Relevant bibliographies by topics / Language Technology (Computational Linguistics)

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Academic literature on the topic 'Language Technology (Computational Linguistics)'

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Published: 4 June 2021
Last updated: 6 February 2022

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Journal articles on the topic "Language Technology (Computational Linguistics)"

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Argamon, Shlomo Engelson. "Register in computational language research." Register Studies 1, no. 1 (2019): 100–135. http://dx.doi.org/10.1075/rs.18015.arg.

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Abstract Shlomo Argamon is Professor of Computer Science and Director of the Master of Data Science Program at the Illinois Institute of Technology (USA). In this article, he reflects on the current and potential relationship between register and the field of computational linguistics. He applies his expertise in computational linguistics and machine learning to a variety of problems in natural language processing. These include stylistic variation, forensic linguistics, authorship attribution, and biomedical informatics. He is particularly interested in the linguistic structures used by speak
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Musthofa, Musthofa. "COMPUTATIONAL LINGUISTICS (Model Baru Kajian Linguistik dalam Perspektif Komputer)." Adabiyyāt: Jurnal Bahasa dan Sastra 9, no. 2 (2010): 247. http://dx.doi.org/10.14421/ajbs.2010.09203.

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This paper describes a new discipline in applied linguistics studies, computational linguistics. It’s a new model of applied linguistics which is influenced by computer technology. Computational linguistics is a discipline straddling applied linguistics and computer science that is concerned with the computer processing of natural languages on all levels of linguistic description. Traditionally, computational linguistics was usually performed by computer scientists who had specialized in the application of computers to the processing of a natural language. Computational linguists often work as
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Antopolsky, Alexander. "Language resources and technology in Russia: state and prospects. (Review)." Social novelties and Social sciences, no. 2 (2021): 114–31. http://dx.doi.org/10.31249/snsn/2021.02.08.

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The author determines the concept of linguistic information resources, gives an overview of their classifications. Describes the most significant Russian catalogs of linguistic information resources and the country's leading organizations in the field of computational linguistics. Discusses the priority tasks of creating a Russian infrastructure for linguistic information resources.
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Jensen, Kim Ebensgaard. "Linguistics in the digital humanities: (computational) corpus linguistics." MedieKultur: Journal of media and communication research 30, no. 57 (2014): 20. http://dx.doi.org/10.7146/mediekultur.v30i57.15968.

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<p class="p1">Corpus linguistics has been closely intertwined with digital technology since the introduction of university computer mainframes in the 1960s. Making use of both digitized data in the form of the language corpus and computational methods of analysis involving concordancers and statistics software, corpus linguistics arguably has a place in the digital humanities. Still, it remains obscure and fi gures only sporadically in the literature on the digital humanities. Th is article provides an overview of the main principles of corpus linguistics and the role of computer technol
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Chomsky, Noam. "Three Factors in Language Design." Linguistic Inquiry 36, no. 1 (2005): 1–22. http://dx.doi.org/10.1162/0024389052993655.

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The biolinguistic perspective regards the language faculty as an “organ of the body,” along with other cognitive systems. Adopting it, we expect to find three factors that interact to determine (I-) languages attained: genetic endowment (the topic of Universal Grammar), experience, and principles that are language- or even organism-independent. Research has naturally focused on I-languages and UG, the problems of descriptive and explanatory adequacy. The Principles-and-Parameters approach opened the possibility for serious investigation of the third factor, and the attempt to account for prope
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KOL, SHELI, BRACHA NIR, and SHULY WINTNER. "Computational evaluation of the Traceback Method." Journal of Child Language 41, no. 1 (2013): 176–99. http://dx.doi.org/10.1017/s0305000912000694.

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ABSTRACTSeveral models of language acquisition have emerged in recent years that rely on computational algorithms for simulation and evaluation. Computational models are formal and precise, and can thus provide mathematically well-motivated insights into the process of language acquisition. Such models are amenable to robust computational evaluation, using technology that was developed for Information Retrieval and Computational Linguistics. In this article we advocate the use of such technology for the evaluation of formal models of language acquisition. We focus on the Traceback Method, prop
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Antopolsky, A. B. "International Activities in the Field of Language Technologies and Resources." Information and Innovations 16, no. 2 (2021): 5–22. http://dx.doi.org/10.31432/1994-2443-2021-16-2-5-22.

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Describes the international organizations active in the field of language technologies and resources, as well as the projects they are implementing. The following areas are highlighted: computational linguistics in general, support for endangered languages, terminology and translation activities, standardization. Highlighted organizations and projects working in the technology of the Semantic Web and related open data. Organizations and projects in the field of language technologies and resources in Europe are considered separately.
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Liberman, Mark, and Charles Wayne. "Human Language Technology." AI Magazine 41, no. 2 (2020): 22–35. http://dx.doi.org/10.1609/aimag.v41i2.5297.

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Human language technology encompasses a wide array of speech and text processing capabilities. The Defense Advanced Research Projects Agency’s pioneering research on automatic transcription, translation, and content analysis were major artificial intelligence success stories that changed science fiction into social fact. During a 40-year period, 10 seminal DARPA programs produced breakthrough capabilities that were further improved and widely deployed in popular consumer products, as well as in many commercial, industrial, and governmental applications. The Defense Advanced Research Projects A
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Chinkina, Maria, Simón Ruiz, and Detmar Meurers. "Crowdsourcing evaluation of the quality of automatically generated questions for supporting computer-assisted language teaching." ReCALL 32, no. 2 (2019): 145–61. http://dx.doi.org/10.1017/s0958344019000193.

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AbstractHow can state-of-the-art computational linguistic technology reduce the workload and increase the efficiency of language teachers? To address this question, we combine insights from research in second language acquisition and computational linguistics to automatically generate text-based questions to a given text. The questions are designed to draw the learner’s attention to target linguistic forms – phrasal verbs, in this particular case – by requiring them to use the forms or their paraphrases in the answer. Such questions help learners create form-meaning connections and are well su
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Chapelle, Carol A. "Call–English as a Second Language." Annual Review of Applied Linguistics 16 (March 1996): 138–57. http://dx.doi.org/10.1017/s0267190500001483.

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CALL for English as a second language1 is an interdisciplinary area of inquiry which has been influenced primarily by educational technology (Reiser, 1987) but also by fields such as computational linguistics2 and recently by applied linguistics as well. These related fields contribute diverse epistemologies which shape CALL research questions and methods. The diversity in CALL research can also be explained in party be the current variety of approaches to CALL development and use. Through the 1970s and early 1980s, pedagogical objectives in CALL were focused primarily, although not exclusivel
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Dissertations / Theses on the topic "Language Technology (Computational Linguistics)"

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Stanley, Theban. "A robust architecture for human language technology systems." Master's thesis, Mississippi State : Mississippi State University, 2006. http://sun.library.msstate.edu/ETD-db/ETD-browse/browse.

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Holmqvist, Maria. "Word Alignment by Re-using Parallel Phrases." Licentiate thesis, Linköping University, Linköping University, NLPLAB - Natural Language Processing Laboratory, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-15463.

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<p>In this thesis we present the idea of using parallel phrases for word alignment. Each parallel phrase is extracted from a set of manual word alignments and contains a number of source and target words and their corresponding alignments. If a parallel phrase matches a new sentence pair, its word alignments can be applied to the new sentence. There are several advantages of using phrases for word alignment. First, longer text segments include more  context and will be more likely to produce correct word alignments than shorter segments or single words. More importantly, the use of longer phra
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Jansche, Martin. "Inference of string mappings for speech technology." Columbus, Ohio : Ohio State University, 2003. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1061209163.

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Thesis (Ph. D.)--Ohio State University, 2003.<br>Title from first page of PDF file. Document formatted into pages; contains xv, 268 p.; also includes graphics. Includes abstract and vita. Advisor: Chris Brew, Dept. of Linguistics. Includes bibliographical references (p. 252-266) and index.
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Laws, Mark R., and n/a. "Maori language integration in the age of information technology: a computational approach." University of Otago. Department of Information Science, 2001. http://adt.otago.ac.nz./public/adt-NZDU20070517.123300.

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A multidisciplinary approach that involves language universals, linguistic discourse analysis and computer information technology are combined to support the descriptive nature of this research dissertation. Utilising comparative methods to determine rudimentary language structures which reflect both the scientific and historic parameters that are embedded in all languages. From a hypothesis to the proof of concept, a multitude of computer applications have been used to test these language models, templates and frameworks. To encapsulate this entire approach, it is best described as "designing
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Casula, Camilla. "Transfer Learning for Multilingual Offensive Language Detection with BERT." Thesis, Uppsala universitet, Institutionen för lingvistik och filologi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-412450.

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The popularity of social media platforms has led to an increase in user-generated content being posted on the Internet. Users, masked behind what they perceive as anonymity, can express offensive and hateful thoughts on these platforms, creating a need to detect and filter abusive content. Since the amount of data available on the Internet is impossible to analyze manually, automatic tools are the most effective choice for detecting offensive and abusive messages. Academic research on the detection of offensive language on social media has been on the rise in recent years, with more and more s
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Kotsifas, Dimitrios. "Intonation and sentence type interpretation in Greek : A production and perception approach." Thesis, University of Skövde, School of Humanities and Informatics, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-2960.

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<p>This thesis examines the intonation patterns of Modern Greek with regard to different interpretations of the sentence types (declarative, interrogative, imperative).</p><p>14 utterances are produced by Greek native speakers (2 men and 2 women) so as to express various speech acts: STATEMENT, QUESTION, COMMAND and REQUEST.</p><p>The acquisition of the F0 curve for each utterance by means of the Wavesurfer tool leads to an analysis of the pitch movements and their alignments.</p><p>After the F0 curves are analyzed and illustrated using the Excel program we are able to compare and group them.
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Mollevik, Johan. "Natural language interfaces over spatial data : investigations in scalability, extensibility and reliability." Licentiate thesis, Umeå universitet, Institutionen för datavetenskap, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-87705.

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Perkins, Drew. "Separating the Signal from the Noise: Predicting the Correct Entities in Named-Entity Linking." Thesis, Uppsala universitet, Institutionen för lingvistik och filologi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-412556.

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In this study, I constructed a named-entity linking system that maps between contextual word embeddings and knowledge graph embeddings to predict correct entities. To establish a named-entity linking system, I first applied named-entity recognition to identify the entities of interest. I then performed candidate generation via locality sensitivity hashing (LSH), where a candidate group of potential entities were created for each identified entity. Afterwards, my named-entity disambiguation component was performed to select the most probable candidate. By concatenating contextual word embedding
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Yoon, Hyunsook. "An investigation of students' experiences with corpus technology in second language academic writing." Connect to this title online, 2005. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1109806353.

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Thesis (Ph. D.)--Ohio State University, 2005.<br>Document formatted into pages; contains 307 p. Includes bibliographical references. Abstract available online via OhioLINK's ETD Center; full text release delayed at author's request until 2006 March 7.
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Svanfeldt, Gunilla. "Expressiveness in virtual talking faces." Licentiate thesis, Stockholm : Department of Speech, Music and Hearing, School of Computer Science and Communication, Kungliga Tekniska högskolan (KTH), 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-4210.

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Books on the topic "Language Technology (Computational Linguistics)"

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Panchanan, Mohanty, Arulmozi S, Dravidian University, and Central Institute of Indian Languages., eds. Papers on language technology. Dravidian University, 2008.

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Corpus linguistics and language technology: With reference to Indian languages. Mittal Publications, 2005.

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Junqua, Jean-Claude. Robustness in Language and Speech Technology. Springer Netherlands, 2001.

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Language, technology, and society. Oxford University Press, 2010.

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Witt, Andreas. Linguistic modeling of information and markup languages: Contributions to language technology. Springer, 2010.

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Programming for linguists: Java technology for language researchers. Blackwell Publishers, 2002.

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John, Osborne, and Schulte Frits, eds. Foreign language teaching and information and communication technology. P. Lang, 2001.

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Sporleder, Caroline. Language technology for cultural heritage: Selected papers from the LaTeCH workshop series. Springer, 2011.

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(2001), International Workshop on Parsing Technologies. New developments in parsing technology. Kluwer Academic Publishers, 2004.

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C, Bunt Harry, Carroll John 1960-, and Satta Giorgio, eds. New developments in parsing technology. Kluwer Academic Publishers, 2004.

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Book chapters on the topic "Language Technology (Computational Linguistics)"

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Calzolari, Nicoletta. "Computational lexicons and corpora: Complementary components in human language technology." In Linguistics Today – Facing a Greater Challenge. John Benjamins Publishing Company, 2004. http://dx.doi.org/10.1075/z.126.06cal.

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Borin, Lars, Shafqat Mumtaz Virk, and Anju Saxena. "Language Technology for Digital Linguistics: Turning the Linguistic Survey of India into a Rich Source of Linguistic Information." In Computational Linguistics and Intelligent Text Processing. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-77113-7_42.

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Graliński, Filip, Krzysztof Jassem, and Marcin Junczys-Dowmunt. "PSI-Toolkit: A Natural Language Processing Pipeline." In Computational Linguistics. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-34399-5_2.

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Hausser, Roland. "Computational language analysis." In Foundations of Computational Linguistics. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-662-04337-0_2.

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Hausser, Roland. "Computational language analysis." In Foundations of Computational Linguistics. Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-662-03920-5_2.

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Hausser, Roland. "Language communication." In Foundations of Computational Linguistics. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-662-04337-0_5.

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Hausser, Roland. "Language Communication." In Foundations of Computational Linguistics. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-41431-2_4.

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Hausser, Roland. "Language communication." In Foundations of Computational Linguistics. Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-662-03920-5_5.

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Mufwene, Salikoko S. "Language as technology." In Linguistik Aktuell/Linguistics Today. John Benjamins Publishing Company, 2013. http://dx.doi.org/10.1075/la.202.22muf.

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Weinberg, Linda. "Motivation, Technology and Language Learning." In Educational Linguistics. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-40956-6_20.

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Conference papers on the topic "Language Technology (Computational Linguistics)"

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Bird, Steven. "Decolonising Speech and Language Technology." In Proceedings of the 28th International Conference on Computational Linguistics. International Committee on Computational Linguistics, 2020. http://dx.doi.org/10.18653/v1/2020.coling-main.313.

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Bird, Steven. "Decolonising Speech and Language Technology." In Proceedings of the 28th International Conference on Computational Linguistics. International Committee on Computational Linguistics, 2020. http://dx.doi.org/10.18653/v1/2020.coling-main.313.

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Kuhn, Roland, Fineen Davis, Alain Désilets, et al. "The Indigenous Languages Technology project at NRC Canada: An empowerment-oriented approach to developing language software." In Proceedings of the 28th International Conference on Computational Linguistics. International Committee on Computational Linguistics, 2020. http://dx.doi.org/10.18653/v1/2020.coling-main.516.

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Kuhn, Roland, Fineen Davis, Alain Désilets, et al. "The Indigenous Languages Technology project at NRC Canada: An empowerment-oriented approach to developing language software." In Proceedings of the 28th International Conference on Computational Linguistics. International Committee on Computational Linguistics, 2020. http://dx.doi.org/10.18653/v1/2020.coling-main.516.

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Horváth, Csilla, Norbert Szilágyi, Veronika Vincze, and Àgoston Nagy. "Language technology resources and tools for Mansi: an overview." In Proceedings of the Third Workshop on Computational Linguistics for Uralic Languages. Association for Computational Linguistics, 2017. http://dx.doi.org/10.18653/v1/w17-0606.

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Basic, Bojana Dalbelo, Zdravko Dovedan, Ida Raffaelli, Sanja Seljan, and Marko Tadic. "Computational Linguistic Models and Language Technologies for Croatian." In 2007 29th International Conference on Information Technology Interfaces. IEEE, 2007. http://dx.doi.org/10.1109/iti.2007.4283826.

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Prud'hommeaux, Emily, Eric Morley, Masoud Rouhizadeh, et al. "Computational analysis of trajectories of linguistic development in autism." In 2014 IEEE Spoken Language Technology Workshop (SLT). IEEE, 2014. http://dx.doi.org/10.1109/slt.2014.7078585.

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Blodgett, Su Lin, Solon Barocas, Hal Daumé III, and Hanna Wallach. "Language (Technology) is Power: A Critical Survey of “Bias” in NLP." In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics, 2020. http://dx.doi.org/10.18653/v1/2020.acl-main.485.

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Kankainen, Kristian. "The use of Extract Morphology for Automatic Generation of Language Technology for Votic." In Proceedings of the Fifth International Workshop on Computational Linguistics for Uralic Languages. Association for Computational Linguistics, 2019. http://dx.doi.org/10.18653/v1/w19-0315.

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Schlögl, Stephan, Pierrick Milhorat, Gérard Chollet, and Jérôme Boudy. "Designing Language Technology Applications: A Wizard of Oz Driven Prototyping Framework." In Proceedings of the Demonstrations at the 14th Conference of the European Chapter of the Association for Computational Linguistics. Association for Computational Linguistics, 2014. http://dx.doi.org/10.3115/v1/e14-2022.

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