Tokenizer & Dialog Systems


Tokenization

See also: 

Tasks Of Natural Language Processing


Using natural language processing to analyze tutorial dialogue corpora across domains and modalities D Litman, JD Moore, M Dzikovska, E Farrow – 2010 – lac-repo-live7.is.ed.ac.uk … This corpus is being used to inform the design of the BEETLE (Basic Electricity and Electronics Tutorial Learning Environment) tutorial dialogue system. … For our current work, we agreed on a set of uniform conventions, implemented a new word tokenizer, then retokenized the … Cited by 24 Related articles All 11 versions

[PDF] from cmu.edu [PDF] MOUNTAIN: A translation-based approach to natural language generation for dialog systems B Langner, AW Black – Proc. of IWSDS 2009, Irsee, Germany, 2009 – cs.cmu.edu … Nearly all of the typical components of a dialog system have had some effort made to use machine learning to improve them; these are … is also language-independent, provided the target language is able to be used by the training tools (such as the tokenizer and language … Cited by 2 Related articles All 10 versions

[PDF] from cmu.edu Improving spoken dialogue understanding using phonetic mixture models WY Wang, R Artstein, A Leuski, D Traum – Proceedings of the Twenty- …, 2011 – aaai.org … Introduction A standard architecture for spoken dialogue systems em- ploys two-tiered processing: An Automatic Speech Recog- nizer (ASR) transforms the … We extended NPCEditor by creat- ing custom tokenizer plugins that parse the utterance text and produce additional fields … Cited by 5 Related articles All 13 versions

[PDF] from cmu.edu [PDF] Evaluating a Dialog Language Generation System: Comparing the MOUNTAIN System to Other NLG Approaches B Langner, S Vogel, AW Black – Eleventh Annual Conference of …, 2010 – www-2.cs.cmu.edu … MOUNTAIN is designed as a fully-automatic, data-driven approach to language generation, targetting appli- cations such as spoken dialog systems. … independent, provided the target language is able to be used by the training tools (such as the tokenizer and language model … Cited by 1 Related articles All 6 versions

[PDF] from aclweb.org Dialogue act modeling in a complex task-oriented domain KE Boyer, EY Ha, R Phillips, MD Wallis… – Proceedings of the 11th …, 2010 – dl.acm.org … The TRIPS dialogue system also closely integrated task and dialogue models, for example, by utilizing the task model to facilitate indirect … Lexical and syntactic features were automatically extracted from the utterances using the Stanford Parser default tokenizer and part of … Cited by 6 Related articles All 7 versions

[PDF] from googlecode.com [PDF] NetOracle: a semantic question answering system M den Hollander, R Lindeman – 2010 – netoracle.googlecode.com … (d) The results of the punkt tokenizer splitting the relevant text into sentences. (e) The results of the part-of-speech tagger and chunker for each sen- tence. … The dialogue system is responsible for collecting a question from the user and displaying the answer. … Related articles All 2 versions

[PDF] from psu.edu Error return plots R Artstein – Proceedings of the SIGDIAL 2011 Conference, 2011 – dl.acm.org … that is required to provide accurate information might have a low tolerance for misunderstanding, while a story-driven dialogue system might have … The specific experiment in Figure 1 tested alternative methods to tokenize the input: the base tokenizer is represented by the thick … Cited by 2 Related articles All 12 versions

[PDF] from upc.edu Freeling 2.1: Five years of open-source language processing tools L Padró, M Collado, S Reese, M Lloberes, I Castellón – 2010 – upcommons.upc.edu … are a need for most natural lan- guage processing (NLP) applications such as Machine Translation, Summarization, Dialogue systems, Text mining, etc. … In addition, other minor adjust- ments have to be done, such as adapting the tokenizer rules to the particularities of the … Cited by 46 Related articles All 9 versions

[PDF] from vnu.edu.vn [CITATION] Multilingual and Multimodal Corpus-Based Text-to-Speech System-PLATTOS I Mlakar – 2011 – tainguyenso.vnu.edu.vn … Therefore, human- human-like communicative behaviour may be evoked in this way, giving the spoken dialogue system the ability to shape and … Firstly, the tokenizer module starts generating tokens from the input text by using a finite-state machine (FSM) based lexical scanner. … Related articles

[PDF] from stephane-gobron.net [PDF] An interdisciplinary vr-architecture for 3d chatting with non-verbal communication S Gobron, J Ahn, Q Silvestre, D Thalmann, S Rank… – EG VE, 2011 – stephane-gobron.net … proposed in [KGKW05] a conversational agent as a museum guide. This study is complementary to the current paper as they fo- cus on the dialog system and not on the general architecture. 2.3. … Machine-learning module D ata m in in ge n gin e Tokenizer … Cited by 3 Related articles All 4 versions

[PDF] from ncu.edu.tw [PDF] Computational approaches for emotion detection in text H Binali, C Wu, V Potdar – Digital Ecosystems and …, 2010 – dblab.mgt.ncu.edu.tw … Figure 2: Emotion detection architecture Web blog text Tokeniser Sentence splitter … 419-427, 2004. [11] A. Haag, S. Goronz, P. Schaich, and J. Williams, “Emotion Recognition Using Bio-sensors: First Steps towards an Automatic System ” in Affective Dialogue Systems. vol. … Cited by 3 Related articles All 2 versions

On the many benefits of a multidimensional approach to the analysis of spoken dialogue H Bunt, V Petukhova – Linguistic Theory and Raw Sound, 2009 – books.google.com … often have more than one communicative function;(3) the annotation of spoken and multimodal dialogue with dialogue act information;(4) the semantic analysis of discourse markers; and (5) the generation of deliberately multifunctional utterances by a dialogue system. … Related articles All 2 versions

Understanding spoken location information based on intersections ML Seltzer, YC Ju, IJ Tashev – US Patent 7,983,913, 2011 – Google Patents … SUMMARY A user can specify an intersection as a way to convey an exact location to a spoken dialog system. … A tokenizer expands the rep- resentation using position-dependent phonetic tokens and an intersection classi?er classi?es an intersection, despite the presence of … Related articles All 5 versions

INFORMATION EXTRACTION ACROSS MULTIPLE EXPERTISE-SPECIFIC SUBJECT AREAS S Dasgupta, D Gangopadhyay… – US Patent …, 2012 – freepatentsonline.com … 20070033053, User-adaptive dialog support for speech dialog systems, February, 2007, Kronenberg et al. … The files are passed through a parser/tokenizer (22) where the text of each file is parsed and tagged based on the part of speech (POS) that the text is found to be (eg, noun …

[PDF] from 202.114.89.42 An empirical study of automatic accent classification G Choueiter, G Zweig, P Nguyen – Acoustics, Speech and …, 2008 – ieeexplore.ieee.org … accent classification in foreign-accented English with the aim of embedding such a classifier within Voice-Rate, an experimental dialogue system [1]. The … In this research, a gaussian tokenizer is a GMM that generates a se- quence of indices for an utterance, where each index … Cited by 9 Related articles All 13 versions

[PDF] from lrec-conf.org [PDF] Freeling 3.0: towards wider multilinguality L Padró, E Stanilovsky – Proceedings of language resources and …, 2012 – lrec-conf.org … For instance, the tokenizer regular expression to match a word made of alphabetical characters in Spanish used to be [A-Za-záéiióúü˜nÁÉÍÏÓÚܘN]+, and now can be written as [[:alpha:]]+. … Some FreeLing components are being in- tegrated in the dialog system. … Cited by 1 Related articles All 2 versions

[PDF] from unipi.it [PDF] Language resources and tools for Swedish: A survey K Elenius, E Forsbom, B Megyesi – … International Conference on …, 2008 – mailserver.di.unipi.it … The Other category includes: dialog systems, multimodal systems, translation, text production, language aids, building lexica, computer assisted language … data Answers Morfological segmenter 61% Sentence splitter 56% Part-of-speech tagger 56% Tokenizer 54% Clause … Cited by 6 Related articles All 23 versions

[PDF] from ijcaonline.org [PDF] Text Independent Language Recognition using Dhmm M Sadanandam, VK Prasad… – International Journal of …, 2012 – research.ijcaonline.org … Several applications use LIDs including global communications, call routing systems, multilingual dialog systems, multilingual translation systems etc. … Ka-keung Wong [5] tried to implement the LID by altering the phonotactics approach using discrete HMM and tokenizer. … Related articles All 5 versions

Methods and Systems for Searching Using Spoken Input and User Context Information IM Bennett – US Patent App. 12/783,137, 2010 – Google Patents Page 1. US 20100235341A1 (i9) United States (12) Patent Application Publication oo) Pub. No.: US 2010/0235341 Al Bennett (43) Pub. Date: Sep. 16,2010 (54) METHODS AND SYSTEMS FOR SEARCHING USING SPOKEN … Cited by 3 Related articles All 2 versions

[PDF] from iitk.ac.in [PDF] Capturing Emotions in Sentences S Satapathy, S Bhagwani – Retrieved March, 2012 – cse.iitk.ac.in … This make Text to Speech Generation a very fruitful area of research. • Better Computer Interaction System: Many kinds of the communication systems, such as dialogue systems, automatic answering sys- tems and human-like robots … Then a tokenizer is used to obtain the tokens. … Cited by 1 Related articles All 5 versions

Methods and Systems for Query-Based Searching Using Spoken Input IM Bennett – US Patent App. 12/783,969, 2010 – Google Patents Page 1. (i9) United States (12) Patent Application Publication Bennett US 20100228540A1 (io) Pub. No.: US 2010/0228540 Al (43) Pub. Date: Sep. 9, 2010 (54) METHODS AND SYSTEMS FOR QUERY-BASED SEARCHING … All 2 versions

Speech based learning/training system using semantic decoding IM Bennett – US Patent 20,120,265,531, 2012 – freepatentsonline.com … Lewis, D. (1979). Scorekeeping in a language game. Journal of Philosophical Logic 6, 339-359. Litman, DJ, Pan, Shimei, Designing and evaluating an adaptive spoken dialogue system, User Modeling and User Adapted Interaction, 12, 2002. Lochbaum, K. (1994). …

Method and system for analyzing user-generated content N Bandaru, ED Moyer, S Radhakrishna – US Patent 7,930,302, 2011 – Google Patents … ____ _ _ Scoring ‘ Heuristics SV”°Psys Semantic Scorer Generator Sentence Parser Reviews Database and Tokenizer extracts, analyzes … 519-528.* Whittaker, Steve, et al., “Chapter 14: Evaluating Dialogue Strategies in Multimodal Dialogue Systems”, Spoken Multimodal Human … Related articles All 5 versions

[PDF] from upc.edu Semantic services in freeling 2.1: Wordnet and ukb L Padró, S Reese, E Agirre, A Soroa – 2010 – upcommons.upc.edu … are needed for most natural language processing (NLP) applica- tions such as Machine Translation, Summariza- tion, Dialogue systems, Text mining, etc. … See Figure 2 below for a UML diagram. • tokenizer: Receives plain text and returns a list of word objects. … Cited by 5 Related articles All 8 versions

Language Technology Support for Estonian G Rehm, H Uszkoreit – The Estonian Language in the Digital Age, 2012 – Springer … 52 Page 7. Speech Input Signal Processing Speech Output Speech Synthesis Phonetic Lookup & Intonation Planning Natural Language Understanding & Dialogue Recognition 5: Speech-based dialogue system various technological components. … All 2 versions

Systems for natural language processing of sentence based queries IM Bennett – US Patent App. 12/559,347, 2009 – Google Patents Page 1. (i9) United States (12) Patent Application Publication Bennett US 20100005081A1 (io) Pub. No.: US 2010/0005081 Al (43) Pub. Date: Jan. 7, 2010 (54) SYSTEMS FOR NATURAL LANGUAGE PROCESSING OF SENTENCE … All 2 versions

[PDF] from aminer.org Generic command interpretation algorithms for conversational agents L Mazuel, N Sabouret – Web Intelligence and Agent Systems, 2008 – IOS Press … However, their ap- proaches rely mainly on ad-hoc pattern matching with- out semantic analysis [1]. The dialogue system com- munity, on the other hand, proposes to use ontolo- gies to … 2), the lexical module is based on the default OpenNLP2 tokenizer, tagger and chunker. … Cited by 16 Related articles BL Direct All 14 versions

Speech recognition system interactive agent IM Bennett, BR Babu, K Morkhandikar… – US Patent …, 2007 – Google Patents … Agarwal, R., Towards a PURE Spoken Dialogue System for Infor- mation Access, believed to be published in Proceedings of the ACL/EACL Workshop on Interactive Spoken Dialog Systems.’ Bringing Speech and NLP Together in Real Applications, Madrid, Spain, 1997, 9 … Cited by 27 Related articles All 4 versions

[PDF] from unt.edu Annotating and identifying emotions in text C Strapparava, R Mihalcea – Intelligent Information Access, 2010 – Springer … This is a little shocking to us fragile Americans, who are used to waving to each other in greeting. In a pre-processing step, we removed all the SGML tags and kept only the body of the blogposts, which was then passed through a tokenizer. … Cited by 7 Related articles All 3 versions

[PDF] from iiit.ac.in Re-engineering Machine Translation Systems through Symbiotic Approach P Kumar, R Ahmad, AK Rathaur, MK Sinha… – Contemporary …, 2010 – Springer … known, but limited kinds: Machine Translation System, Text to Speech System, Speech Recogni- tion System, Dialog System, Speech to … The fourteen major modules are: Tokenizer, Morp Analyser, POS Tagger, Chunker, Named Entity Recognizer, Head Computation, Vibhakti … Cited by 3 Related articles All 3 versions

[PDF] from userapi.com Embodied conversational agents in Wizard-of-Oz and multimodal interaction applications M Rojc, T Rotovnik, M Brus, D Jan, Z Kacic – Verbal and Nonverbal …, 2007 – Springer … two ongoing implementations of embodied conversational agents in human-computer interaction are discussed: Wizard-of-Oz and multimodal dialogue system. … modules are normally used in the general architecture of any TTS sys- tem (figure 4): tokenizer, morphology analysis … Related articles BL Direct All 4 versions

[PDF] from unideb.hu [PDF] A multimodal analysis of the sequential organization of verbal and nonverbal interaction Á Abuczki – Argumentum, 2011 – argumentum.unideb.hu … 2010), annotations are attached to structures at other levels of analysis, for instance, at the output of a tokenizer. … Regarding the technological implementation of a spoken dialogue system, machine detectable cues of turn-give are silence, a pauselength of average 500 msec … Related articles All 2 versions

Indexing as an ontological support for legal reasoning E Schweighoferf – Technologies for Supporting Reasoning …, 2010 – books.google.com … Next steps will be a deep refinement of the ontology and the development of a dialogue system. … It is then up to legal practice to implement these “simplified syllo- gisms” in knowledge systems, dialog systems etc. 214 Page 240. … Cited by 1 Related articles All 3 versions

Speech recognition system trained with regional speech characteristics IM Bennett, BR Babu, K Morkhandikar… – US Patent …, 2007 – Google Patents Page 1. Illllllllllllllllllllllllllllllllllllllllllllllll US007225125B2 (12) United States Patent ao) Patent no.: us 7,225,125 B2 Bennett et al. (45) Date of Patent: May 29,2007 (54) SPEECH RECOGNITION SYSTEM TRAINED WITH REGIONAL … Cited by 12 Related articles All 4 versions

Method for processing speech using dynamic grammars IM Bennett – US Patent 7,555,431, 2009 – Google Patents Page 1. US007555431B2 (12) UIllt€d States Patent (10) Patent No.: US 7,555,431 B2 Bennett (45) Date of Patent: Jun. 30, 2009 (54) METHOD FOR PROCESSING SPEECH USING G06F 17/20 (2006.01) DYNAMIC GRAMMARS G06F 17/30 (2006.01) (52) US Cl. …. … Cited by 11 Related articles All 4 versions

[PDF] from ktu.lt [PDF] Natural language as programming paradigm in data exploration domain A Laukaitis, O Vasilecas – Information Technology and Control, 2007 – itc.ktu.lt … Figure 2. Idea of the atomic application As mentioned above, one of the biggest problems with NL dialog systems is the number states. … The Unicode tokeniser splits the text into simple tokens and is used for the next steps of the natural language processing. … Cited by 2 Related articles All 4 versions

Distributed internet based speech recognition system with natural language support IM Bennett – US Patent 7,203,646, 2007 – Google Patents Page 1. IIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIII US007203646B2 United States Patent Bennett (io) Patent No.: (45) Date of Patent: US 7,203,646 B2 Apr. 10, 2007 (56) DISTRIBUTED INTERNET BASED SPEECH RECOGNITION SYSTEM … Cited by 11 Related articles All 4 versions

Semantic decoding of user queries I Bennett – US Patent 8,229,734, 2012 – Google Patents … al. …. 7 04/9 “Phillips Speech Processing, ‘Dialog Systems products 7,349,845 B2 3/2008 C0ffm21n et al. SpeechmaniaV2.2 Application Creation EnvironmentiDeveloper’s 7,349,917 B2 3/2008 Forman et al. Guide … Related articles All 4 versions

Methods and algorithms for automatic text analysis VA Yatsko – Automatic Documentation and Mathematical …, 2011 – Springer … 7–13. 3. Nöth, E., Horndasch, A., Gallwitz, F., and Haas, J., Experiences with Commercial Telephone Based Dialogue Systems, Information technology, vol. 46, no. … 35–40. 18. Tokenizer: Opennlp SourceForgeNet, – URL: http://sourceforge.net/apps/mediawiki/opennlp/index. … Related articles All 4 versions

[PDF] from psu.edu [PDF] Semantic Tagging S Ekeklint – 2008 – Citeseer … Page 4. 4 Dialogue act-tagging: The dialogue manager keeps track and steer the dialogue act in a dialogue system. … Some of the analyses done by the pre-processor are: 1. The tokenizer is splitting the text into sentences, lemmas and other units. … Related articles All 10 versions

Method For Transporting Speech Data For A Distributed Recognition System IM Bennett – US Patent App. 12/123,293, 2008 – Google Patents Page 1. (i9) United States (12) Patent Application Publication BENNETT US 20080300878A1 (io) Pub. No.: US 2008/0300878 Al (43) Pub. Date: Dec. 4, 2008 (54) METHOD FOR TRANSPORTING SPEECH DATA FOR A DISTRIBUTED … All 2 versions

EVALUATING PART-OF-SPEECH TAGGING AND PARSING P Paroubek – Evaluation of Text and Speech Systems, 2008 – books.google.com … displayed by a human performing the task under consideration, as Peak (2001) proposes to do when evaluating spoken language dialogue systems. … to be a task far simpler than parsing, a POS tagger is a complex system combining several functions (tokeniser, word/sentence … Related articles All 2 versions

[PDF] from psu.edu [PDF] Prosodic Variation in Spoken Dialogue: Information Status, Affirmative Cue Words, and Turn-Taking A Gravano – 2007 – Citeseer … constituents — meaning none of its child constituents are NPs. We will identify baseNPs in our corpus using the LT-TTT tokenizer (Grover et al., 2000), whose output will be checked manually. We will annotate each baseNP by hand with … Related articles All 6 versions

[PDF] from kwarc.info [PDF] OpenCCG Realizer Manual M White – Documentation of the OpenCCG Realizer, 2008 – svn.kwarc.info … As discussed in [Whi04b], with dialogue systems like COMIC n-gram models can do an excellent job of placing underconstrained adjectival and … classes; the classes to use for this purpose are specified using the replacement-sem-classes attribute of the tokenizer element in the … Cited by 2 Related articles All 2 versions

Speaker characteristics T Schultz – Speaker Classification I, 2007 – Springer … Robot Interaction [41]; Smart Workspaces [26,23,24] relationship/role Speech Translation [31] cultural background Dialog Systems [22] … of relative frequencies of sound units [58], along with various derivatives using multilingual phone recognizers as tokenizer [59], extended n … Cited by 9 Related articles BL Direct All 3 versions

[PDF] from nkjp.pl [PDF] Lexicons and Grammars for Named Entity Annotation in the National Corpus of Polish A Savary, J Piskorski – Intelligent Information Systems, Siedlce, Poland, 2010 – nkjp.pl … based finite-state grammar parser and interpreter. The basic processing compo- nents include, ia, tokenizer, sentence splitter, morphological analyzer, gazetteer look-up component, etc. They can be flexibly combined into a … Cited by 5 Related articles All 5 versions

Multi-stream fusion for speaker classification I Shafran – Speaker Classification I, 2007 – Springer … This means that the spoken-dialog system at a call center failed to recognize two in three words from an entire segment of the population, rendering it practically … This baseline classifier can easily be turned into a tokenizer, whose output is a weighted finite-state automata. … Cited by 2 Related articles BL Direct All 4 versions

[PDF] from univ-mlv.fr Towards Constructing a Chinese Information Extraction System to Support Innovations in Library Services Z Zhixiong, L Sa, W Zhengxin, L Ying – IFLA journal, 2007 – ifl.sagepub.com … It is a sub-component of the SmartWeb multi-modal dialog system. … In fact, the standard GATE suite already includes some resources (such as gazetteer lists, grammar, tagger, tokenizer, segmenter) to support information extraction from Chinese text. Page 5. … Unicode Tokeniser … Cited by 1 Related articles BL Direct All 19 versions

[PDF] from umi.com Automatic presentation of sense-specific lexical information in an intelligent learning system S Eom – 2012 – gradworks.umi.com … increasing number of modern day applications, such as but not limited to machine translation, information retrieval, speech recognition, and dialog systems (Jurafsky and Martin, 2000). … learner lexical database tokenizer tagger lemmatizer word sense classifier user database …

[PDF] from uu.se [PDF] Extraction of synonyms and semantically related words from chat logs F Norlindh – 2012 – lingfil.uu.se … vocabulary. Dialogue systems are often domain specific. … 16 Page 17. 3.2.2 Tokenization The JavaSDM tokenizer was not fully appropriate for noisy data, for example character sequences like “,candy” and “broken,it” were not split up. I …

On the Evaluation of Automatic Parsing of Natural Language P Paroubek – Evaluation of text and speech systems. Text, …, 2007 – books.google.com … displayed by a human performing the task under consideration, as Peak (2001) proposes to do when evaluating spoken language dialogue systems. … to be a task far simpler than parsing, a POS tagger is a complex system combining several functions (tokeniser, word/sentence … Cited by 1 Related articles

[PDF] from csri.gr Embodied Language Processing: A New gGeneration of Language Technology K Pastra, E Balta, P Dimitrakis… – Workshops at the Twenty- …, 2011 – aaai.org … automatic text indexing and retrieval technology is behind powerful search engines on the web, while dialogue systems are increasingly used … An embodied language tokenizer needs to go beyond word boundaries, beyond lexical concepts, to verbal phrases that correspond to … Related articles All 4 versions

[PDF] from uu.se [PDF] Survey on Swedish language resources K Elenius, E Forsbom, B Megyesi – ØØÔ»» ÛÛÛº× Ô º Ø º×» …, 2008 – numerus.ling.uu.se … Other, please specify: 11 19,3% Others specified were: – dialog systems – multimodal systems – translation Page 15. Elenius, Forsbom and Megyesi 7 … Part-of-speech tagger 16 28,1% Tokenizer 14 24,6% Morfological segmenter (stemmer, lemmatiser, compound analyser, etc.) … Cited by 3 Related articles All 12 versions

[PDF] from uu.nl [PDF] www. clarin. eu KS Quochi, I Vogel – CLARIN, 2009 – www-sk.let.uu.nl Page 1. Common Language Resources and Technology Infrastructure www.clarin.eu Language Resources and Tools Survey and Taxonomy and Criteria for the Quality Assessment D5C-2 2010-01-15 Version: 1 Editors: Rolf … Related articles

Human and computer recognition of regional accents and ethnic groups from British English speech A Hanani, MJ Russell, MJ Carey – Computer Speech & Language, 2012 – Elsevier … speech (for example, Yamagishi et al., 2010), automatic accent recognition could also be used to select appropriately accented synthetic speech in the context of an interactive dialogue system. … 1. First, the ‘tokenizer‘ converts the speech waveform into a sequence of symbols. … Cited by 2 Related articles All 3 versions

[PDF] from uni-saarland.de The SEMAINE API: A component integration framework for a naturally interacting and emotionally competent Embodied Conversational Agent M Schröder – 2012 – scidok.sulb.uni-saarland.de … and describes how these technologies are put to use to implement a specific type of dialogue system: a fully autonomous implementation of ‘Sensitive Artificial Listeners’ (SAL). … Page 15. 3 Since an ECA-based interactive dialogue system requires multiple input and … Cited by 1 Related articles

Evaluating Part-of-Speech Tagging and Parsing Patrick Paroubek P Paroubek – Evaluation of Text and Speech Systems, 2007 – Springer … displayed by a human performing the task under consideration, as Peak (2001) proposes to do when evaluating spoken language dialogue systems. … to be a task far simpler than parsing, a POS tagger is a complex system combining several functions (tokeniser, word/sentence … Related articles

[PDF] from psu.edu [PDF] Creating and Maintaining Multi-purpose Lexical Knowledge R Ribeiro, DM De Matos, B Oliveira, C Pona, L Coheur – 2008 – Citeseer … processing (NLP) tools in daily life is becoming ubiquitous if sometimes discreet: spell checkers, summarization tools, and dialogue systems, just to … 5. Using XISPA in a morphological analysis chain: the tokenizer segments the input data; the post- processing module allows to … Related articles All 5 versions

[PDF] from umd.edu A computational theory of the use-mention distinction in natural language S Wilson – 2011 – drum.lib.umd.edu … following will become possible: • Dialog systems can be designed to recognize when a user is attempting to … This was a prime motivation of this work, and contributions toward creating such a dialog system will be discussed in detail in the next section. … Cited by 1 Related articles All 3 versions

[PDF] from brandeis.edu [PDF] Exploiting text for extracting image processing resources G Grefenstette, F Debili, C Fluhr, S Zinger – 2009 – cs.brandeis.edu … 4. Each text version of the page was converted into sentences using a simple text tokenizer (Grefenstette, 1999). … In Proceedings of TREC’2003 pp. 375-382 Jokinen, K. (2003). Natural Interaction in Spoken Dialogue Systems. … Related articles All 17 versions

[PDF] from aminer.org A ranking approach to pronoun resolution P Denis, J Baldridge – Proc. IJCAI, 2007 – aaai.org … of other natural language processing tasks, including –but not limited to– information retrieval, text summarization, and un- derstanding in dialog systems. … The corpus text was preprocessed with the OpenNLP Toolkit3 (ie, a sentence detector, a tokenizer, a POS tagger, and a … Cited by 40 Related articles All 19 versions

[PDF] from kit.edu [PDF] Ontologies and Lexical Semantics in Natural Language understanding P Buitelaar, P Cimiano – A course given at ESSLLI, 2007 – people.aifb.kit.edu … maintaining/populating databases ? Question answering (QA): eg for acquiring important information (eg analysts) ? Dialogue systems: eg for controlling a robot / device, booking flights/rooms etc. ? Machine translation (MT) eg for translating handbooks Page 5. … Cited by 1 Related articles All 4 versions

[PDF] from cmu.edu [PDF] Data-driven Natural Language Generation: Making Machines Talk Like Humans Using Natural Corpora B Langner – 2010 – cs.cmu.edu … With the significant improvements that have been seen in speech applications, the long-held goal of building machines that can have hu- manlike conversations has begun to seem more reachable; there ex- ist spoken dialog systems which can now be used effectively by much … Cited by 1 Related articles All 6 versions

[PDF] from upm.es [PDF] Language Identification using several sources of information with a multiple-Gaussian classifier R Cordoba, LF D’haro… – … Conference of the …, 2007 – www-gth.die.upm.es … Most dialog systems are multilingual, so the language of the caller has to be identified as soon as possible in order to use the appropriate … In [4] they present a GMM classifier called “GMM tokenizer”, where the output of the classifier is used as input to a “language model” (LM … Cited by 3 Related articles All 13 versions

[PDF] from up.ac.za Spoken Language Identification in Resource-scarce Environments M Peché – 2009 – upetd.up.ac.za … tions to be developed later, including spoken dialog systems in domains such as government service delivery or healthcare [28, 29]. … It also explains the Experi- mental Design, focusing especially on the tokenizer and classifier used for the experiments throughout … Related articles

[PDF] from psu.edu [PDF] Utilisation des ontologies pour la modélisation logique d’une commande en langue naturel L Mazuel – Rencontre des étudiants chercheurs en informatique …, 2007 – Citeseer … L’étiqueteur, le tokenizer et le chunker sont entraînés sur des données an- glaises du Wall Street Journal et du corpus Brown. … ELIASSON K.(2007). Case-Based Techniques Used for Dialogue Understanding and Planning in a Human-Robot Dialogue System. In Proc. … Cited by 6 Related articles All 3 versions

[PDF] from aclweb.org [PDF] Third International Joint Conference on Natural Language Processing L Host – 2008 – newdesign.aclweb.org … Rapid Prototyping of Robust Language Understanding Modules for Spoken Dialogue Systems Yuichiro Fukubayashi, Kazunori Komatani, Mikio Nakano, Kotaro … Vaakkriti: Sanskrit Tokenizer Aasish Pappu and Ratna Sanyal……………577 … All 10 versions

[PDF] from uottawa.ca Towards the Development of an Automatic Diacritizer for the Persian Orthography based on the Xerox Finite State Transducer P Nojoumian – 2011 – ruor.uottawa.ca … institutions. For example, modern companies and government organizations try to use efficient automatic dialogue systems to handle high volumes of their client phone calls. TTS systems can be used by the blind and by reader gadgets for millions of readers. … All 2 versions

An automatic approach for ontology-based feature extraction from heterogeneous textual resources C Vicient, D Sánchez, A Moreno – Engineering Applications of Artificial …, 2012 – Elsevier … Another domain-dependent system is SOBA (Buitelaar et al., 2008), a sub-component of the SmartWeb (a multi-modal dialog system that derives answers from unstructured resources such as the Web), which automatically populates a knowledge base with information extracted … Related articles

[PDF] from technion.ac.il A vector space modeling approach to spoken language identification H Li, B Ma, CH Lee – Audio, Speech, and Language Processing …, 2007 – ieeexplore.ieee.org … As a result, after a lan- guage is decoded by the tokenizer of its competitive language, it needs to be evaluated by a set of language models to establish their comparability. … [25] reported a frame-based GMM tokenizer that circumvents the need for phonetic transcription. … Cited by 124 Related articles BL Direct All 12 versions

[PDF] from berkeley.edu A flexible classifier design framework based on multiobjective programming S Yaman, CH Lee – Audio, Speech, and Language Processing, …, 2008 – ieeexplore.ieee.org … This way, we train up to 3-gram phone language model (LM) for each P-PRLM tokenizer-target language pair, resulting in LMs. … There are 258 phonemes in total. For each phone sequence generated from the universal sound tokenizer, we count the occurrence of bi-phones. … Cited by 7 Related articles BL Direct All 6 versions

[PDF] from metu.edu.tr [PDF] TENSE, ASPECT AND MOOD BASED EVENT EXTRACTION FOR SITUATION ANALYSIS AND CRISIS MANAGEMENT ALI HÜRRIYETOGLU – 2012 – etd.lib.metu.edu.tr … As a whole, this system is used in various natural language applications (question answering, dialog systems, database interface systems, etc.). The TimeML specification language mainly deals with event and temporal expressions in natural language texts. … Related articles All 2 versions

Multilinguale Textinhaltserschließung auf militärischen Texten J Grosche, M Wunder – Verteilte Führungsinformationssysteme, 2009 – Springer … Hierunter finden sich Angaben zu Empfänger, Thema, Quelle etc. Token: Diese Schicht enthält die Annotationen, die der Tokenizer und der Part- of-Speech-Tagger liefern. … The CommandTalk Spoken Dialogue System. In Proc. of the 37th Annual Meeting of the ACL (pp. … Related articles

[PDF] from uni-koeln.de [PDF] A Supervised Machine Learning Method for Word Sense Disambiguation of Portuguese Nouns M Zampieri – 2010 – uni-koeln.de … 28 Figure 3.1: Python tokenizer for Portuguese. 48 … complex task for NLP systems: as stated by Leech and Weisser (2000), and their need is usually restricted to spoken dialogue systems (SDS). As the scope of this work is restricted to lexical meaning, it is important to … Related articles All 4 versions

[PDF] from uiuc.edu Modelling space and time in narratives about restaurants ET Mueller – Literary and Linguistic Computing, 2007 – ALLC … the GATE natural language processing architecture (Cunningham et al., 2002); we feed the text through the tokenizer, sentence splitter … They could be used to improve the effectiveness of dialogue systems, help systems, news-tracking services, question-answering systems, and … Cited by 20 Related articles BL Direct All 11 versions

[PDF] from gu.se FROM CORPUS TO LANGUAGE CLASSROOM: reusing Stockholm Umeå Corpus in a vocabulary exercise generator SCORVEX E Volodina – 2008 – gupea.ub.gu.se Page 1. University of Gothenburg Language Technology Programme May, 2008 FROM CORPUS TO LANGUAGE CLASSROOM: reusing Stockholm Umeå Corpus in a vocabulary exercise generator SCORVEX Master Thesis, 30 points Author: Elena Volodina … Related articles All 4 versions

[PDF] from limsi.fr [PDF] Automatic Language Identification M Adda-Decker – 2008 – limsi.fr Page 1. Automatic Language Identification Martine Adda-Decker July 20, 2008 Page 2. 2 Page 3. 8.1. Introduction When listening to our native language we, speech and hearing enabled humans, immediately identify the language being spoken. … Related articles All 2 versions

[PDF] from ntu.edu.sg [PDF] DISCRIMINATIVE LEARNING FOR SPEECH RECOGNITION O DEHZANGI – 2012 – ntu.edu.sg … tion verification [30, 31], or using language recognition and multilingual speech recognition to develop spoken dialogue systems that can function in multilingual environments [32]. Due to strong links between the three recognition tasks, they are investigated in this thesis. … Related articles All 2 versions

[PDF] from shef.ac.uk [PDF] Toward Portable Information Extraction MV Tablan – 2009 – nlp.shef.ac.uk … 136 A.5.3 A Unicode-Aware Graphical Interface . . . . . 136 A.6 Processing Resources for Information Extraction . . . . . 139 A.6.1 The Unicode Tokeniser . . . . . 140 A.6.2 The Gazetteer Look-up Component . . . . . 143 … Related articles All 2 versions

[BOOK] Integration of world knowledge for natural language understanding E Ovchinnikova – 2012 – books.google.com … entails the second one. Concerning natural language processing (NLP), this type of reasoning is intended to facilitate such applications as, for example, question answering, information extraction, and dialog systems. In spite of … Cited by 1 Related articles All 2 versions

[PDF] from uni-saarland.de [PDF] Identification of Idiomatic Expressions Using Parallel Corpora A Mündelein – 2008 – coli.uni-saarland.de … speech sequences; by and large, for example, could get the tags “preposition conjunction adjective”. A dialog system that does not consider MWEs will perform badly when trying to understand the user input. Other applications … Related articles All 2 versions

[PDF] from dcu.ie Treebank-based acquisition of Chinese LFG Resources for Parsing and Generation Y Guo – 2009 – doras.dcu.ie Page 1. Treebank-Based Acquisition of Chinese LFG Resources for Parsing and Generation Yuqing Guo A dissertation submitted in fulfillment of the requirements for the award of Doctor of Philosophy to the Dublin City University School of Computing … Cited by 7 Related articles All 3 versions

[HTML] from googlecode.com [HTML] Natural Language Processing S Bird, E Klein, E Loper, WYW Learn, S Strings… – 2007 – nltk.googlecode.com Natural Language Processing. Authors: Steven Bird, Ewan Klein, Edward Loper. Version: 0.9.6 (draft only, please send feedback to authors). Copyright: © 2001-2008 the authors. License: Creative Commons Attribution-Noncommercial … Cited by 5 Related articles All 3 versions

[PDF] from uzh.ch [PDF] Knowledge Mining over Scientific Literature and Technical Documentation F Rinaldi – 2008 – files.ifi.uzh.ch Page 1. Knowledge Mining over Scientific Literature and Technical Documentation Fabio Rinaldi March 3, 2008 Page 2. Page 3. Contents 1 Introduction 15 1.1 Background . . . . . 21 1.2 Methodologies . . . . . 27 … Related articles All 7 versions

[PDF] from unimi.it [BOOK] Operational Risk Management: a practical approach to intelligent data analysis R Kenett, Y Raanan – 2011 – books.google.com Page 1. Editors RON KENETT YOSSI RAANAN Operational Risk Management A practical approach to intelligent data analysis ~ STATISTICS IN PRACTICE Page 2. Editors RON KENETT YOSSI RAANAN Operational Risk Management … Cited by 16 Related articles All 8 versions

[PDF] from uvt.nl [PDF] Explorations into Unsupervised Corpus Quality Assessment M van de Camp – 2008 – ilk.uvt.nl … Examples of the useful processing of text include: • dialogue systems: computer systems that can recognize, understand and even respond to natural language; • machine translation: systems that can automatically translate a text from one language to another; … Related articles All 2 versions

[PDF] from uu.se [PDF] Data-driven Dependency Parsing for Romanian M Calacean – 2008 – numerus.lingfil.uu.se … sentence. Parsers, the modules that perform this process, are found in many different NLP applications, ranging from spoken dialog systems to informa- … The use of DGA made superfluous other tools for annotation such as, for instance, a tokenizer … Cited by 2 Related articles All 6 versions

[PDF] from harbormist.com [PDF] Generating narrative variation in interactive fiction N Montfort – 2007 – harbormist.com … IF works have existed for about 30 years as forms of text-based computer simulation, instances of dialog systems, and examples of literary art. … 3.5 Other Interactive Natural Language Generation and Dialog Systems…..24 … Cited by 24 Related articles All 16 versions

[TXT] from tdx.cat Factoid question answering for spoken documents PR Comas Umbert – Materia (s), 2012 – tdx.cat … Integrating QA with dialog systems can lead to interactive systems with an interface suitable for providin disambiguation, answer justi?cation, and error explanation to the user [Sonntag, 2009, Dornescu, 2010, Dang et al., 2007]. … Related articles All 4 versions

[PDF] from psu.edu [PDF] Design and Implementation of an Automatic Semantic Annotation Service A Kopp, G Weikum, U Bügel, I Fraunhofer – 2007 – Citeseer … Tokens are either words, or some other units like numbers or punctuation marks. The process of segmentation of a text into tokens is referred to as tokenization. A program performing tokenization is called tokenizer. 1.3.1.2 Part of Speech Tagging … Cited by 1 Related articles All 12 versions

[PDF] from um.edu.my Dynamic Display of Text using Lexical Chains ASB Moghaddam – 2008 – dspace.fsktm.um.edu.my Page 1. Dynamic Display of Text using Lexical Chains ALI SARVGHAD BATN MOGHADDAM DISSERTATION SUBMITTED IN PARTIAL FULFILMENT OF THE REQUIREMENTS FOR THE MASTER OF SOFTWARE ENGINEERING FACULTY OF COMPUTER SCIENCE AND … Related articles

[PDF] from upc.edu Ontology-based Information Extraction C Vicient Monllaró – 2011 – upcommons.upc.edu Page 1. Master in Artificial Intelligence (UPC-URV-UB) Master of Science Thesis Ontology-based Information Extraction Carlos Vicient Monllaó Advisors: Antonio Moreno Ribas, David Sánchez Ruenes June, 23rd 2011 Page 2. v Agraïments … Related articles All 3 versions