SRILM & Dialog Systems


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SRILM (SRI Language Modeling Toolkit) 2011


Addressee detection for dialog systems using temporal and spectral dimensions of speaking style. E Shriberg, A Stolcke, S Ravuri – INTERSPEECH, 2013 – msr-waypoint.net … dialogue systems supporting mixed teams of humans and robots”, in Proccedings AAAI Fall Sympo- sium: Aurally Informed Performance: Integrating Machine … and M. Kurimo, “Efficient estimation of maximum entropy language models with N-gram features: An SRILM ex- tension … Related articles All 8 versions Cite Save More

Using Paraphrases and Lexical Semantics to Improve the Accuracy and the Robustness of Supervised Models in Situated Dialogue Systems C Gardent, LMR Barahona – Conference on Empirical Methods in …, 2013 – hal.inria.fr … || quit (Good Luck !) Dialog Systems For our experiments, we use a hy- brid dialog system similar to … are Dialog acts while documents are utterances; we used the S-Space Package http://code.google.com/p/ airhead-research/wiki/RandomIndexing 9. We used SRILM (http://www … Related articles All 4 versions Cite Save

Cache neural network language models based on long-distance dependencies for a spoken dialog system F Zamora-Martinez, S Espana-Boquera… – … , Speech and Signal …, 2012 – ieeexplore.ieee.org … Experiments conducted on a SLU task for a spoken dialog system have shown a significant CER re- duction using a rather simple model. … Interspeech, 2005. [14] A. Stolcke, “SRILM: an extensible language modeling toolkit,” in Proc. ICSLP, 2002, pp. 901–904. … Cited by 6 Related articles All 2 versions Cite Save

What if everyone could do it?: a framework for easier spoken dialog system design P Milhorat, S Schlögl, G Chollet, J Boudy – Proceedings of the 5th ACM …, 2013 – dl.acm.org … Stolcke, A. SRILM-An extensible language modeling toolkit. In Proc. of ICSLP (2002). 28. Williams, JD, and Young, S. Partially observable Markov decision processes for spoken dialog systems. Computer Speech & Language 21, 2 (2007), 393–422. 29. … Cited by 1 Related articles All 3 versions Cite Save

A Novel Similarity Measure to Induce Semantic Classes and Its Application for Language Model Adaptation in a Dialogue System YL Li, WQ Xu, YH Yan – Journal of Computer Science and Technology, 2012 – Springer Page 1. Li YL, Xu WQ, Yan YH. A novel similarity measure to induce semantic classes and its application for language model adaptation in a dialogue system. … Application for Language Model Adaptation in a Dialogue System … Related articles All 10 versions Cite Save

Combining multiple translation systems for spoken language understanding portability F Garc?a, LF Hurtado, E Segarra, E Sanchis, G Riccardi – 2012 – users.dsic.upv.es … Given the aforementioned characteristics of the limited- domain spoken dialog systems, it is possible to obtain manu- ally transcribed, segmented, and labeled corpora that can be used to learn statistical models for the … We used the SRILM toolkit for the estimations of the LMs. … Cited by 1 Related articles Cite Save More

Ontology-based pattern generator and root semantic analyser for spoken dialogue systems Y Benahmed, S Selouani… – Electrical & Computer …, 2012 – ieeexplore.ieee.org … an effective framework for generat- ing patterns from root semantical patterns for use with an interac- tive spoken dialog system belonging to the … of complexity we measure the generated language model’s complexity before and after generation with the use of the SRILM [16] tool … Related articles Cite Save

Towards Empirical Dialog-State Modeling and its Use in Language Modeling. NG Ward, A Vega – INTERSPEECH, 2012 – 20.210-193-52.unknown.qala.com. … … [4] A. Raux, N. Mehta, D. Ramachandran, and R. Gupta, “Dynamic language modeling using bayesian networks for spoken dialog systems,” in Interspeech, pp. 3030–3033, 2010. … [19] A. Stolcke, “SRILM – an extensible language modeling toolkit,” in Proc. Intl. Conf. … Cited by 9 Related articles All 6 versions Cite Save

“Can you give me another word for hyperbaric?”: Improving speech translation using targeted clarification questions NF Ayan, A Mandal, M Frandsen… – … , Speech and Signal …, 2013 – ieeexplore.ieee.org … The complexity, ambiguity, and informality of natural spoken language have a significant negative impact on the overall per- formance of existing dialog systems. … For the fi- nal translation system, we generated a 6-gram language model us- ing the SRILM toolkit [25], on the target … Cited by 2 Related articles All 9 versions Cite Save

Spoken language processing in a conversational system for child-robot interaction. I Kruijff-Korbayová, H Cuayáhuitl, B Kiefer, M Schröder… – WOCCI, 2012 – macs.hw.ac.uk … While most work in spoken dialogue system de- velopment is based on pipeline architectures, there are notable exceptions such as [5, 6], which execute system components in parallel (weakly-coupled or tightly-coupled architectures). … Cited by 4 Related articles All 5 versions Cite Save More

Robust dialogue act detection based on partial sentence tree, derivation rule, and spectral clustering algorithm CP Chen, CH Wu, WB Liang – EURASIP Journal on Audio, Speech, and …, 2012 – Springer … Figure 1 Block diagram of a spoken dialogue system. At turn t, the user utters U, which is recognized by ASR to be W. ? is a semantic representation of user’s intended dialogue act. … The lexicon contains 297 words. The bi-gram language model is estimated by SRILM toolkit [40]. … Cited by 2 Related articles All 9 versions Cite Save

Comparison and combination of lightly supervised approaches for language portability of a spoken language understanding system B Jabaian, L Besacier, F Lefevre – Audio, Speech, and …, 2013 – ieeexplore.ieee.org … II. DIFFERENT METHODS FOR CONCEPT TAGGING In dialogue systems, the SLU module has an intermediate role between ASR and DM. Its role is to … (which can be trained using the SRILM toolkit [38] on the corpus of concepts), and a translation model … Cited by 4 Related articles All 5 versions Cite Save

Natural Language Generation in the context of Multimodal Interaction in Portuguese JC Pereira, AJS Teixeira, JS Pinto – Electrónica e Telecomunicações, 2013 – revistas.ua.pt … Templates – Templates use pre-build text forms. It is mainly used in industrial dialogue systems. They are present in state-of-the-art systems, too. Templates … file. MOSES work is done in conjunction with GIZA++ [32] and with SRILM [33]. … Related articles Cite Save

A language modeling approach to identifying code-switched sentences and words LC Yu, WC He, WN Chien – Proceedings of the 2nd CIPS-SIGHAN …, 2012 – aclweb.org … When dealing with code-switched input, intelligent systems such as dialog systems must be capable of identifying the various languages and recognize … N-gram models for both code-switching and non- code-switching were trained using the SRILM toolkit (Stolcke, 2002) with n … Cited by 2 Related articles All 5 versions Cite Save More

Language model reduction for practical implementation in LVCSR systems S Ostrogonac, B Popovi?, M Se?ujski… – Infoteh, Jahorina, …, 2013 – infoteh.etf.unssa.rs.ba … in which the OOV words are omitted from the evaluation process, which can be seen in the SRILM evaluation reports … was supported by the Ministry of Education, Science and Technological Development of Serbia within the Project “Development of Dialogue Systems in Serbian … Cited by 4 Related articles All 4 versions Cite Save More

Semantic parsing using word confusion networks with conditional random fields. G Tür, A Deoras, D Hakkani-Tür – INTERSPEECH, 2013 – msr-waypoint.com … Figure 3: Conceptual process of typical spoken dialog systems with cascaded speech recognition and understanding. … The word confusion networks are built using the SRILM toolkit [33], which uses a method similar to AT&T pivot algorithm [27]. … Cited by 3 Related articles All 6 versions Cite Save

Predicting and Eliciting Addressee’s Emotion in Online Dialogue. T Hasegawa, N Kaji, N Yoshinaga, M Toyoda – ACL (1), 2013 – aclweb.org … as JOY, while Sorry, but you can’t join us today is generated for SADNESS (Figure 1). Systems that can perform the two tasks not only serve as crucial components of dialogue systems but also … 8http://code.google.com/p/giza-pp/ 9http://www.speech.sri.com/projects/ srilm/ 967 … Cited by 3 Related articles All 3 versions Cite Save More

Investigating Critical Speech Recognition Errors in Spoken Short Messages A Pappu, T Misu, R Gupta – Proceedings of IWSDS, 2014 – uni-ulm.de … Signal Processing (ICASSP), Vancouver (Canada) (2013) 3. Bohus, D., Rudnicky, A.: Integrating multiple knowledge sources for utterance-level confi- dence annotation in the cmu communicator spoken dialog system. … Stolcke, A.: SRILM-an extensible language modeling toolkit. … Cited by 1 Related articles All 2 versions Cite Save More

ASR error detection using recurrent neural network language model and complementary ASR YC Tam, Y Lei, J Zheng, W Wang – Proceedings of ICASSP, 2014 – sri.com … request rephrasing or spelling of words) [1]. In this way, accurate ASR error detection can play a crucial role within a dialogue system. … We aligned the reference transcriptions against the confusion networks by using the SRILM toolkit [9] to obtain target labels for training and … Cited by 2 Related articles All 2 versions Cite Save More

Using syntactic and confusion network structure for out-of-vocabulary word detection. A Marin, T Kwiatkowski, M Ostendorf, LS Zettlemoyer – SLT, 2012 – wiki.inf.ed.ac.uk … ii, pp. II.21–II.24. [9] H. Sun et al., “Using word confidence measure for oov words detection in a spontaneous spoken dialog system,” in Proc. Eurospeech, 2003, pp. … 133 –138. [23] A. Stolcke, “SRILM – an extensible language modeling toolkit,” in Proc. ICSLP, 2002, pp. … Cited by 4 Related articles All 6 versions Cite Save More

Prosodic and temporal features for language modeling for dialog NG Ward, A Vega, T Baumann – Speech Communication, 2012 – Elsevier … The time-based adjustments are implemented as a wrapper around the function NgramLM::wordprobBO in SRILM. … It is worth noting that, since the time-until features involve future information, they would probably not be useful for dialog systems, although they would for offline … Cited by 12 Related articles All 15 versions Cite Save

Clarification Question Generation for Speech Recognition Error Recovery Using Monolingual SMT D Yu – Advanced Materials Research, 2013 – Trans Tech Publ … A 3-gram language model is trained with the SRILM toolkit for all generation models by using all CQs of the training data and a Chinese spoken language corpus1 (401,772 utterances). … 2] Purver M., “CLARIE: Handling Clarification Requests in a Dialogue System,” Research on … Related articles All 3 versions Cite Save

Alternative hypothesis generation using a weighted kernel feature matrix for ASR substitution error correction CH Liu, CH Wu, D Sarwono – Chinese Spoken Language …, 2012 – ieeexplore.ieee.org … in the applications of speech and natural language processing, such as Computer-Assisted Language Learning (CALL) and Spoken Dialogue Systems (SDS), usually … The n-gram language model is trained using SRILM toolkit with the setup of bi-gram on Chinese words. Fig. … Related articles All 2 versions Cite Save

Generalization of discriminative approaches for speech language understanding in a multilingual context B Jabaian, F Lefèvre, L Besacier – Statistical Language and Speech …, 2013 – Springer … The language model used in our experiments is a trigram model trained on the target side of our training corpus using the SRILM tool [30]. … In the context of a human-machine dialogue system, a joint decoding between speech recognition and translation can be added. … Related articles All 6 versions Cite Save

Identification of Code-Switched Sentences and Words Using Language Modeling Approaches LC Yu, WC He, WN Chien, YH Tseng – Mathematical Problems in …, 2013 – hindawi.com … When dealing with code-switched input, intelligent systems such as dialog systems must be capable of identifying the various languages and … Mandarin-Taiwanese sentences, -gram models for both code-switching and noncode-switching were trained using the SRILM toolkit [35 … Cited by 1 Related articles All 3 versions Cite Save More

ASR domain adaptation methods for low-resourced languages: application to Romanian language H Cucu, L Besacier, C Burileanu… – … ), 2012 Proceedings of …, 2012 – ieeexplore.ieee.org … [4] B. Jabaian, L. Besacier, F. Lefevre, “Combination of Stochastic Understanding and Machine Translation Systems for Language Portability of Dialogue Systems,” ICASSP 2011, Prague, p. 5612-5616, 2011. … [10] A. Stolcke, “SRILM – an extensible language modeling toolkit … Cited by 7 Related articles All 7 versions Cite Save

Impacts of machine translation and speech synthesis on speech-to-speech translation K Hashimoto, J Yamagishi, W Byrne, S King… – Speech …, 2012 – Elsevier … These are integration methods for natural language generation and speech synthesis for spoken dialog systems. … The word N-gram models we used were created using the SRILM toolkit ( Stolcke, 2002), from the same English sentences used for training the machine translation … Cited by 4 Related articles All 5 versions Cite Save

Statistical semantic interpretation modeling for spoken language understanding with enriched semantic features A Celikyilmaz, D Hakkani-Tur… – … Workshop (SLT), 2012 …, 2012 – ieeexplore.ieee.org … In a typical dialog system [1, 2, 3], a speech recognizer takes the user’s spoken utterances and converts them into text. … 219 Page 5. where p(g) is the prior probability for genre g. We trained LMgs using SRILM [31], with Kneser-Ney smooth- ing and using the default parameters. … Cited by 1 Related articles All 8 versions Cite Save

Using crowdsourcing for grammar induction with application to spoken dialogue systems E Palogiannidi – 2013 – poseidon.library.tuc.gr … 9 Page 11. Chapter 1 Introduction 1.1 Motivation Interactive Spoken Dialogue Systems, (SDS) are becoming increasingly pervasive in daily life. … perplexity := 2H(X) (2.3) For calculating perplexity in practice, we need a LM and a test corpus and we can use the SRILM toolkit [51] . … Cite Save More

Language style and domain adaptation for cross-language SLU porting EA Stepanov, I Kashkarev, AO Bayer… – … (ASRU), 2013 IEEE …, 2013 – ieeexplore.ieee.org … The hidden-ngram tool from SRILM toolkit [9], which tags a sequence of to- kens with hidden events occurring between them, is used … In a live dialog system these entities are usually handled by their associated grammars, either handcrafted by the developers or provided as built … Cited by 1 Related articles Cite Save

A Graph-based Cross-lingual Projection Approach for Spoken Language Understanding Portability to a New Language S Kim – 2013 – oar.a-star.edu.sg … Index Terms— Spoken Dialogue Systems, Spoken Lan- guage Understanding, Language Portability, Statistical Ma- chine Translation … To perform these translations, we used an SMT system trained on Infin- ity corpus [13] with Moses 1 [14] and SRILM 2 [15] toolkits. … Related articles All 2 versions Cite Save

Design, development and field evaluation of a Spanish into sign language translation system R San-Segundo, JM Montero, R Córdoba… – Pattern Analysis and …, 2012 – Springer Logo Springer. Search Options: … Cited by 13 Related articles All 11 versions Cite Save

Using web text to improve keyword spotting in speech A Gandhe, L Qin, F Metze, A Rudnicky… – … (ASRU), 2013 IEEE …, 2013 – ieeexplore.ieee.org … The interpolation weight was tuned on the development data using the “best-mix” script in the SRILM toolkit. … 1, pp. 573-576, 2005. [10] K. Weilhammer, MN Stuttle and S. Young, “Boot- strapping language models for dialogue systems,” Proc. ICSLP-2006, 2006. … Related articles All 3 versions Cite Save

Towards High-Reliability Speech Translation in the Medical Domain G Neubig, S Sakti, T Toda, S Nakamura… – Proc. of Workshop on …, 2013 – phontron.com … In Proc. ACL, pages 157–166. Andreas Stolcke. 2002. SRILM – an extensible lan- guage modeling toolkit. In Proc. … 2000. Learning to predict problematic situations in a spoken dialogue system: experiments with how may I help you? In Proc. … Cited by 2 Related articles All 4 versions Cite Save More

OpenCCG Realizer Manual M White – Documentation of the OpenCCG Realizer, 2012 – svn.kwarc.info … The n-gram tables are efficiently stored in a trie data structure (as in the SRILM toolkit), thereby avoiding any arbitrary limit … As discussed in [Whi04b], with dialogue systems like COMIC n-gram models can do an excellent job of placing underconstrained adjectival and adverbial … Cited by 3 Related articles Cite Save More

Using multiple versions of speech input in phone recognition M Liberman, J Yuan, A Stolcke… – Acoustics, Speech and …, 2013 – ieeexplore.ieee.org … 10, pp. 89–99, 2002. [7] Bohus, D., Zweig, G., Nguyen, P., Li, X., “ Joint N-best rescoring for repeated utterances in spoken dialog systems,” Proceedings of SLT 2008, pp. … [11] Stolcke, A., SRILM – An Extensible Language Modeling Toolkit, Proceedings of ICSLP 2002, pp. … Related articles All 19 versions Cite Save

Recognizing Young Readers’ Spoken Questions W Chen, J Mostow, G Aist – International Journal of Artificial Intelligence in …, 2013 – IOS Press … When little training data from a real user is available, researchers in dialog systems have built language models from hand written grammars … POS tagger [Toutanova et al., 2003], and trained a bigram model on the resulting POS sequences using the SRILM language modeling … Related articles All 4 versions Cite Save

A historical perspective of speech recognition X Huang, J Baker, R Reddy – Communications of the ACM, 2014 – dl.acm.org … Today, we can use open research tools, such as HTK, Sphinx, Kaldi, CMU LM toolkit, and SRILM to build a working system. … 42. Williams, J. and Young, S. Partially observable Markov decision processes for spoken dialog systems. … Cited by 1 Related articles Cite Save

Multimodal interaction for information retrieval using natural language A Revuelta-Martínez, L Rodríguez… – Computer Standards & …, 2013 – Elsevier … system transparency and to assist the user in obtaining the right information: interactive text generation (Section 3.3) and a spoken dialog system (Section 3.4). … To this end, we use a trigram language model trained with the Srilm toolkit [40] as well as a phrase-based translation … Cited by 1 Related articles All 2 versions Cite Save

Comparison of Methods for Topic Classification of Spoken Inquiries R Torres, H Kawanami, T Matsui, H Saruwatari… – Information and Media …, 2013 – jlc.jst.go.jp … AM training tool HTK 3.2 [18] Acoustic model PTM [19], 2,781 HMMs, 1,965 states, 8,256 mixtures Acoustic features 12 MFCC, 12 ? MFCC, ? E AM training Baum-Welch, 3 iterations LM training tool SRILM 1.5.0 [20] Language model 3-gram, Kneser-Ney smoothing LM … Related articles All 6 versions Cite Save

Unsupervised data processing for classifier-based speech translator E Ettelaie, PG Georgiou, SS Narayanan – Computer Speech & Language, 2013 – Elsevier … 2006). It has been also used in a range of other applications such as systems with virtual interactive characters or machine spoken dialog systems to implement speech understanding (Leuski et al., 2006 and Traum et al., 2007). … Cited by 2 Related articles All 4 versions Cite Save

Unsupervised language model adaptation for automatic speech recognition of broadcast news using web 2.0. T Schlippe, L Gren, NT Vu, T Schultz – INTERSPEECH, 2013 – researchgate.net … [10] T. Misu and T. Kawahara, “A Bootstrapping Approach for Devel- oping Language Model of New Spoken Dialogue Systems by Se … [25] A. Stolcke, “SRILM – An Extensible Language Modeling Toolkit,” in The International Conference on Spoken Language Processing, vol. … Related articles All 5 versions Cite Save More

Multimodal and adaptable medication assistant for the elderly: A prototype for interaction and usability in smartphones F Ferreira, N Almeida, AF Rosa… – … (CISTI), 2013 8th …, 2013 – ieeexplore.ieee.org … ned the three main approaches to nces in dialogue systems: template- l NLG and, more recently, trainable more complex than those , different strategies are used. … 1 http://www.statmt.org/moses/ 2 http://code.google.com/p/giza-pp/ 3 http://www.speech.sri.com/projects/srilm/ … Cited by 1 Related articles Cite Save

A language model for highly inflective non-agglutinative languages S Ostrogonac, D Miskovic, M Secujski… – … (SISY), 2012 IEEE …, 2012 – ieeexplore.ieee.org … styles. The language modeling in the experiment was done using the SRILM toolkit [14]. Trigram concept was adopted for all models. … 180 – Page 5. Dialogue Systems in Serbian and other South Slavic Languages” (TR-32035). REFERENCES … Cited by 2 Related articles Cite Save

Large vocabulary Russian speech recognition using syntactico-statistical language modeling A Karpov, K Markov, I Kipyatkova, D Vazhenina… – Speech …, 2014 – Elsevier … used. In (Bechet and Nasr, 2009), a syntactic parser for spontaneous speech recognition outputs is used for identification of verbal sub-categorization frames for dialogue systems and spoken language understanding tasks. The … Cited by 4 Related articles All 3 versions Cite Save

Impact of training corpus size on the quality of different types of language models for Serbian S Ostrogonac, M Secujski… – … Forum (TELFOR), 2012 …, 2012 – ieeexplore.ieee.org … All of these models are based on the n-gram concept and have been trained using the SRILM toolkit [1]. Three types … was supported by the Ministry of Education, Science and Technological Development of Serbia within the Project “Development of Dialogue Systems in Serbian … Related articles Cite Save

Patent Translation within the MOLTO Project Cristina España-Bonet Ramona Enache Adam Slaski Aarne Ranta L Màrquez, M Gonzàlez – Frontiers of Multilingual Grammar …, 2013 – 130.241.16.4 … Up to now, GF has been applied in several small-to-medium size domains such as dialogue systems 2 or the translation of mathematical … A 5-gram language model is estimated using interpolated Kneser-Ney discounting with SRILM [6]. Word alignment is done with GIZA++[7 … Related articles All 3 versions Cite Save More

Improved recognition of Hungarian call center conversations B Tarjan, G Sarosi, T Fegyo… – Speech Technology and …, 2013 – ieeexplore.ieee.org … By default statistical n-gram models were estimated with SRI Language Modeling toolkit (SRILM) [20] by using modified Kneser … modelling for the recognition of non-verbal vocalisations in conversational speech,” in Perception in multimodal dialogue systems, Springer Berlin … Related articles Cite Save

An attribute detection based approach to automatic speech processing SM Siniscalchi, CH Lee – Loquens, 2014 – loquens.revistas.csic.es … This number, often referred to as a CM, serves as a reference guide for the dialogue system to provide an appropriate response to its users … The SRILM (Stolcke, 2002) toolkit was used to train the factored LM with several text corpora, including (i) Sinorama (Group, 2013): a news … Cite Save More

Initial experiments with Tamil LVCSR J Melvin Jose, NT Vu, T Schultz – Asian Language Processing ( …, 2012 – ieeexplore.ieee.org … In [3] and [4], a Tamil spoken dialog system for farmers in Tamil Nadu and a syllable-based Tamil recognizer were built. … Speech Communication, 50(5):434-451, 2008. [9] A. Stolcke. SRILM – An extensible language modeling toolkit. In Intl. Conf. Spoken Language Processing. … Cited by 1 Related articles All 4 versions Cite Save

The spoken web search task at MediaEval 2012 F Metze, X Anguera, E Barnard… – … , Speech and Signal …, 2013 – ieeexplore.ieee.org … For each spoken query, the N phone decodings with the highest likelihoods are extracted from the phone lattice using SRILM’s lattice tool. … of how audio content can be made searchable, without having to develop a dedicated speech recognizer and dialog system, which is still a … Cited by 21 Related articles All 18 versions Cite Save

Automatic detection of speaker state: Lexical, prosodic, and phonetic approaches to level-of-interest and intoxication classification WY Wang, F Biadsy, A Rosenberg… – Computer Speech & …, 2013 – Elsevier … This focus is motivated primarily by Spoken Dialogue System (SDS) applications, such as call centers and tutoring systems, for which it would be useful to recognize a speaker state such as anger or uncertainty in order to improve the user experience as well as task … Cited by 4 Related articles All 7 versions Cite Save

SMT-based ASR domain adaptation methods for under-resourced languages: Application to Romanian H Cucu, A Buzo, L Besacier, C Burileanu – Speech Communication, 2014 – Elsevier … personal computers, call-centers, etc. Spoken dialog systems are very popular human–machine interfaces, because speech is, in fact, the most natural way to communicate and to exchange information. However, most of the … Cited by 4 Related articles All 4 versions Cite Save

Word Activation Forces-Based Language Modeling and Smoothing M Qin, G Liu, B Li, Y Lu – Intelligent Human-Machine Systems …, 2013 – ieeexplore.ieee.org … 2011AA01A205. REFERENCES [1] F. Zamora, MJ Castro, and R. De-Mori, “Cache neural network language models based on long-distance dependencies for a spoken dialog system,” IEEE ICASSP, 2012, pp. 4993- 4996. … [6] S. Andreas, “SRILM an extensible language … Related articles All 2 versions Cite Save

Distributed speech translation technologies for multiparty multilingual communication S Sakti, M Paul, A Finch, X Hu, J Ni, N Kimura… – ACM Transactions on …, 2012 – dl.acm.org … We applied this technique to improve the quality of dialog systems by building and combining class-based models for interrogative and declarative sentences [Finch and Sumita 2008]. 3.3. Speech Synthesis Our current speech-translation system utilizes XIMERA [Kawai et al. … Cited by 1 Related articles Cite Save

Lattice generation with accurate word boundary in WFST framework Y Guo, Y Si, Y Liu, J Pan, Y Yan – Image and Signal Processing …, 2012 – ieeexplore.ieee.org … LVCSR) has been applied in many areas including dictation systems, voice search, voice input systems, spoken term detection, spoken dialogue systems and so on … A 43k-word lexicon and a 3-gram language model built with SRILM tools [10] are used in decoding, containing 33 … Cited by 3 Related articles Cite Save

Portuguese text generation using factored language models EM de Novais, I Paraboni – Journal of the Brazilian Computer Society, 2013 – Springer … presently disregarded. The proposed models are summarised in Fig. 3. Unless specified otherwise, all models were built using SRILM [33] and using the default tool parameters and a back-off strategy as follows. The first model … Cited by 6 Related articles All 4 versions Cite Save

Incremental Tree Substitution Grammar for Parsing and Sentence Prediction. F Sangati, F Keller – TACL, 2013 – homepages.inf.ed.ac.uk … Kamide, 1999). Also language processing systems often deal with speech as it is spoken, or text as it is being typed. A dialogue system should start interpreting a sentence while it is being spoken, and a question answering system … Related articles All 5 versions Cite Save More

Synthesizing expressive speech from amateur audiobook recordings E Székely, TG Csapó, B Tóth, P Mihajlik… – … (SLT), 2012 IEEE, 2012 – ieeexplore.ieee.org … needs in applications such as speech generating devices (SGD) for non-speaking individ- uals, speech-to-speech translation applications and dialogue systems using intelligent … A word trigram model was trained using the SRILM Toolkit [8] ap- plying Good-Turing discounting. … Related articles All 3 versions Cite Save

Semi-Supervised Semantic Tagging of Conversational Understanding using Markov Topic Regression. A Celikyilmaz, DZ Hakkani-Tür, G Tür, R Sarikaya – ACL (1), 2013 – aclweb.org … We built a language model using SRILM (Stol- cke, 2002) on the domain specific sources such as top wiki pages and blogs on online movie reviews, etc., to obtain the probabilities of domain-specific n-grams, up to 3-grams. … Related articles All 8 versions Cite Save More

Theoretical Analysis of Diversity in an Ensemble of Automatic Speech Recognition Systems. K Audhkhasi, AM Zavou, PG Georgiou… – IEEE/ACM Transactions …, 2014 – sail.usc.edu 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 2 Related articles Cite Save More

A System for Recognizing Natural Spelling of English Words L Czech – 2014 – isl.anthropomatik.kit.edu … It extracts the information from a speech utterance and infers the word being spelled. There are plenty of use cases for such a system, including out-of-vocabulary learning, error recovery and dialog systems, for example in warehousing or flight booking. … Related articles Cite Save More

Neural network language models for off-line handwriting recognition F Zamora-Martínez, V Frinken, S España-Boquera… – Pattern Recognition, 2014 – Elsevier Unconstrained off-line continuous handwritten text recognition is a very challenging task which has been recently addressed by different promising techniques. T. Cited by 1 Related articles All 3 versions Cite Save

Automatic Allophone Deriving for Korean Speech Recognition J Xu, Y Si, J Pan, Y Yan – Computational Intelligence and …, 2013 – ieeexplore.ieee.org … A trigram language model built by SRILM Toolkit is adopted. … Kashioka, Satoshi Nakamura, “Conditional Random Fields for Modeling Korean Pronunciation Variation,” Proceedings of the Paralinguistic Information and its Integration in Spoken Dialogue Systems Workshop 2011 … Related articles All 3 versions Cite Save

Speech-to-speech translation to support medical interviews JASG Rodrigues – 2013 – repositorio.ul.pt Page 1. UNIVERSIDADE DE LISBOA Faculdade de Ciências Departamento de Informática SPEECH-TO-SPEECH TRANSLATION TO SUPPORT MEDICAL INTERVIEWS Jo˜ao Ant´onio Santos Gomes Rodrigues PROJETO MESTRADO EM ENGENHARIA INFORM´ATICA … Related articles Cite Save

Detecting Off-Task Speech W Chen – 2012 – scs.cmu.edu … robot cooperation. Off-task speech input to computers presents both challenges and opportunities for such dialog systems. … As a prevalent speech event, off- task speech has been acknowledged in many dialog systems, such as health communication … Cited by 1 Related articles All 11 versions Cite Save More

A Global Model for Concept-to-Text Generation. I Konstas, M Lapata – J. Artif. Intell. Res.(JAIR), 2013 – jair.org … automatically from a development corpus. Ratnaparkhi (2002) uses a dependency- style grammar of phrase fragments in the context of a dialogue system, incorporating among others long-range dependencies. More recently, Lu and … Cited by 1 Related articles All 3 versions Cite Save More

Statistical post-editing and quality estimation for machine translation systems H Bechara – 2014 – doras.dcu.ie Page 1. Statistical Post-editing and Quality Estimation for Machine Translation Systems Hanna Bechara B.Sc., BA A dissertation submitted in fulfilment of the requirements for the award of Masters by Research (M.Sc.) to the Dublin City University School of Computing … Related articles Cite Save

Discriminative language modeling with linguistic and statistically derived features E Arisoy, M Saraçlar, B Roark… – Audio, Speech, and …, 2012 – ieeexplore.ieee.org … features, to adapt the model expectations to the topic of discourse [4]; semantic dependencies and syntactic structure for ASR [5]; and semantic analysis for spoken dialogue systems [6]. A joint morphological- lexical language … Cited by 15 Related articles All 3 versions Cite Save

Improving Statistical Machine Translation Using Bayesian Word Alignment and Gibbs Sampling C Mermer, M Saraçlar… – Audio, Speech, and …, 2013 – ieeexplore.ieee.org … ?e,f = ? = 0.0001 to obtain a sparse Dirichlet prior. After alignments were obtained in both translation directions, standard phrase-based SMT systems were trained in both directions using Moses [34], SRILM [35], and ZMERT [36] tools. The translations were … Related articles Cite Save

Discriminative reranking for spoken language understanding M Dinarelli, A Moschitti… – Audio, Speech, and …, 2012 – ieeexplore.ieee.org Page 1. Copyright (c) 2011 IEEE. Personal use is permitted. For any other purposes, permission must be obtained from the IEEE by emailing pubs-permissions@ieee.org. This article has been accepted for publication in a future issue of this journal, but has not been fully edited. … Cited by 5 Related articles All 7 versions Cite Save

Combining multiple parallel streams for improved speech processing JTR de Sousa Miranda – 2014 – l2f.inesc-id.pt … retrieval engine to locate the most relevant documents. • Spoken dialog systems [56, 32] collaborate with a user in spoken language to complete a … In other situations, namely when the user is unfamiliar with the task at hand, or needs to have their hands free, dialog systems … Related articles Cite Save More

[BOOK] Language and Computers M Dickinson, C Brew, D Meurers – 2012 – books.google.com … 5 Classifying Documents 5.1 Automatic document classification 5.2 How computers “learn” 5.3 Features and evidence 5.4 Application: Spam filtering 5.5 Some types of document classifiers 5.6 From classification algorithms to context of use 6 Dialog Systems 6.1 Computers that … Cited by 1 Related articles All 4 versions Cite Save

Improving statistical machine translation using bayesian word alignment and gibbs sampling C Mermer, M Saraçlar, R Sarikaya – IEEE Transactions on Audio, …, 2013 – msr-waypoint.com … We chose identical symmetric Dirichlet priors for all source words with to obtain a sparse Dirichlet prior. After alignments were obtained in both translation di- rections, standard phrase-based SMT systems were trained in both directions using Moses [34], SRILM [35], and … Cited by 1 Related articles All 5 versions Cite Save More

Improving automatic classification of prosodic events by pairwise coupling C González-Ferreras… – Audio, Speech, and …, 2012 – ieeexplore.ieee.org Page 1. Copyright (c) 2011 IEEE. Personal use is permitted. For any other purposes, permission must be obtained from the IEEE by emailing pubs-permissions@ieee.org. This article has been accepted for publication in a future issue of this journal, but has not been fully edited. … Cited by 7 Related articles All 3 versions Cite Save

Sequence-Based Pronunciation Variation Modeling for Spontaneous ASR Using a Noisy Channel Approach H HOFMANN, S Sakti, H Chiori… – … on Information and …, 2012 – search.ieice.org Page 1. 2084 IEICE TRANS. INF. & SYST., VOL.E95–D, NO.8 AUGUST 2012 PAPER Sequence-Based Pronunciation Variation Modeling for Spontaneous ASR Using a Noisy Channel Approach Hansjörg HOFMANN †?a) , Sakriani … Related articles All 7 versions Cite Save

State of the art on semantic retrieval of AV content beyond text resources MF Moens, GJ Poulisse, MM VRT – 2012 – tosca-mp.eu Page 1. © TOSCA-MP consortium: all rights reserved page i State of the art on semantic retrieval of AV content beyond text resources Deliverable D3.1 TOSCA-MP identifier: TOSCAMP-D3.1-v1.0.docx Deliverable number: D3.1 … Related articles Cite Save More

Pre-Processing MRSes T Bruland – In Proceedings of the 10th International Conference on …, 2013 – aclweb.org … ACE can parse and generate using the compiled grammar. Our goal is to create a pipeline for the NorSource grammar and use it to create small question-answer systems or dialogue systems. The first step in the pipeline is the parsing process with ACE. … Cited by 1 Related articles All 5 versions Cite Save More

Theoretical Analysis of Diversity in an Ensemble of Automatic Speech Recognition Systems K Audhkhasi, AM Zavou, PG Georgiou, SS Narayanan – 2013 – 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 … Related articles Cite Save

A Graph-Based Approach to String Regeneration M Horvat, W Byrne – 2013 – cl.cam.ac.uk … 3. The LKH heuristic TSP solver was created by Keld Helsgaun. 4. The language model server is a part of the SRILM toolkit created by the SRI Speech Technology and Research Laboratory. … tems, and Dialogue Systems, suffer from the same problem (Soricut and Marcu, 2005). … Related articles All 4 versions Cite Save More

A Submodularity Framework for Data Subset Selection K Kirchhoff, J Bilmes, K Wei, Y Liu, A Mandal, C Bartels – 2013 – DTIC Document Page 1. AFRL-RH-WP-TR-2013-0108 A SUBMODULARITY FRAMEWORK FOR DATA SUBSET SELECTION Katrin Kirchhoff Jeff Bilmes Kai Wei Yuzong Liu Kai Wei Arindam Mandal Chris Bartels Department of Electrical Engineering … Related articles Cite Save

Finnish Language Speech Recognition for Dental Health Care S PUHEENTUNNISTUS – 2012 – users.marjaniemi.com Page 1. FINNISH LANGUAGE SPEECH RECOGNITION FOR DENTAL HEALTH CARE SUOMENKIELINEN PUHEENTUNNISTUS HAMMASHUOLLON SOVELLUKSISSA A THESIS SUBMITTED TO THE DEPARTMENT OF INFORMATION AND COMPUTER SCIENCE OF … Related articles All 4 versions Cite Save More

Distributional phrasal paraphrase generation for statistical machine translation Y Marton – ACM Transactions on Intelligent Systems and …, 2013 – dl.acm.org Page 1. 39 Distributional Phrasal Paraphrase Generation for Statistical Machine Translation YUVAL MARTON, University of Maryland, Columbia University, and IBM TJ Watson Research Center Paraphrase generation has been … Cited by 1 Related articles Cite Save

[BOOK] Interactive Approaches to Video Lecture Assessment K Riedhammer – 2012 – books.google.com Page 1. Studien zur Mustererkennung \ * Band 36 \ Korbinian Riedhammer Interactive Approaches to Video Lecture Assessment Page 2. Interactive Approaches to Video Lecture Assessment Der Technischen Fakultat der Universitat … Cited by 3 Related articles All 4 versions Cite Save

Detecting Grammatical Errors with Treebank-Induced, Probabilistic Parsers J Wagner – 2012 – core.kmi.open.ac.uk … 93 4.9 APP/EPP ratios for using SRILM’s unigram language model for EPP and Charniak’s parser for APP . . . . … 103 4.15 Effect of smoothing on unigram language model probabilities: SRILM’s Gold-Turing smoothing vs. naive smoothing on a subset of 2,000 BNC sen- … Cited by 3 Related articles All 7 versions Cite Save More

Computational Terminology: Exploring Bilingual and Monolingual Term Extraction J Foo – 2012 – diva-portal.org Page 1. Linköping Studies in Science and Technology. Thesis, No. 1523 Computational Terminology: Exploring Bilingual and Monolingual Term Extraction by Jody Foo Submitted to Linköping Institute of Technology at Linköping … Cited by 1 Related articles All 4 versions Cite Save