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1
Lexicon-based Sentiment Analysis in German: Systematic Evaluation of Resources and Preprocessing Techniques ...
Fehle, Jakob; Schmidt, Thomas; Wolff, Christian. - : Universität Regensburg, 2021
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2
The naturalness challenge: a corpus-based analysis of EN-FR machine-translated language
In: Translating Europe workshop "How to harness translation tools to maximise efficiency and accuracy" ; https://hal.archives-ouvertes.fr/hal-01771892 ; Translating Europe workshop "How to harness translation tools to maximise efficiency and accuracy", UNINT Roma, May 2018, Rome, Italy ; https://www.unint.eu/it/calendario-eventi/tew-how-to-harness-translation-tools-to-maximise-efficiency-and-accuracy.html (2018)
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3
The features of translated language in children’s literature translated from English to Chinese
Zhang, Xiaomin. - : Sydney, Australia : Macquarie University, 2017
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4
Do not build your TTS training corpus randomly
In: Proceedings of the European Signal Processing Conference (EUSIPCO) ; https://hal.inria.fr/hal-01199083 ; Proceedings of the European Signal Processing Conference (EUSIPCO), Aug 2015, Nice, France (2015)
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5
Evaluative lexis in science: A corpus-based study in scientific abstracts
Cava, Amelia Maria. - : Rice University, 2010
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6
Recycling texts: human evaluation of example-based machine translation subtitles for DVD
Flanagan, Marian. - : Dublin City University. School of Applied Language and Intercultural Studies, 2009
In: Flanagan, Marian (2009) Recycling texts: human evaluation of example-based machine translation subtitles for DVD. PhD thesis, Dublin City University. (2009)
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7
Linking Semantic and Knowledge Representations in a Multi-Domain Dialogue System
In: DTIC (2007)
Abstract: We describe a two-layer architecture for supporting semantic interpretation and domain reasoning in dialogue systems. Building systems that support both semantic interpretation and domain reasoning in a transparent and well-integrated manner is an unresolved problem because of the diverging requirements of the semantic representations used in contextual interpretation versus the knowledge representations used in domain reasoning. We propose an architecture that provides both portability and efficiency in natural language interpretation by maintaining separate semantic and domain knowledge representations, and integrating them via an ontology mapping procedure. The ontology mapping is used to obtain representations of utterances in a form most suitable for domain reasoners, and to automatically specialize the lexicon. The use of a linguistically motivated parser for producing semantic representations for complex natural language sentences facilitates building portable semantic interpretation components as well as connections with domain reasoners. Two evaluations demonstrate the effectiveness of our approach: we show that a small number of mapping rules is sufficient for customizing the generic semantic representation to a new domain, and that our automatic lexicon specialization technique improves parser speed and accuracy. ; Prepared in cooperation with the University of Edinburgh, UK. Sponsored in part by the Defense Advanced Research Projects Agency (DARPA).
Keyword: *KNOWLEDGE BASED SYSTEMS; *NATURAL LANGUAGE; *SEMANTICS; Computer Programming and Software; Information Science; LEXICOGRAPHY; LINGO-ERG GRAMMAR; Linguistics; MAN COMPUTER INTERFACE; MRS COMPUTER PROGRAM; ONTOLOGY; PARSERS; SOCIAL COMMUNICATION; SPEECH; SYNTAX; TEST AND EVALUATION; TRIPS COMPUTER PROGRAM; UDRS COMPUTER PROGRAM; VOCABULARY; Voice Communications; WORDS(LANGUAGE)
URL: http://www.dtic.mil/docs/citations/ADA534412
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA534412
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8
Stochastic Language Generation in a Dialogue System: Toward a Domain Independent Generator
In: DTIC (2004)
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9
Natural Language Processing Systems Evaluation Workshop Held in Berkely, California on 18 June 1991
In: DTIC AND NTIS (1991)
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10
Rule-Based Frequency Domain Speech Coding
In: DTIC AND NTIS (1990)
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11
Hierarchical Agglomerative Clustering of English-Bulgarian Parallel Corpora
In: http://www.cs.york.ac.uk/aig/papers/Alfred_2007a.pdf
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12
A Corpus-Based Learning Method of Compound Noun Indexing Rules for Korean
In: http://bric.postech.ac.kr/~kjh/Main.ps
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