[Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/docs/papers/mtrans/page/3/)

[home](https://md.mova.elamur.ai/free/en/) / [docs](https://md.mova.elamur.ai/free/en/docs/) / [papers](https://md.mova.elamur.ai/free/en/docs/papers/) / [Machine translation](https://md.mova.elamur.ai/free/en/docs/papers/mtrans/) / page 3

# Machine translation

310 pages

[1](https://md.mova.elamur.ai/free/en/docs/papers/mtrans/)[2](https://md.mova.elamur.ai/free/en/docs/papers/mtrans/page/2/)**3**[4](https://md.mova.elamur.ai/free/en/docs/papers/mtrans/page/4/)

- [patel-2022-low-resource-authorship-style-transfer](https://md.mova.elamur.ai/free/en/docs/papers/patel-2022-low-resource-authorship-style-transfer/) — Low-Resource Authorship Style Transfer: Can Non-Famous Authors Be Imitated?
- [pavlick-2015-ppdb-2-0-better-paraphrase](https://md.mova.elamur.ai/free/en/docs/papers/pavlick-2015-ppdb-2-0-better-paraphrase/) — PPDB 2.0: Better paraphrase ranking, fine-grained entailment relations, word embeddings, and style classification
- [pavlick-2016-empirical-analysis-formality-online-communication](https://md.mova.elamur.ai/free/en/docs/papers/pavlick-2016-empirical-analysis-formality-online-communication/) — An Empirical Analysis of Formality in Online Communication
- [pavlova-2023-bridging-semantic-frameworks-mapping-drs](https://md.mova.elamur.ai/free/en/docs/papers/pavlova-2023-bridging-semantic-frameworks-mapping-drs/) — Bridging Semantic Frameworks: mapping DRS onto AMR
- [perrella-2024-beyond-correlation-interpretable-evaluation-machine](https://md.mova.elamur.ai/free/en/docs/papers/perrella-2024-beyond-correlation-interpretable-evaluation-machine/) — Beyond Correlation: Interpretable Evaluation of Machine Translation Metrics
- [pettersson-2013-normalisation-historical-text-context-sensitive](https://md.mova.elamur.ai/free/en/docs/papers/pettersson-2013-normalisation-historical-text-context-sensitive/) — Normalisation of Historical Text Using Context-Sensitive Weighted Levenshtein Distance and Compound Splitting
- [pham-2018-fixing-translation-divergences-parallel-corpora](https://md.mova.elamur.ai/free/en/docs/papers/pham-2018-fixing-translation-divergences-parallel-corpora/) — Fixing Translation Divergences in Parallel Corpora for Neural MT
- [pirinen-2019-apertium-fin-eng-rule-based](https://md.mova.elamur.ai/free/en/docs/papers/pirinen-2019-apertium-fin-eng-rule-based/) — Apertium-fin-eng–Rule-based Shallow Machine Translation for WMT 2019 Shared Task
- [popovic-2006-morpho-syntactic-information-automatic-error](https://md.mova.elamur.ai/free/en/docs/papers/popovic-2006-morpho-syntactic-information-automatic-error/) — Morpho-syntactic Information for Automatic Error Analysis of Statistical Machine Translation Output
- [popovic-2011-human-automatic-error-classification-machine](https://md.mova.elamur.ai/free/en/docs/papers/popovic-2011-human-automatic-error-classification-machine/) — From Human to Automatic Error Classification for Machine Translation Output
- [popovic-2015-chrf-character-n-gram-f](https://md.mova.elamur.ai/free/en/docs/papers/popovic-2015-chrf-character-n-gram-f/) — chrF: character n-gram F-score for automatic MT evaluation
- [popovic-2016-chrf-deconstructed-beta-parameters-n](https://md.mova.elamur.ai/free/en/docs/papers/popovic-2016-chrf-deconstructed-beta-parameters-n/) — chrF deconstructed: beta parameters and n-gram weights
- [popovic-2017-chrf-words-helping-character-n](https://md.mova.elamur.ai/free/en/docs/papers/popovic-2017-chrf-words-helping-character-n/) — chrF++: words helping character n-grams
- [post-2018-call-clarity-reporting-bleu-scores](https://md.mova.elamur.ai/free/en/docs/papers/post-2018-call-clarity-reporting-bleu-scores/) — A Call for Clarity in Reporting BLEU Scores
- [postgate-1922-translation-translations-theory-practice](https://md.mova.elamur.ai/free/en/docs/papers/postgate-1922-translation-translations-theory-practice/) — Translation and Translations: Theory and Practice
- [pourdamghani-2014-aligning-english-strings-abstract-meaning](https://md.mova.elamur.ai/free/en/docs/papers/pourdamghani-2014-aligning-english-strings-abstract-meaning/) — Aligning English Strings with Abstract Meaning Representation Graphs
- [pourdamghani-2016-generating-english-abstract-meaning-representations](https://md.mova.elamur.ai/free/en/docs/papers/pourdamghani-2016-generating-english-abstract-meaning-representations/) — Generating English from Abstract Meaning Representations
- [puzikov-2018-binlin-simple-method-dependency-tree](https://md.mova.elamur.ai/free/en/docs/papers/puzikov-2018-binlin-simple-method-dependency-tree/) — BinLin: A Simple Method of Dependency Tree Linearization
- [quirk-2004-monolingual-machine-translation-paraphrase-generation](https://md.mova.elamur.ai/free/en/docs/papers/quirk-2004-monolingual-machine-translation-paraphrase-generation/) — Monolingual Machine Translation for Paraphrase Generation
- [quirk-2005-dependency-treelet-translation-syntactically-informed](https://md.mova.elamur.ai/free/en/docs/papers/quirk-2005-dependency-treelet-translation-syntactically-informed/) — Dependency Treelet Translation: Syntactically Informed Phrasal SMT
- [rajkumar-2011-linguistically-motivated-complementizer-choice-surface](https://md.mova.elamur.ai/free/en/docs/papers/rajkumar-2011-linguistically-motivated-complementizer-choice-surface/) — Linguistically Motivated Complementizer Choice in Surface Realization
- [ranta-2010-tools-multilingual-grammar-based-translation](https://md.mova.elamur.ai/free/en/docs/papers/ranta-2010-tools-multilingual-grammar-based-translation/) — Tools for Multilingual Grammar-Based Translation on the Web
- [ranta-2016-international-translation-grammatical-framework-gf](https://md.mova.elamur.ai/free/en/docs/papers/ranta-2016-international-translation-grammatical-framework-gf/) — International translation in the Grammatical Framework (GF)
- [ranta-2019-grammatical-framework-interlingual-grammar-formalism](https://md.mova.elamur.ai/free/en/docs/papers/ranta-2019-grammatical-framework-interlingual-grammar-formalism/) — Grammatical Framework: an Interlingual Grammar Formalism
- [ranta-2020-abstract-syntax-as-interlingua-scaling](https://md.mova.elamur.ai/free/en/docs/papers/ranta-2020-abstract-syntax-as-interlingua-scaling/) — Abstract Syntax as Interlingua: Scaling Up the Grammatical Framework from Controlled Languages to Robust Pipelines
- [rao-2018-dear-sir-or-madam-may](https://md.mova.elamur.ai/free/en/docs/papers/rao-2018-dear-sir-or-madam-may/) — Dear Sir or Madam, May I Introduce the GYAFC Dataset: Corpus, Benchmarks and Metrics for Formality Style Transfer
- [rei-2020-comet-neural-framework-mt-evaluation](https://md.mova.elamur.ai/free/en/docs/papers/rei-2020-comet-neural-framework-mt-evaluation/) — COMET: A Neural Framework for MT Evaluation
- [reiter-2018-structured-review-validity-bleu](https://md.mova.elamur.ai/free/en/docs/papers/reiter-2018-structured-review-validity-bleu/) — A Structured Review of the Validity of BLEU
- [richardson-2015-enhancing-function-word-translation-syntax](https://md.mova.elamur.ai/free/en/docs/papers/richardson-2015-enhancing-function-word-translation-syntax/) — Enhancing function word translation with syntax-based statistical post-editing
- [riding-2008-statistical-glossing-language-independent-analysis](https://md.mova.elamur.ai/free/en/docs/papers/riding-2008-statistical-glossing-language-independent-analysis/) — Statistical Glossing - Language Independent Analysis in Bible Translation
- [robertson-2018-evaluating-historical-text-normalization-systems](https://md.mova.elamur.ai/free/en/docs/papers/robertson-2018-evaluating-historical-text-normalization-systems/) — Evaluating Historical Text Normalization Systems: How Well Do They Generalize?
- [rooy-2020-use-septuagint-afrikaans-bible-translations](https://md.mova.elamur.ai/free/en/docs/papers/rooy-2020-use-septuagint-afrikaans-bible-translations/) — The use of the Septuagint in Afrikaans Bible translations
- [ross-2000-bible-translation-mediator-hebrew-impact](https://md.mova.elamur.ai/free/en/docs/papers/ross-2000-bible-translation-mediator-hebrew-impact/) — Bible translation as mediator of Hebrew impact on target languages: the Estonian bible translation by Johannes Gutslaff
- [rubino-2024-normalizing-without-modernizing-keeping-historical](https://md.mova.elamur.ai/free/en/docs/papers/rubino-2024-normalizing-without-modernizing-keeping-historical/) — Normalizing without Modernizing: Keeping Historical Wordforms of Middle French while Reducing Spelling Variants
- [sadler-1991-structural-non-correspondence-translation](https://md.mova.elamur.ai/free/en/docs/papers/sadler-1991-structural-non-correspondence-translation/) — Structural Non-Correspondence in Translation
- [sanchez-2006-opentrad-apertium-open-source-machine](https://md.mova.elamur.ai/free/en/docs/papers/sanchez-2006-opentrad-apertium-open-source-machine/) — Opentrad Apertium Open-Source Machine Translation System: an Opportunity for Business and Research
- [sanchez-2014-martinez-inferring-shallow-transfer-machine-translation](https://md.mova.elamur.ai/free/en/docs/papers/sanchez-2014-martinez-inferring-shallow-transfer-machine-translation/) — Inferring Shallow-Transfer Machine Translation Rules from Small Parallel Corpora
- [sanchez-2020-martinez-learning-synchronous-context-free-grammars](https://md.mova.elamur.ai/free/en/docs/papers/sanchez-2020-martinez-learning-synchronous-context-free-grammars/) — Learning synchronous context-free grammars with multiple specialised non-terminals for hierarchical phrase-based translation
- [schenk-1986-idioms-rosetta-machine-translation-system](https://md.mova.elamur.ai/free/en/docs/papers/schenk-1986-idioms-rosetta-machine-translation-system/) — Idioms in the Rosetta Machine Translation System
- [schleiermacher-1813-ueber-die-verschiedenen-methoden](https://md.mova.elamur.ai/free/en/docs/papers/schleiermacher-1813-ueber-die-verschiedenen-methoden/) — Ueber die verschiedenen Methoden des Uebersezens (On the Different Methods of Translating)
- [serasset-1999-unl-french-deconversion-as-transfer](https://md.mova.elamur.ai/free/en/docs/papers/serasset-1999-unl-french-deconversion-as-transfer/) — UNL-French deconversion as transfer & generation from an interlingua with possible quality enhancement through offline human interaction
- [setiawan-2009-topological-ordering-function-words-hierarchical](https://md.mova.elamur.ai/free/en/docs/papers/setiawan-2009-topological-ordering-function-words-hierarchical/) — Topological Ordering of Function Words in Hierarchical Phrase-based Translation
- [sgall-1987-machine-translation-linguistics-interlingua](https://md.mova.elamur.ai/free/en/docs/papers/sgall-1987-machine-translation-linguistics-interlingua/) — Machine Translation, Linguistics, and Interlingua
- [shen-2008-new-string-dependency-machine-translation](https://md.mova.elamur.ai/free/en/docs/papers/shen-2008-new-string-dependency-machine-translation/) — A New String-to-Dependency Machine Translation Algorithm with a Target Dependency Language Model
- [shen-2017-style-transfer-non-parallel-text](https://md.mova.elamur.ai/free/en/docs/papers/shen-2017-style-transfer-non-parallel-text/) — Style Transfer from Non-Parallel Text by Cross-Alignment
- [shi-2023-amr-tst-abstract-meaning-representation](https://md.mova.elamur.ai/free/en/docs/papers/shi-2023-amr-tst-abstract-meaning-representation/) — AMR-TST: Abstract Meaning Representation-based Text Style Transfer
- [shieber-2004-synchronous-grammars-as-tree-transducers](https://md.mova.elamur.ai/free/en/docs/papers/shieber-2004-synchronous-grammars-as-tree-transducers/) — Synchronous Grammars as Tree Transducers
- [shieber-2007-synchronous-grammars-transducers-good-news](https://md.mova.elamur.ai/free/en/docs/papers/shieber-2007-synchronous-grammars-transducers-good-news/) — Synchronous Grammars and Transducers: Good News and Bad News
- [shieber-2014-bimorphisms-synchronous-grammars](https://md.mova.elamur.ai/free/en/docs/papers/shieber-2014-bimorphisms-synchronous-grammars/) — Bimorphisms and synchronous grammars
- [shimorina-2021-error-analysis-framework-shallow-surface](https://md.mova.elamur.ai/free/en/docs/papers/shimorina-2021-error-analysis-framework-shallow-surface/) — An Error Analysis Framework for Shallow Surface Realization
- [siddharthan-2011-text-simplification-typed-dependencies-comparision](https://md.mova.elamur.ai/free/en/docs/papers/siddharthan-2011-text-simplification-typed-dependencies-comparision/) — Text Simplification using Typed Dependencies: A Comparision of the Robustness of Different Generation Strategies
- [siddharthan-2014-hybrid-text-simplification-synchronous-dependency](https://md.mova.elamur.ai/free/en/docs/papers/siddharthan-2014-hybrid-text-simplification-synchronous-dependency/) — Hybrid text simplification using synchronous dependency grammars with hand-written and automatically harvested rules
- [slocum-1985-survey-machine-translation-its-history](https://md.mova.elamur.ai/free/en/docs/papers/slocum-1985-survey-machine-translation-its-history/) — A Survey of Machine Translation: Its History, Current Status and Future Prospects
- [smets-2003-high-quality-machine-translation-machine](https://md.mova.elamur.ai/free/en/docs/papers/smets-2003-high-quality-machine-translation-machine/) — High quality machine translation using a machine-learned sentence realization component
- [smith-2006-quasi-synchronous-grammars-alignment-soft](https://md.mova.elamur.ai/free/en/docs/papers/smith-2006-quasi-synchronous-grammars-alignment-soft/) — Quasi-Synchronous Grammars: Alignment by Soft Projection of Syntactic Dependencies
- [snover-2006-study-translation-edit-rate-targeted](https://md.mova.elamur.ai/free/en/docs/papers/snover-2006-study-translation-edit-rate-targeted/) — A Study of Translation Edit Rate with Targeted Human Annotation
- [somers-1990-machine-translation-without-source-text](https://md.mova.elamur.ai/free/en/docs/papers/somers-1990-machine-translation-without-source-text/) — Machine Translation without a source text
- [somers-1995-problems-second-generation-architecture-new](https://md.mova.elamur.ai/free/en/docs/papers/somers-1995-problems-second-generation-architecture-new/) — Problems with the second generation architecture and new trends in MT
- [song-2017-amr-text-generation-synchronous-node](https://md.mova.elamur.ai/free/en/docs/papers/song-2017-amr-text-generation-synchronous-node/) — AMR-to-text Generation with Synchronous Node Replacement Grammar
- [song-2019-semantic-neural-machine-translation-amr](https://md.mova.elamur.ai/free/en/docs/papers/song-2019-semantic-neural-machine-translation-amr/) — Semantic Neural Machine Translation Using AMR
- [stymne-2011-blast-tool-error-analysis-machine](https://md.mova.elamur.ai/free/en/docs/papers/stymne-2011-blast-tool-error-analysis-machine/) — Blast: A Tool for Error Analysis of Machine Translation Output
- [sulem-2018-semantic-structural-evaluation-text-simplification](https://md.mova.elamur.ai/free/en/docs/papers/sulem-2018-semantic-structural-evaluation-text-simplification/) — Semantic Structural Evaluation for Text Simplification
- [sulem-2018-simple-effective-text-simplification-semantic](https://md.mova.elamur.ai/free/en/docs/papers/sulem-2018-simple-effective-text-simplification-semantic/) — Simple and Effective Text Simplification Using Semantic and Neural Methods
- [szubert-2018-structured-syntax-semantics-interface-english](https://md.mova.elamur.ai/free/en/docs/papers/szubert-2018-structured-syntax-semantics-interface-english/) — A Structured Syntax-Semantics Interface for English-AMR Alignment
- [tepanek-2026-first-shared-task-umr-parsing](https://md.mova.elamur.ai/free/en/docs/papers/tepanek-2026-first-shared-task-umr-parsing/) — First Shared Task on UMR Parsing
- [thillainathan-2026-authormix-modular-authorship-style-transfer](https://md.mova.elamur.ai/free/en/docs/papers/thillainathan-2026-authormix-modular-authorship-style-transfer/) — AuthorMix: Modular Authorship Style Transfer via Layer-wise Adapter Mixing
- [thouin-1981-meteo-system](https://md.mova.elamur.ai/free/en/docs/papers/thouin-1981-meteo-system/) — The Meteo system
- [thunes-1994-machine-translation-strategies-comparison-f](https://md.mova.elamur.ai/free/en/docs/papers/thunes-1994-machine-translation-strategies-comparison-f/) — Machine Translation Strategies: A Comparison of F-Structure Transfer and Semantically Based Interlingua
- [toma-1976-systran](https://md.mova.elamur.ai/free/en/docs/papers/toma-1976-systran/) — SYSTRAN
- [torregrosa-2019-leveraging-rule-based-machine-translation](https://md.mova.elamur.ai/free/en/docs/papers/torregrosa-2019-leveraging-rule-based-machine-translation/) — Leveraging Rule-Based Machine Translation Knowledge for Under-Resourced Neural Machine Translation Models
- [traum-2000-generation-lexical-conceptual-structures](https://md.mova.elamur.ai/free/en/docs/papers/traum-2000-generation-lexical-conceptual-structures/) — Generation from Lexical Conceptual Structures
- [tyers-2012-flexible-finite-state-lexical-selection](https://md.mova.elamur.ai/free/en/docs/papers/tyers-2012-flexible-finite-state-lexical-selection/) — Flexible finite-state lexical selection for rule-based machine translation
- [tytler-1791-essay-principles-translation](https://md.mova.elamur.ai/free/en/docs/papers/tytler-1791-essay-principles-translation/) — Essay on the Principles of Translation
- [uchida-1993-interlingua-multilingual-machine-translation](https://md.mova.elamur.ai/free/en/docs/papers/uchida-1993-interlingua-multilingual-machine-translation/) — Interlingua for Multilingual Machine Translation
- [vandevoorde-2020-semantic-differences-translation-exploring](https://md.mova.elamur.ai/free/en/docs/papers/vandevoorde-2020-semantic-differences-translation-exploring/) — Semantic differences in translation: Exploring the field of inchoativity
- [vergari-2015-translation-techniques-interpretative-phenomena-greek](https://md.mova.elamur.ai/free/en/docs/papers/vergari-2015-translation-techniques-interpretative-phenomena-greek/) — Translation 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-translation](https://md.mova.elamur.ai/free/en/docs/papers/vilar-2006-error-analysis-statistical-machine-translation/) — Error Analysis of Statistical Machine Translation Output
- [virk-2014-developing-interlingual-translation-lexicon-wordnets](https://md.mova.elamur.ai/free/en/docs/papers/virk-2014-developing-interlingual-translation-lexicon-wordnets/) — Developing an interlingual translation lexicon using WordNets and Grammatical Framework
- [wahlster-1995-verbmobil-drt-based-translation-spontaneous](https://md.mova.elamur.ai/free/en/docs/papers/wahlster-1995-verbmobil-drt-based-translation-spontaneous/) — Verbmobil: Towards a DRT-based translation of spontaneous negotiation dialogues
- [wang-2016-character-translation-edit-rate-character](https://md.mova.elamur.ai/free/en/docs/papers/wang-2016-character-translation-edit-rate-character/) — CharacTer: Translation Edit Rate on Character Level
- [wang-2021-evaluating-text-generation-discourse-representation](https://md.mova.elamur.ai/free/en/docs/papers/wang-2021-evaluating-text-generation-discourse-representation/) — Evaluating Text Generation from Discourse Representation Structures
- [wein-2023-measuring-fine-grained-semantic-equivalence](https://md.mova.elamur.ai/free/en/docs/papers/wein-2023-measuring-fine-grained-semantic-equivalence/) — Measuring Fine-Grained Semantic Equivalence with Abstract Meaning Representation
- [wein-2024-assessing-cross-linguistic-utility-abstract](https://md.mova.elamur.ai/free/en/docs/papers/wein-2024-assessing-cross-linguistic-utility-abstract/) — Assessing the Cross-linguistic Utility of Abstract Meaning Representation
- [wein-2024-lost-translationese-reducing-translation-effect](https://md.mova.elamur.ai/free/en/docs/papers/wein-2024-lost-translationese-reducing-translation-effect/) — Lost in Translationese? Reducing Translation Effect Using Abstract Meaning Representation
- [white-2007-broad-coverage-surface-realization-ccg](https://md.mova.elamur.ai/free/en/docs/papers/white-2007-broad-coverage-surface-realization-ccg/) — Towards broad coverage surface realization with CCG
- [white-2008-more-precise-analysis-punctuation-broad](https://md.mova.elamur.ai/free/en/docs/papers/white-2008-more-precise-analysis-punctuation-broad/) — A More Precise Analysis of Punctuation for Broad-Coverage Surface Realization with CCG
- [whitelock-1992-shake-bake-translation](https://md.mova.elamur.ai/free/en/docs/papers/whitelock-1992-shake-bake-translation/) — Shake-and-Bake Translation
- [wilks-1976-semantics-world-knowledge-mt](https://md.mova.elamur.ai/free/en/docs/papers/wilks-1976-semantics-world-knowledge-mt/) — Semantics and world knowledge in MT
- [wong-2007-generation-inverting-semantic-parser-that](https://md.mova.elamur.ai/free/en/docs/papers/wong-2007-generation-inverting-semantic-parser-that/) — Generation by Inverting a Semantic Parser that Uses Statistical Machine Translation
- [woodsend-2011-learning-simplify-sentences-quasi-synchronous](https://md.mova.elamur.ai/free/en/docs/papers/woodsend-2011-learning-simplify-sentences-quasi-synchronous/) — Learning to Simplify Sentences with Quasi-Synchronous Grammar and Integer Programming
- [wu-1997-stochastic-inversion-transduction-grammars-bilingual](https://md.mova.elamur.ai/free/en/docs/papers/wu-1997-stochastic-inversion-transduction-grammars-bilingual/) — Stochastic Inversion Transduction Grammars and Bilingual Parsing of Parallel Corpora
- [wu-2010-treebank-chinese-bible-translations](https://md.mova.elamur.ai/free/en/docs/papers/wu-2010-treebank-chinese-bible-translations/) — Treebank of Chinese Bible Translations
- [wu-2011-effective-use-function-words-rule](https://md.mova.elamur.ai/free/en/docs/papers/wu-2011-effective-use-function-words-rule/) — Effective Use of Function Words for Rule Generalization in Forest-Based Translation
- [wu-2018-creating-translation-matrix-bible-s](https://md.mova.elamur.ai/free/en/docs/papers/wu-2018-creating-translation-matrix-bible-s/) — Creating a Translation Matrix of the Bible's Names Across 591 Languages
- [wubben-2012-sentence-simplification-monolingual-machine-translation](https://md.mova.elamur.ai/free/en/docs/papers/wubben-2012-sentence-simplification-monolingual-machine-translation/) — Sentence Simplification by Monolingual Machine Translation
- [xu-2012-paraphrasing-style](https://md.mova.elamur.ai/free/en/docs/papers/xu-2012-paraphrasing-style/) — Paraphrasing for Style
- [xu-2016-optimizing-statistical-machine-translation-text](https://md.mova.elamur.ai/free/en/docs/papers/xu-2016-optimizing-statistical-machine-translation-text/) — Optimizing Statistical Machine Translation for Text Simplification
- [xu-2017-shakespeare-twitter-what-are-language](https://md.mova.elamur.ai/free/en/docs/papers/xu-2017-shakespeare-twitter-what-are-language/) — From Shakespeare to Twitter: What are Language Styles all about?
- [xu-2020-incorporate-semantic-structures-into-machine](https://md.mova.elamur.ai/free/en/docs/papers/xu-2020-incorporate-semantic-structures-into-machine/) — Incorporate Semantic Structures into Machine Translation Evaluation via UCCA
- [xue-2014-not-interlingua-but-close-comparison](https://md.mova.elamur.ai/free/en/docs/papers/xue-2014-not-interlingua-but-close-comparison/) — Not an Interlingua, But Close: Comparison of English AMRs to Chinese and Czech

[1](https://md.mova.elamur.ai/free/en/docs/papers/mtrans/)[2](https://md.mova.elamur.ai/free/en/docs/papers/mtrans/page/2/)**3**[4](https://md.mova.elamur.ai/free/en/docs/papers/mtrans/page/4/)