Sentence Generation Module

Notes:

The sentence generation module is a component of a dialog system that is responsible for generating natural language sentences that can be output to the user. This module typically receives input from a variety of other modules, such as the natural language understanding module, the conversation control module, and the ontology extraction module. It then uses this information to generate sentences that are appropriate for the current conversation and the user’s goals and preferences.

The sentence generation module typically includes a set of rules or algorithms that define how the system should generate sentences based on the current context and the user’s goals and preferences. For example, the module may use rules to identify the key words and phrases in the user’s input, and then use these words and phrases to generate sentences that are related to the user’s input. It may also use algorithms to generate sentences that are more complex or sophisticated, such as sentences that involve natural language processing or logical reasoning.

Once the sentences have been generated, they are passed to the language generation module, which converts them into natural language text that can be output to the user. The language generation module may also apply additional processing, such as prosody modeling or voice transformation, to make the generated sentences more natural and expressive.

Conceptual data modeling is the process of creating a high-level, abstract representation of the data that an organization or system needs to store and manage. This representation is typically in the form of a diagram or model that shows the main entities (such as people, places, or things) that the system needs to track and the relationships between them. The goal of conceptual data modeling is to capture the key concepts and requirements of the system without getting bogged down in the details of how the data will be stored and accessed.
Virtual storyteller is a type of AI-powered system or application that generates narratives, stories, or dialogs. It can be used in various ways such as in entertainment (creating stories, games, movies) or in education (to generate interactive lessons or personalized learning experiences). A virtual storyteller can be able to understand natural language inputs, to generate coherent and consistent stories, to adapt its storytelling to the audience’s age, background, preferences and to interact with the audience by answering questions or by integrating their inputs in the story.

Wikipedia:

Conceptual schema

Automatic generation of Tamil lyrics for melodies A Ramakrishnan A, S Kuppan, SL Devi – Proceedings of the Workshop …, 2009 – dl.acm.org … sequence of syllables. This sequence is presented to the Sentence Generation module which uses the Dijkstra’s shortest path algorithm to come up with a meaningful phrase matching the syllabic pattern. 1 Introduction In an … Cited by 17 Related articles All 11 versions

A story generation system based on Propp theory: As a mechanism in an integrated narrative generation system S Imabuchi, T Ogata – Advances in Natural Language Processing, 2012 – Springer … nil) (instrument nil) (from nil) (to nil)) (event ??2 (type action) (ID 5) (time (time5 time6)) (agent age%?? #1) (counter-agent nil) (location loc%??#1) (object nil) (instrument nil) (from loc%?#1) (to loc%??#1)) …. Converted sentence (by sentence generation module in the … Cited by 11 Related articles All 4 versions

Wearable activity recognition for automatic microblog updates H Tian, P Lei, L Xingjuan… – … Mechatronics, 2009. AIM …, 2009 – ieeexplore.ieee.org … intentional behaviors that are identified by the sentence generation module. The location, activities, and time form the input to the sentence generation module which combines them into short sentences observing roughly fixed grammar. … Cited by 7 Related articles All 3 versions

Learning what to talk about in descriptive games H Zaragoza, CH Li – Proceedings of the conference on Human Language …, 2005 – dl.acm.org … modules: the application module which manages the high-level task representation (state information, actions, goals, etc.), the text plan- ning module which chooses messages based on the state of the application module, and the sentence generation module which transforms … Cited by 5 Related articles All 17 versions

Dajare Generating Support Tool-Towards Applicable Linguistic Humor Processing P Dybala, R Rzepka, K Araki – … of The Fourteenth Annual Meeting of The …, 2008 – anlp.jp … dajare timing problem (basing on utterances emotive analysis). This will be a solid basis for the pun including sentence generation module, which will be implemented into a non-task oriented conversational system. References … Cited by 5 Related articles All 2 versions

An optimized approach to voice translation on mobile phones KK Devadkar, R Shankarmani, S Kotian… – Proceedings of the …, 2011 – dl.acm.org … 2.4 Text-to-speech synthesis Text-to-speech synthesizer converts sentence obtained from the sentence generation module into human speech form in the target language. We use FreeTTS[4], an open source software for performing text-to-speech synthesis. … Cited by 1 Related articles All 2 versions

Annotation game for textual entailment evaluation Z Nev??ilová – Computational Linguistics and Intelligent Text …, 2014 – Springer … Moreover, grammatical agreements are needed between verb in past tense and the subject as well as between noun phrases and their modifiers. The function of sentence generation module relies on correct recognition of the subject (which is always in nominative). … Cited by 2 Related articles All 3 versions

Special Indices for LaaLaLaa Lyric Analysis & Generation Framework M Suriyah, M Karky, TV Geetha… – Proc. Internat. Tamil …, 2011 – infitt.org … Tamil. The “Automatic Generation of Tamil Lyrics for Melodies” [3] identifies the required syllable pattern for the lyric and passes this to a sentence generation module which generates meaningful phrases that match the pattern. … Cited by 3 Related articles All 4 versions

An alternate approach towards meaningful lyric generation in Tamil A Ramakrishnan A, SL Devi – Proceedings of the NAACL HLT 2010 …, 2010 – dl.acm.org … Figure 1. System Approach with new ASAI converter 4 Knowledge-based Sentence Generation The goal of the Sentence Generation module is to generate sentences matching the input pattern giv- en in the new asai representation scheme. … Cited by 1 Related articles All 11 versions

Towards a hybrid NLG system for Data2Text in Portuguese JC Pereira, A Teixeira, JS Pinto – Information Systems and …, 2015 – ieeexplore.ieee.org … We have, for Int2, 178 sentences marked as non-intelligible and 465 as intelligible. If this proportion is maintained by MOSES based sentence generation module, in a test with 1000 sentences, we would expect 277 non-intelligible sentences. This means that aprox. … Cited by 1

A Neural Network based Approach for English to Hindi Machine Translation RB Mishra – International Journal of Computer Applications, 2012 – search.proquest.com … and contraction removal module, parser and tagger module, knowledge extraction module, grammar and sentence structure analysis module, ANN and rule based sentence structure mapping module, ANN based word mapping module, sentence generation module, rule based … Cited by 2 Related articles All 5 versions

ANN and Rule Based Method for English to Arabic Machine Translation M Akeel, R Mishra – International Arab Journal of Information Technology ( …, 2014 – Citeseer Page 1. ANN and Rule Based Method for English to Arabic Machine Translation Marwan Akeel and Ravi Mishra Department of Computer Engineering, Indian Institute of Technology (BHU), India Abstract: Machine Translation … Cited by 1 Related articles All 5 versions

Optimized Approach to Voice Translation N Patel, VN Patil – ijsr.net … [1] g) Text-To-Speech Synthesis Text-to-speech synthesizer converts the sentence obtained from the sentence generation module into human speech form in the target language. This is done by using freeTTS software. [1] [3] 4. Data Flow Diagrams … Related articles All 2 versions

Voice Translation on Mobile Phones P Mann, C Morde, M Sankpal – ijesit.com … D. Text to Speech Synthesis Text-to-speech synthesizer converts the sentence obtained from the sentence generation module into human speech form in the target language. This is done by using free TTS software. This process can be further explained as follows:- … Related articles All 2 versions

An Optimized Approach To Voice Translation On Mobile Phones NN Kapse, KA Gole, N Dhuri – esatjournals.org … Section V explains sentence generation module and section VI explains the text-to-speech synthesis module. … Text-to-speech synthesizer converts the sentence obtained from the sentence generation module into human speech form in the target language. … Related articles All 2 versions

Voice Translation on Windows & Linux machine M Yadav, G Hegde – 2014 – academicscience.co.in … [3][7] TEXT-TO-SPEECH SYNTHESIS Text-to-speech synthesizer converts the sentence obtained from the sentence generation module into human speech form in the target language. This is done by using freeTTS software. SPHINX … Related articles All 2 versions

Text Modification Methods for Natural Language Generation JV Vargas – josep.valls.name … 6 and decide how to lead the reader’s attention through the content; a sentence generation module based on a large systemic grammar of English; and an evaluation and plan-perturbation module which revises text plans based on evaluation of text produced[10]. … Related articles

Micro Auto Blogging by Using Granular Tree Based Context Model and AHP IK Kwon, SY Lee – International Journal of Control and Automation, 2013 – sersc.org … and AHP. This system consists of 6 modules as seen in Figure 2: sensing module, user schedule reasoning module, user behavior reasoning module, emotion decision module, and sentence generation module. sensing module … Related articles All 3 versions

Arabic Text Representation using Rich Semantic Graph: A Case Study SS ISMAIL, F MOAWAD – wseas.us … In an earlier work, we have proposed a model where a single document text is represented in a Rich Semantic Graph, then the RSG is reduced, and finally Sentence generation module is invoked to produce an abstractive summary [1,2]. All this is done with the aid of an Arabic … Cited by 1 Related articles All 2 versions

An Implementation of isiXhosa Text-to-Speech Modules to Support e-Services in Marginalized Rural Areas OP Kogeda, S Mhlana, T Mamello, T Olwal – User-Centric Technology …, 2014 – Springer … Phrasing module is used to find out the boundaries of phrases. The phrasing module usually checks the beginning and the end of the sentence. Generation module is used to produce waveforms from the words in a database or from the isiXhosa vocabulary. … Related articles All 4 versions

Creating a Cognitive Agent in a Virtual World: Planning, Navigation, and Natural Language Generation W Hewlett – 2013 – escholarship.org Page 1. … Related articles All 5 versions

Rule-based approach for handling of case markers in English to Urdu/Hindi translation Shahnawaz, RB Mishra – International Journal of …, 2013 – inderscienceonline.com Cited by 1 Related articles All 3 versions

[BOOK] Speech-to-speech translation: a massively parallel memory-based approach H Kitano – 2012 – books.google.com Page 1. SPEECH-TO-SPEECH TRANSILATION A Massively Parallel Memory-Based Approach Hiroaki Kitano Springer Science+Business Media, LLC Page 2. SPEECH-TO-SPEECH TRANSLATION: A MASSIVELY PARALLEL MEMORY-BASED APPROACH Page 3. … Cited by 40 Related articles

Statistical dialog management applied to WFST-based dialog systems C Hori, K Ohtake, T Misu, H Kashioka… – … , Speech and Signal …, 2009 – ieeexplore.ieee.org … The future work in- volves evaluation experiments by humans via speech input and output. Currently, a sentence generation module has not been implemented yet, which may be designed using WFSTs as well. 6. REFERENCE … Cited by 25 Related articles All 6 versions

Studies On A Syntax Based Approach For Translation Between Structurally Different Languages And The Development Of A Prototype For Malayalam To English Translation LR Nair – 2013 – dyuthi.cusat.ac.in … trees. Data structure for bilingual dictionary and the steps in target sentence generation module are also discussed in this chapter. Chapter 6 describes the development of the morphological analyzer module. The algorithm used by the analyzer is explained with Page 17. xiv … Related articles

Summarizing information graphics textually S Demir, S Carberry, KF McCoy – Computational Linguistics, 2012 – MIT Press … sentence-sized units. Finally, the Sentence Generation Module (SGM) realizes these units in natural language, giving particular attention to generating referring expressions for graphical elements when appropriate. In the rest … Cited by 5 Related articles All 11 versions

Constructing Taxonomy of Numerative Classifiers for Asian Languages. K Shirai, T Tokunaga, CR Huang, SK Hsieh, TY Kuo… – IJCNLP, 2008 – aclweb.org … 5 Related Work Bond (2000) proposed a method to choose an appro- priate classifier for a noun by referring its seman- tic class. This method is implemented in a sentence generation module of a machine translation system. … Cited by 6 Related articles All 16 versions

[BOOK] On the use of natural language processing for automated conceptual data modeling S Du – 2008 – books.google.com Page 1. ON THE USE OF NATURAL LANGUAGE PROCESSING FOR AUTOMATED CONCEPTUAL DATA MODELING by Siqing Du Master of Science, Tianjin University, 2003 Submitted to the Graduate Faculty of the School … Cited by 5 Related articles All 4 versions

[BOOK] Speech and language engineering M Rajman – 2007 – books.google.com Page 1. Compu SPEECH AND LANGUAGE ENGINEERING Martin Rajman, Editor EPFL Press Distributed by CRC Press Page 2. Page 3. Page 4. Page 5. SPEECH AND LANGUAGE ENGINEERING Page 6. Page 7. Computer … Cited by 6 Related articles All 2 versions

Virtual Storyteller S Faas – Citeseer Page 1. The Virtual Storyteller Virtual Storyteller An approach to computational story telling S. Faas Graduation committee: – dr. M. Theune – prof. dr. ir. A. Nijholt – dr. ir. HJA op den Akker – dr. DKJ Heylen June 2002, Universiteit Twente Page 2. The Virtual Storyteller ii Abstract … Related articles All 2 versions