author profiles for this publication at: https://www.researchgate. net/publication/279193234 Data-driven sentence generation with non- isomorphic trees CONFERENCE PAPER · MAY 2015 CITATION 1 READS 25 4 AUTHORS: … Cited by 9 Related articles All 9 versions

Attention with Intention for a Neural Network Conversation Model K Yao, G Zweig, B Peng – arXiv preprint arXiv:1510.08565, 2015 – arxiv.org … Fast and robust neural network joint models for statistical machine translation. In ACL, 2014. [7] BJ Grosz and CL Sidner. … In INTERSPEECH, 2015. [18] S. Young, M. Gasic, B. Thomson, and JD Williams. POMDP-based statistical spoken dialog systems: A review. … Cited by 8 Related articles All 3 versions

Bringing machine learning and compositional semantics together P Liang, C Potts – Annu. Rev. Linguist., 2015 – annualreviews.org Cited by 15 Related articles All 4 versions

Neural generative question answering J Yin, X Jiang, Z Lu, L Shang, H Li, X Li – arXiv preprint arXiv:1512.01337, 2015 – arxiv.org … dialogue models often emphasize on generating relevant and fluent responses in natural language in a conver- sation [5, 6]. Recent progress in neural dialogue system has raised … Learning phrase representations using rnn encoder-decoder for statistical machine translation. … Cited by 5 Related articles All 4 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 … 137 Zenun Kastrati, Sule Yildirim Yayilgan, and Ali Shariq Imran NADIA: A Simplified Approach Towards the Development of Natural Dialogue Systems….. … 390 Bastian Entrup Optimized Uyghur Segmentation for Statistical Machine Translation….. … Cited by 2 Related articles

Linguistic individuality transformation for spoken language M Mizukami, G Neubig, S Sakti, T Toda… – … Dialog Systems and …, 2015 – Springer … addition, by focusing not on personality, but individuality, we are able to cover applications such as the previously mentioned dialogue system mimicking a famous character. We propose the probabilistic framework for transforming individuality like statistical machine translation. … Cited by 2 Related articles All 10 versions

New transfer learning techniques for disparate label sets YB Kim, K Stratos, R Sarikaya, M Jeong – ACL. Association for …, 2015 – aclweb.org Page 1. Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing, pages 473–482, Beijing, China, July 26-31, 2015. cO2015 Association for Computational Linguistics … Cited by 7 Related articles All 9 versions

Evaluating machine translation systems with second language proficiency tests T Matsuzaki, A Fujita, N Todo, NH Arai – Proc. of ACL, 2015 – pdfs.semanticscholar.org … In Proceedings of the Joint 5th Work- shop on Statistical Machine Translation and Metric- sMATR, pages 17–53. Hideki Isozaki, Tsutomu Hirao, Kevin Duh, Katsuhito Sudoh, and Hajime Tsukada. … Comparing intrinsic and extrinsic evalu- ation of mt output in a dialogue system. … Cited by 1 Related articles All 7 versions

Adequacy–fluency metrics: Evaluating MT in the continuous space model framework RE Banchs, LF D’Haro, H Li – IEEE/ACM Transactions on Audio, …, 2015 – ieeexplore.ieee.org … campaigns over the last few years: the NIST Metrics for Machine Translation Challenge2 (MetricsMATR) and the Workshop on Statistical Machine Translation3 The dataset used in the experimental part of this work corresponds to the dataset of the 2007’s edition of WMT. … Cited by 6 Related articles All 3 versions

Listen, attend, and walk: Neural mapping of navigational instructions to action sequences H Mei, M Bansal, MR Walter – arXiv preprint arXiv:1506.04089, 2015 – arxiv.org Page 1. Listen, Attend, and Walk: Neural Mapping of Navigational Instructions to Action Sequences Hongyuan Mei Mohit Bansal Matthew R. Walter Toyota Technological Institute at Chicago Chicago, IL 60637 {hongyuan,mbansal,mwalter}@ttic.edu … Cited by 5 Related articles All 8 versions

Conversational system for information navigation based on POMDP with user focus tracking K Yoshino, T Kawahara – Computer Speech & Language, 2015 – Elsevier … WikiTalk (Wilcock, 2012 and Wilcock and Jokinen, 2013) is a dialogue system that talks about topics in Wikipedia. … A data-driven approach based on phrase-based statistical machine translation (SMT) (Ritter et al., 2011) tries to train response generation from micro-blog data. … Cited by 2 Related articles All 3 versions

Big Data–Driven Natural Language–Processing Research and Applications V Gudivada, D Rao, V Raghavan – Big Data Analytics, 2015 – books.google.com … These results are used in other tasks such as co-reference resolution, word-sense disambiguation, semantic parsing, question answering, dialog systems, textual entailment, information extraction, information retrieval, and text summarization. … Cited by 3 Related articles

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. … 1 . 3 : Automatic Metric for Reliable Optimization and Evaluation of Machine Translation Systems,” in 6th Workshop on Statistical Machine Translation, 2011, pp. … Cited by 1 Related articles All 4 versions

Helping Domain Experts Build Phrasal Speech Translation Systems M Rayner, A Armando, P Bouillon, S Ebling… – … Workshop on Future …, 2015 – Springer … 12. Fuchs, M., Tsourakis, N., Rayner, M.: A scalable architecture for web deployment of spoken dialogue systems. … Su, HY, Wu, CH: Improving structural statistical machine translation for sign language with small corpus using thematic role templates as translation memory. … Cited by 1 Related articles All 6 versions

Detecting content-heavy sentences: A cross-language case study JJ Li, A Nenkova – Proceedings of EMNLP, 2015 – aclweb.org … With the introduction of the concept of content-heavy sentences, we can envision dialog systems addressing the sentence realization task in two steps, first predicting if the semantic content will require multiple sentences, then having different rankers for expressing the content … Cited by 1 Related articles All 10 versions

From spoken language to ontology-driven dialogue management D Mouromtsev, L Kovriguina, Y Emelyanov… – … Conference on Text, …, 2015 – Springer … and paraphrasing improve performance of the dialogue system[8]. While developing the prototype of our dialogue system, we encountered … performance has already been evaluated[9]. A pivot method to generate paraphrases is to use statistical machine translation tech- niques … Cited by 3 Related articles All 3 versions

Language detection and translation using n-gram and statistical machine translation approach S Tahasildar – 2015 – academia.edu … Slovak Republic olvecky@stonline.sk [4] Statistical Machine Translation ADAM LOPEZ University of Edinburgh [5] Statistical Machine Translation Ph.D … N. Minematsu, “Realization of concept-to-speech conversion for reply speech generation in a spoken dialogue system of road … Related articles

Machine Learning for Language Processing Lecture 1: Classification S Clark – 2015 – cl.cam.ac.uk … COLING 1988 submission re- ferred to on the slide is the original conference paper describing IBM’s approach to statistical machine translation, which is now … Here, the problem is to learn a dialogue system which knows how to respond to utterances from the user, for example in … Related articles

English to Japanese spoken lecture translation system by using DNN-HMM and phrase-based SMT N Goto, K Yamamoto… – … : Concepts, Theory and …, 2015 – ieeexplore.ieee.org … keywords–automatic speech recognition; statistical machine translation; classroom lecture; DNN-HMM; phrase-based trans- lation … Lectures tend to have broader topics than such speech translation tasks as spoken dialog systems for travel assistance [1]. Various speaking … Related articles All 2 versions

Morphological Modeling for Machine Translation of English-Iraqi Arabic Spoken Dialogs K Kirchhoff, W Tam, C Richey, W Wang – aclweb.org … of our procedure we computed the decoding speed of the MT component in the dialog system for both the baseline and the morpho-tag systems. … 2014. Fast and robust neural network joint models for statistical machine translation. In Proceed- ings of ACL, pages 1370–1380. … Related articles All 5 versions

Building an English-Filipino Tourism Corpus and Lexicon for an ASEAN Language Translation System CS Ponay, CK Cheng – academia.edu … Having this in mind, building an English-Tagalog travel corpus and lexicon for a statistical machine translation system such as the ASEAN-MT, will … and events, profiles of provinces and tourist attractions in the Philippines, one can use this data to build a dialogue system that will … Related articles All 2 versions

Using Ontology-Based Context in the Portuguese-English Translation of Homographs in Textual Dialogues D Moussallem, R Choren – arXiv preprint arXiv:1510.01886, 2015 – arxiv.org … sentence the method would result as a statistical machine translation pattern having in seen the example provided by author. At realize a supposition as would be an implementation of solution propose by Harriehausen- Muhlbauer [11] in a dialogue system, the critics … Related articles All 6 versions

Exploiting Out-of-Domain Data Sources for Dialectal Arabic Statistical Machine Translation K Kirchhoff, B Zhao, W Wang – arXiv preprint arXiv:1509.01938, 2015 – arxiv.org … Statistical machine translation for dialec- tal Arabic is characterized by a lack of data since data acquisition involves the transcrip- tion and translation of … the evaluation system developed for a bilingual dialog system, and tested the system on additional in-domain data sets. … Related articles All 3 versions

A MOOC on Approaches to Machine Translation MR Costa-jussà, L Formiga, O Torrillas, J Petit… – … International Review of …, 2015 – irrodl.org … the Statistical Machine Translation book (Koehn, 2010) and the survey of Linguistics applied to Statistical Machine Translation (Costa-Jussà & … Francesc Vallverdú; our external collaborators were Meritxell González (MT Evaluation and Dialog Systems) and Jordi Petit (Software … Related articles All 6 versions

Error-Tolerant Speech-to-Speech Translation R Kumar, S Hewavitharana, N Zinovieva… – Proceedings of MT …, 2015 – academia.edu … Statistical Machine Translation: Our SMT system is based on the state-of-the-art, string-to- string hierarchical decoder described in … Application of interactive error recovery have been investigated for multiple spoken language technologies including spoken dialog systems [18][19 … Related articles

Machine-Learned Ranking Based Non-Task-Oriented Dialogue Agent Using Twitter Data M Koshinda, M Inaba… – 2015 IEEE/WIC/ACM …, 2015 – ieeexplore.ieee.org … proposed a method of generating responses based on the statistical machine translation[9]. Sugiyama et al. … [3] M. Inaba, S. Kamizono, and K. Takahashi, ”Candidate Utterance Acqui- sition Method for Non-task-oriented Dialogue Systems from Twitter,” Transactions of the … Related articles

VazaBarris and Poxim Corpora: Augmenting NLP Software Ability to Deal with Informal Brazilian Portuguese F Santos, N Silva, L Barbosa, T Bispo, CM Junior… – corpora – lbd.dcc.ufmg.br Page 1. VazaBarris and Poxim Corpora: Augmenting NLP Software Ability to Deal with Informal Brazilian Portuguese Flávio Santos Departamento de Computação Universidade Federal de Sergipe São Cristóvão, Sergipe Email: flavioarthurufs@gmail.com … Related articles All 2 versions

Constructive Feedback, Thinking Process and Cooperation: Assessing the Quality of Classroom Interaction T Sousa, L Flekova, M Mieskes… – … Annual Conference of …, 2015 – ukp.tu-darmstadt.de … mond, “Intrinsic and extrinsic evaluation of an automatic user disengagement detector for an uncertainty-adaptive spoken dialogue system,” in Proceedings … Y. Zhang, F. Huang, A. Tribble, A. Venugopal, B. Zhao, and A. Waibel, “The CMU Statistical Machine Translation Sys- tem … Related articles All 4 versions

State of the Research in Human Language Technology K Megerdoomian – Citeseer … All analyses suggest that in the field as seen through ACL and NAACL publications, statistical machine translation (SMT) dominates, and it … Another trend is the use of discourse analytics, especially in dialogue systems and Automatic Speech Recognition (ASR) applications. … Related articles All 5 versions

Stochastic Language Generation Using Situated PCFGs C Yuan, X Wang, Z Zhong – … on Natural Language Processing and Chinese …, 2015 – Springer … Speech and Language 16(3–4), 435–455 (2002) 9. Rieser, E., Lemon, O.: Natural language generation as planning under uncertainty for spoken dialogue systems. … Wong, YW, Mooney, R.: Generation by inverting a semantic parser that uses statistical machine translation. … Related articles

Learning to Process Natural Language in Big Data Environment H Li – 2015 – hangli-hl.com … Devlin et al., Fast and robust neural network joint models for statistical machine translation. ACL 2014 Page 27. CNN based Joint Language Model … al., ACL-IJCNLP 2015) Page 33. Natural Language Dialogue System – Retrieval based Approach index of messages … Related articles All 3 versions

System Utterance Generation by Label Propagation over Association Graph of Words and Utterance Patterns for Open-Domain Dialogue Systems HTK Uchiumi – 2015 – bcmi.sjtu.edu.cn … This shows our method is especially su- perior in generating interesting and informative ut- terances compared to the baseline dialogue system. … There is a statistical machine translation modeling for generating chat responses to the user utterances (Ritter et al., 2011). … Related articles All 8 versions

An Auto-Encoder for Learning Conversation Representation Using LSTM X Zhou, B Hu, Q Chen, X Wang – International Conference on Neural …, 2015 – Springer … 374 (2000)CrossRef. 4. Rieser, V., Lemon, O.: Natural language generation as planning under uncertainty for spoken dialogue systems. … D., Bougares, F., Schwenk, H., Bengio, Y.: Learning phrase representations using RNN encoder-decoder for statistical machine translation. … Related articles

”Speech is silver, but silence is golden”: improving speech-to-speech translation performance by slashing users input F Bechet, B Favre, M Rouvier – 2015 – Citeseer … ASR) and Machine Translation (MT) errors have the same impact on the usability of a given speech-to-speech dialog system: some can be … [6] E. Matusov, S. Kanthak, and H. Ney, “On the integration of speech recognition and statistical machine translation.” in INTERSPEECH … Cited by 1 Related articles All 7 versions

Statistical Response Method and Learning Data Acquisition using Gamified Crowdsourcing for a Non-task-oriented Dialogue Agent Y Enokibori, K Takahashi, K Mase – … 2014, Angers, France, March 6-8, …, 2015 – Springer … A response method based on statistical machine translation [10] has been proposed. … Speech Commun. 15 (3–4), 331–340 (1994) 2. Chu-Carroll, J., Nickerson, JS: Evaluating automatic dialogue strategy adaptation for a spoken dialogue system. … Related articles All 2 versions

Box: Natural Language Processing Research Using Amazon Web Services A Axelrod – The Prague Bulletin of Mathematical Linguistics, 2015 – degruyter.com … There are many open- source tools that each perform one NLP-related task well, such as speech recognition, optical character recognition, text-to-speech, dialog systems, and so on. … Data Selection for Statistical Machine Translation. PhD thesis, University of Washington, 2014. … Cited by 1 Related articles All 5 versions

Perspectives on Intelligent Systems Support for Multidisciplinary Medical Teams S Luz, B Kane, J Su, S Luz, F Haider, L Cerrato… – AAAI Spring …, 2015 – scss.tcd.ie … and Luz, Saturnino }, title = {Comparing Intrinsic and Extrinsic Evaluation of MT Output in a Dialogue System}, booktitle = {Proceedings of … author = {Saturnino Luz}, title = {Review of “{Syntactic discriminative language model rerankers for statistical machine translation, by Carter … All 4 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….. … 497 Zden?k Hanzlí?ek Adding Multilingual Terminological Resources to Parallel Corpora for Statistical Machine Translation Deteriorates System Performance: A Negative …

Topics, Trends, and Resources in Natural Language Processing (NLP) M Bansal – Citeseer Page 1. Topics, Trends, and Resources in Natural Language Processing (NLP) Mohit Bansal TTI-Chicago (CSC2523, ‘Visual Recognition with Text’, UToronto, Winter 2015 – 01/21/2015) (various slides adapted/borrowed from Dan Klein’s and Chris Manning’s course slides) … Related articles All 2 versions

Dialogue Act Recognition for Text-based Sinhala S Palihakkara, D Sahabandu, A Shamsudeen… – ltrc.iiit.ac.in … In Proceedings of the EACL-03 Workshop on Dialogue Systems: Interaction, Adaptation and Styles of Management, pages 69– 78. Okampitiye Pannasara and V. Arachchi. 2011. … 2010. Statistical machine translation of systems for Sinhala-Tamil. … Related articles

Text, Speech, and Dialogue P Král, V Matoušek – Springer … 131 Renáta Myšková and Petr Hájek Topic Classifier for Customer Service Dialog Systems….. … 497 Zden?k Hanzlí?ek Adding Multilingual Terminological Resources to Parallel Corpora for Statistical Machine Translation Deteriorates System Performance: A Negative …

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….. … 390 Bastian Entrup Optimized Uyghur Segmentation for Statistical Machine Translation….. …

High-level methodologies for grammar engineering, introduction to the special issue D Duchier, Y Parmentier – Journal of Language Modelling, 2015 – jlm.ipipan.waw.pl … 2004), dialogue systems (Foster et al. … Alexandra Birch, Miles Osborne, and Philipp Koehn (2007), CCG Supertags in Factored Statistical Machine Translation, in Proceedings of the Second Workshop on Statistical Machine Translation, pp. … Related articles All 4 versions

Methods for Automatic Generation of GRAALAN-based Phonetic Databases ?S Diaconescu, MM Rizea, FC Codîrla?u… – Speech Technology …, 2015 – softwinresearch.ro … here that recent approaches used for automatically creating phonetic transcriptions also apply statistical machine translation (SMT) principles. … CS Petrea and D. Ghelmez-Hane?, “Spontaneous Speech Recognition for Romanian in Spoken Dialogue Systems”, Proceedings of … Related articles All 4 versions

Multi-word unit processing in machine translation J Monti – 2015 – elea.unisa.it … MWUs in a monolingual or bilingual setting, alignment and paraphrasing methodologies, development, features and usefulness of handcrafted monolingual and bilingual linguistic resources and grammars and the use of MWUs in Statistical Machine Translation (SMT) domain … Related articles All 2 versions

Analogical Reasoning for Natural to Formal Language Transfer V Letard, S Rosset, G Illouz – Tools with Artificial Intelligence ( …, 2015 – ieeexplore.ieee.org Page 1. Analogical Reasoning for Natural to Formal Language Transfer Vincent Letard1,2, Sophie Rosset1 and Gabriel Illouz1,2 1LIMSI CNRS, Orsay, France 2Université Paris Sud, Orsay, France firstname.lastname@limsi.fr … Cited by 1 Related articles All 2 versions

Integrating natural language processing with image document analysis: what we learned from two real-world applications J Chen, H Cao, P Natarajan – International Journal on Document Analysis …, 2015 – Springer Related articles All 3 versions

Applying deep learning to answer selection: A study and an open task M Feng, B Xiang, MR Glass, L Wang… – 2015 IEEE Workshop …, 2015 – ieeexplore.ieee.org … ken Question Answering System 1. INTRODUCTION Natural language understanding based spoken dialog system has been a popular topic in the past years of artificial intelli- gence renaissance. Many of those influential systems … Cited by 10 Related articles All 4 versions

A robust spoken Q&A system with scarce in-domain resources LF D’Haro, S Kim, RE Banchs – 2015 Asia-Pacific Signal and …, 2015 – ieeexplore.ieee.org … “Which ASR should I choose for my dialogue system,” In Proceedings of the 14th annual SIGdial Meeting on Discourse and Dialogue, pp. … “KenLM: Faster and smaller language model queries,” In Proceedings of the Sixth Workshop on Statistical Machine Translation, ACL. … Related articles All 2 versions

Fundamentals Tools of Modern Multilingual Speech Processing Technology in “Urdu” langauage Speech Processing MW Ashfaque, QN Naveed, SS Banu, QSSA Ahmed – ijaiem.org … One of the most important developments has been the rise of statistical machine translation that has resulted in substantial … According to past literature reviews, three applications including spoken dialogue systems, speech translation, and speaker recognition have been … Related articles

Topic identification techniques applied to dynamic language model adaptation for automatic speech recognition JD Echeverry-Correa, J Ferreiros-López… – Expert Systems with …, 2015 – Elsevier … such as in information retrieval systems as part of the ranking function (Zhai, 2008), in spoken dialogue systems for adapting … Continuous Speech Recognition Systems (LVCSR) (Gollan et al., 2005 and Saon and Chien, 2012) and in Statistical Machine Translation for creating … Related articles All 4 versions

A Complete Bibliography of ACM Transactions on Asian Language Information Processing NHF Beebe – 2015 – tug.ctan.org … Kim:2003:RRE [37] Harksoo Kim and Jungyun Seo. Resolution of referring expressions in a Korean multimodal dialogue system. ACM Transactions on Asian Lan- guage Information Processing, 2(4):324–337, December 2003. CODEN ???? … Related articles All 9 versions

Learning task knowledge from dialog and web access V Perera, R Soetens, T Kollar, M Samadi, Y Sun… – Robotics, 2015 – mdpi.com … With KnoWDiaL we contribute a dialog system that is efficient in terms of required user interaction and robust in terms of speech recognition and parsing errors. We handle knowledge in a probabilistic manner, representing uncertainty with probability distributions. … Cited by 3 Related articles All 6 versions

Text Based Emotion Recognition: A Survey CR Chopade – ijsr.net … The emotion recognition system should be applied in different kinds of the Human computer interaction systems, such as dialogue systems, automatic answering systems and human robots etc. … (2009) Investigating SMS Text Normalization using Statistical Machine Translation. … Related articles

Natural Language Understanding and Prediction Technologies N Duta – ijcai15.org Page 1. 1 IJCAI 2015 Tutorial Nicolae Duta Cloud ML @ Microsoft Natural Language Understanding and Prediction Technologies Page 2. 2 IJCAI 2015 Tutorial Outline •Voice and language technologies: history, examples and technological challenges … Related articles All 2 versions

Exploiting structured human interactions to enhance estimation accuracy in cyber-physical systems Y Gao, S Hu, R Mancuso, H Wang, M Kim… – Proceedings of the …, 2015 – dl.acm.org Page 1. Exploiting Structured Human Interactions to Enhance Estimation Accuracy in Cyber-physical Systems Yunlong Gao1, Shaohan Hu1, Renato Mancuso1, Hongwei Wang1, Minje Kim1, PoLiang Wu1, Lu Su2, Lui Sha1 … Related articles All 10 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 …

Automatic ontology generation from patents using a pre-built library, WordNet and a class-based n-gram model Z Li, D Tate – International Journal of Product Development, 2015 – inderscienceonline.com … address the problem more effectively. Typical applications of NLP include information retrieval, information extraction, question answering, machine translation, summarisation and dialogue systems. The application of NLP techniques … Cited by 3 Related articles

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

A syntactic component for Vietnamese language processing P Le-Hong, A Roussanaly… – Journal of Language …, 2015 – hal.archives-ouvertes.fr Page 1. A syntactic component for Vietnamese language processing Phuong Le-Hong, Azim Roussanaly, Thi Minh Huen Nguyen To cite this version: Phuong Le-Hong, Azim Roussanaly, Thi Minh Huen Nguyen. A syntactic component for Viet- namese language processing. … Cited by 4 Related articles All 6 versions

Chinese spelling checker based on an inverted index list with a rescoring mechanism JF Yeh, WY Chen, MC Su – ACM Transactions on Asian and Low- …, 2015 – dl.acm.org … 2013] as well as technologies for statistical machine translation [Liu et al. 2013; Chiu et al. … 2013] Memory based [Carlson and Fette 2007] Statistical machine translation Unsupervised Relation Extraction [Remus 2014] [Liu et al. 2013; Chiu et al. … Cited by 1 Related articles

Unsupervised and phonologically controlled interpolation of Austrian German language varieties for speech synthesis M Toman, M Pucher, S Moosmüller, D Schabus – Speech Communication, 2015 – Elsevier … This procedure is described in detail in Section 6. The developed interpolation methods have possible applications in spoken dialog systems where we aim to adapt speech output to the user of the dialog system. As soon as … Cited by 2 Related articles All 4 versions

SENSEI Coordinator M Kabadjov, EA Stepanov, F Celli, SA Chowdhury… – sensei-conversation.eu … Consequently, the range of applications of DA analysis is quite wide and includes conversa- tion summarization (both spoken and written), dialogue systems, etc.; and DAs have been extensively studied in both theoretical and computational linguistics. … Related articles

Robust Natural Language Processing for Urban Trip Planning J Booth, B Di Eugenio, IF Cruz… – Applied Artificial …, 2015 – Taylor & Francis … Gruenstein, A., and S. Seneff. 2007. Releasing a multimodal dialogue system into the wild: User support mechanisms. … 200558. Raux, A., B. Langner, D. Bohus, AW Black, and M. Eskenazi. 2005. Let’s go public! Taking a spoken dialog system to the real world. … Related articles All 8 versions

Decoupling word-pair distance and co-occurrence information for effective long history context language modeling TY Chong, RE Banchs, ES Chng… – IEEE/ACM Transactions …, 2015 – ieeexplore.ieee.org Page 1. 2329-9290 (c) 2015 IEEE. Personal use is permitted, but republication/ redistribution requires IEEE permission. See http://www.ieee.org/ publications_standards/publications/rights/index.html for more information. This … Cited by 1 Related articles All 3 versions

A Strategy for Multilingual Spoken Language Understanding Based on Graphs of Linguistic Units MC Lance – 2015 – riunet.upv.es … 9 2 State of the art 11 2.1 Spoken language understanding in the context of spoken dialogue systems . . . . . 11 … 92 5.2.2 An approach based on a task-dependent statistical machine translation system. . . . . 97 5.3 Graph-based SLU . . . . . … Related articles

[BOOK] NLTK essentials N Hardeniya – 2015 – books.google.com … translation 63 Statistical machine translation 65 Information retrieval 65 Boolean retrieval 66 Vector space model 66 The probabilistic model 67 Speech recognition 68 Text classification 68 Information extraction 70 Question answering systems 70 Dialog systems 71 Word … All 6 versions

Provably correct reactive control from natural language C Lignos, V Raman, C Finucane, M Marcus… – Autonomous …, 2015 – Springer … generation. The use of null element restoration, a step typically ignored in NLP systems, allows for correct parsing of imperatives and questions, critical structures for natural language control and dialog systems. For example, in Fig. … Cited by 8 Related articles All 13 versions

Natural Language Processing for Social Media A Farzindar, D Inkpen – Synthesis Lectures on Human …, 2015 – morganclaypool.com … Spoken Dialogue Systems Kristiina Jokinen and Michael McTear 2009 … Research methods in information extraction, automatic categorization and clustering, au- tomatic summarization and indexing, and statistical machine translation need to be adapted to a new kind of data. … Cited by 4 Related articles All 5 versions

Combining multiple parallel streams for improved speech processing JTR de Sousa Miranda – 2015 – l2f.inesc-id.pt … The develop- ment of an S2S system must take steps to limit the propagation of errors generated by the ASR and Statistical Machine Translation (SMT) modules, in order to reduce their … Spoken dialog systems [82, 54] may collaborate with a user in spoken language to com- … Related articles All 2 versions

Structural information aware deep semi-supervised recurrent neural network for sentiment analysis W Rong, B Peng, Y Ouyang, C Li, Z Xiong – Frontiers of Computer Science, 2015 – Springer Page 1. Front. Comput. Sci., 2015, 9(2): 171–184 DOI 10.1007/s11704-014-4085-7 Structural information aware deep semi-supervised recurrent neural network for sentiment analysis Wenge RONG1,2, Baolin PENG1, Yuanxin OUYANG 1,2, Chao LI1,2, Zhang XIONG1,2 … Cited by 2 Related articles All 4 versions

[BOOK] Computational Linguistics and Intelligent Text Processing: 16th International Conference, CICLing 2015, Cairo, Egypt, April 14-20, 2015, Proceedings A Gelbukh – 2015 – books.google.com … 335 Alia El Bolock and Slim Abdennadher A Multi-strategy Approach for Lexicalizing Linked Open Data….. 348 Rivindu Perera and Parma Nand A Dialogue System for Telugu, a Resource-Poor Language….. 364 Mullapudi Ch. … Related articles All 2 versions

[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

Situated Learning and Understanding of Natural Language Y Artzi – 2015 – digital.lib.washington.edu … It achieves state-of-the-art performance on a number of tasks, including robotic interpretation of navigational directions and learning to understand user utterances in dialog systems. … Each system statement is labeled with representations of its speech act and logical mean- … Related articles All 4 versions

Semantics and Pragmatics of Spatial Reference D Golland – 2015 – eecs.berkeley.edu Page 1. Semantics and Pragmatics of Spatial Reference Dave Golland Electrical Engineering and Computer Sciences University of California at Berkeley Technical Report No. UCB/EECS-2015-23 http://www.eecs.berkeley.edu/Pubs/TechRpts/2015/EECS-2015-23.html … Cited by 1 Related articles All 4 versions

Natural Language Direction Following for Robots in Unstructured Unknown Environments F Duvallet – 2015 – repository.cmu.edu Page 1. Carnegie Mellon University Research Showcase @ CMU Dissertations Theses and Dissertations Winter 1-2015 Natural Language Direction Following for Robots in Unstructured Unknown Environments Felix Duvallet Carnegie Mellon University … Related articles All 4 versions