Machine translation310 pages1234patel-2022-low-resource-authorship-style-transferLow-Resource Authorship Style Transfer: Can Non-Famous Authors Be Imitated?pavlick-2015-ppdb-2-0-better-paraphrasePPDB 2.0: Better paraphrase ranking, fine-grained entailment relations, word embeddings, and style classificationpavlick-2016-empirical-analysis-formality-online-communicationAn Empirical Analysis of Formality in Online Communicationpavlova-2023-bridging-semantic-frameworks-mapping-drsBridging Semantic Frameworks: mapping DRS onto AMRperrella-2024-beyond-correlation-interpretable-evaluation-machineBeyond Correlation: Interpretable Evaluation of Machine Translation Metricspettersson-2013-normalisation-historical-text-context-sensitiveNormalisation of Historical Text Using Context-Sensitive Weighted Levenshtein Distance and Compound Splittingpham-2018-fixing-translation-divergences-parallel-corporaFixing Translation Divergences in Parallel Corpora for Neural 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machine-learned sentence realization componentsmith-2006-quasi-synchronous-grammars-alignment-softQuasi-Synchronous Grammars: Alignment by Soft Projection of Syntactic Dependenciessnover-2006-study-translation-edit-rate-targetedA Study of Translation Edit Rate with Targeted Human Annotationsomers-1990-machine-translation-without-source-textMachine Translation without a source textsomers-1995-problems-second-generation-architecture-newProblems with the second generation architecture and new trends in MTsong-2017-amr-text-generation-synchronous-nodeAMR-to-text Generation with Synchronous Node Replacement Grammarsong-2019-semantic-neural-machine-translation-amrSemantic Neural Machine Translation Using AMRstymne-2011-blast-tool-error-analysis-machineBlast: A Tool for Error Analysis of Machine Translation Outputsulem-2018-semantic-structural-evaluation-text-simplificationSemantic Structural Evaluation for Text Simplificationsulem-2018-simple-effective-text-simplification-semanticSimple and 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translationtytler-1791-essay-principles-translationEssay on the Principles of Translationuchida-1993-interlingua-multilingual-machine-translationInterlingua for Multilingual Machine Translationvandevoorde-2020-semantic-differences-translation-exploringSemantic differences in translation: Exploring the field of inchoativityvergari-2015-translation-techniques-interpretative-phenomena-greekTranslation Techniques and Interpretative Phenomena in the Greek Version of the Hebrew Bible: A Study of the Figurative Use of the Noun צֵל 'Shadow'vilar-2006-error-analysis-statistical-machine-translationError Analysis of Statistical Machine Translation Outputvirk-2014-developing-interlingual-translation-lexicon-wordnetsDeveloping an interlingual translation lexicon using WordNets and Grammatical Frameworkwahlster-1995-verbmobil-drt-based-translation-spontaneousVerbmobil: Towards a DRT-based translation of spontaneous negotiation dialogueswang-2016-character-translation-edit-rate-characterCharacTer: Translation Edit Rate on Character Levelwang-2021-evaluating-text-generation-discourse-representationEvaluating Text Generation from Discourse Representation Structureswein-2023-measuring-fine-grained-semantic-equivalenceMeasuring Fine-Grained Semantic Equivalence with Abstract Meaning Representationwein-2024-assessing-cross-linguistic-utility-abstractAssessing the Cross-linguistic Utility of Abstract Meaning Representationwein-2024-lost-translationese-reducing-translation-effectLost in Translationese? Reducing Translation Effect Using Abstract Meaning Representationwhite-2007-broad-coverage-surface-realization-ccgTowards broad coverage surface realization with CCGwhite-2008-more-precise-analysis-punctuation-broadA More Precise Analysis of Punctuation for Broad-Coverage Surface Realization with CCGwhitelock-1992-shake-bake-translationShake-and-Bake Translationwilks-1976-semantics-world-knowledge-mtSemantics and world knowledge in MTwong-2007-generation-inverting-semantic-parser-thatGeneration by Inverting a Semantic Parser that Uses Statistical Machine Translationwoodsend-2011-learning-simplify-sentences-quasi-synchronousLearning to Simplify Sentences with Quasi-Synchronous Grammar and Integer Programmingwu-1997-stochastic-inversion-transduction-grammars-bilingualStochastic Inversion Transduction Grammars and Bilingual Parsing of Parallel Corporawu-2010-treebank-chinese-bible-translationsTreebank of Chinese Bible Translationswu-2011-effective-use-function-words-ruleEffective Use of Function Words for Rule Generalization in Forest-Based Translationwu-2018-creating-translation-matrix-bible-sCreating a Translation Matrix of the Bible's Names Across 591 Languageswubben-2012-sentence-simplification-monolingual-machine-translationSentence Simplification by Monolingual Machine Translationxu-2012-paraphrasing-styleParaphrasing for Stylexu-2016-optimizing-statistical-machine-translation-textOptimizing Statistical Machine Translation for Text Simplificationxu-2017-shakespeare-twitter-what-are-languageFrom Shakespeare to Twitter: What are Language Styles all about?xu-2020-incorporate-semantic-structures-into-machineIncorporate Semantic Structures into Machine Translation Evaluation via UCCAxue-2014-not-interlingua-but-close-comparisonNot an Interlingua, But Close: Comparison of English AMRs to Chinese and Czech1234This page in Markdown → https://md.mova.elamur.ai/free/en/docs/papers/mtrans/page/3/