... from the source language to the target language by using machinetranslation services. However, though machinetranslation techniques have been advanced a lot, the machinetranslation quality ... 920results of machinetranslation quality prediction and cross -language summarization, respectively. We discuss in Section 6 and conclude this paper in Section 7. 2 Related Work 2.1 MachineTranslation ... Prediction Machine translation evaluation aims to assess the correctness and quality of the translation. Usu-ally, the human reference translation is provided, and various methods and metrics...
... Statistical significance tests for machine translation evaluation. In Proceedings of the2004 Conference on Empirical Methods in Natural Language Processing (EMNLP 2004).Chin-Yew Lin and Eduard ... evaluating withROUGE/BE and Pyramid, DUC and TAC also askedhuman judges to score every candidate summarywith regard to its content, readability, and overall re-sponsiveness.DUC and TAC defined linguistic ... LinguisticsCombining Coherence Models andMachineTranslation Evaluation Metricsfor Summarization EvaluationZiheng Lin†, Chang Liu‡, Hwee Tou Ng‡ and Min-Yen Kan‡†SAP Research, SAP...
... its generation space’. In surface realisation, we aim to optimise thetradeoff between alignment and consistency (Picker-ing and Garrod, 2004; Halliday and Hasan, 1976) onthe one hand, and ... M. The-une and E. Krahmer, editors, Empirical Methodson NaturalLanguage Generation, pages 337–361,Berlin/Heidelberg, Germany. Springer.Irene Langkilde and Kevin Knight. 1998. Generation that ... greedy or random baselines.1 IntroductionSurface realisation decisions in a Natural Language Generation (NLG) system are often made accord-ing to a language model of the domain (Langkilde and Knight,...
... Foundations of Speech and Language Processing, 37-72, Springer-Verlag.D. Jurafsky and J. Martin. 2008. Speech and Language Processing, 2nd Edition, Prentice Hall.R. Kneser and H. Ney. 1995. Improved ... Large language models in ma-chine translation. The 2007 Conference on EmpiricalMethods in NaturalLanguage Processing (EMNLP),858-867.E. Charniak. 2001. Immediate-head parsing for language models. ... Charniak, K. Knight and K. Yamada. 2003. Syntax-based language models for statistical machine transla-tion. MT Summit IX., Intl. Assoc. for Machine Trans-lation.C. Chelba and F. Jelinek. 1998....
... easily to suit a naturallanguage gen-eration system’s capability by balancingthe strengths and weaknesses of its sub-components (e.g. its aggregation and re-ferring expression generation capability).Our ... method results in significantly bet-ter sentence generation outcomes than awidely adopted approach.1 IntroductionThe problem of sentence boundary determination in natural languagegeneration exists ... for naturallanguage generation that optimizes a set of criteria based onexamples in a corpus. Compared to exist-ing sentence boundary determination ap-proaches, our work offers three signifi-cant...
... understanding of the cognitive dynamics that shape and evolve natural language, perhaps the one useful naturallanguage interface that migjat be de- veloped would allow individuals and groups ... commands, self-defined commands and self progra,,m4ng of interfaces for individuals and groups. In addition to the standard message, confer- ence and notebook features, EIES has been designed ... ideal. Naturallanguage is wordy (redun- dant) and imprecise. Most b,*m,m groups who have a need to communicate quickly and accurately tend to develop a rather well specified subset of natural language...
... extension of the language- processlng and data access components that make it possible for an end user to query the new database in natural language. A major benefit of using naturallanguage is ... LUNAR [Woods, Kaplan, and Webber, 1972], PLANES [Waltz, 1975], REL [Thompson, 1975], and CHAT [Warren, 1981]) entails two major consequences for the design of a natural -language interface. First, ... TRANSPORTABLE NATURAL -LANGUAGE INTERFACES: PROBLEMS AND TECHNIQUES Barbara J. Grosz Artificial Intelligence Center SRI International, Menlo Park, CA 94025 Department of Computer and Information...
... PANEL NATURAL LANGUAGEAND DATABASES, AGAIN Karen Sparck Jones Computer Laboratory, University of Cambridge Corn Exchange Street, Cambridge CB2 3QG, England INTRODUCTION Natural Languageand ... environment for language processing research, because it is insufficiently demanding in its linguistic aspects and too idiosyncratically demanding in its non-linguistic ones; and to propose ... obvious problems of language and knowledge processing. But I believe that database query is reaching the end of its utility for fundamental research on natural language understanding, for two...
... a naturallanguage inter- face to include the programming environment is that if the interface were being developed in such an environment, one could use naturallanguage to develop the natural ... raise include a greater need for some language production capability (where the ordinary database query system can get by with only language un- derstanding), and a greater need for some discourse ... interface of this kind, some dialogue between the user and the system would be useful, especially in cases where a request was too vague, and the system (like an expert system) could present...
... of Formal Semantics to English-Japanese Machine Tran elation. Doctoral Thesis, Kyoto University, 1083. Schank, R. C. and Birnbaum. Memory, Meaning, and Syntax. Technical Report 189, Yale ... marker seems to be reasonable if we see a language like Japanese in which surface case is explicitly indicated by postpositions. Thus we can assign to the translation of our sample sentence a PAL ... Flowers and Lawrence Birnbanm of Yale University, Department of Computer Science. References [Bobrow 81] [Kaplan 82] [Montague 74] [Nishida 88] [Schank 80] [Schank 82] Bobrow, D. G. and...
... Franz J.Och, and Jeffrey Dean. 2007. Large language mod-els in machine translation. In Proceedings of the2007 Joint Conference on Empirical Methods in Nat-ural Language Processing and Computational ... HI,April.Andrew Finch and Eiichiro Sumita. 2009. Bidirectionalphrase-based statistical machine translation. In Pro-ceedings of the 2009 Conference on Empirical Meth-ods in NaturalLanguage ... Conference on Spoken Language Processing,pages 901–904, Denver, Colorado, USA, September.David Talbot and Miles Osborne. 2007. Randomised language modelling for statistical machine translation. In...
... range ofinput types, and must be able to gracefully dealwith dysfluencies, false starts, and other ungram-matical input. In naturallanguage generation, onthe other hand, robustness is not ... Langkilde and Kevin Knight. 1998b. The practi-cal value of n-grams in generation. In Proceedingsof the International NaturalLanguage Generation Workshop, Niagara-on-the-Lake, Ontario.Fernando ... possibleoutputs from a naturallanguagegeneration sys-tem. One approach to this more general problem,taken by the ‘Nitrogen’ generator (Langkilde and Knight, 1998a; Langkilde and Knight, 1998b),takes...