{"about":{"non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","site":"https://codewithpapers.app","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page","syntology":{"site":"https://syntology.ai","developers":"https://syntology.ai/developers","mcp":{"server":"https://syntology.ai/mcp","transport":"streamable-http","server_card":"https://syntology.ai/.well-known/mcp/server-card.json","auth":{"type":"trial token, no account","trial_token":"https://syntology.ai/api/oauth/trial/token","method":"POST","docs":"https://syntology.ai/developers"}},"have":"https://syntology.ai/api/graph/have?x=<method, arXiv id or title> (free, answers coverage only)","paper_base":"https://syntology.ai/paper/","atlas_base":"https://app.syntology.ai/?focus="},"machine_readable":[{"url":"https://codewithpapers.app/llms.txt","what":"the machine catalog: every machine-readable file, counted"},{"url":"https://codewithpapers.app/index/manifest.json","what":"paper-to-code index by arXiv id, with Syntology's counts"},{"url":"https://codewithpapers.app/search/manifest.json","what":"site search index (titles, authors) and its files"},{"url":"https://codewithpapers.app/download","what":"bulk files: Syntology's layer, described there"},{"url":"https://codewithpapers.app/build_manifest.json","what":"the build record: inputs, counts, exclusions, probes"}]},"url":"/task/translation/papers/113","list_of":"/task/translation","task":"Translation","archive":{"snapshot":"2025-07-28"},"key_notes":{"n_ran_checked":"legacy name, kept unchanged so existing readers do not break: it counts the samples that ran with no instrument failure (honoured, violated, and ran with no contract checked); it does not mean a contract was checked, and the pages print it as 'K with no instrument failure', not 'K checked'","n_constructed":"a sub-count of the samples that ran, never subtracted from them and never a failure: an executed sample whose run returned an instance of its own class (fixture_out_type equals the entry name): the run built an object and did not compute a result (Syntology's RAN record, counts.constructed)"},"syntology_read_at":"2026-09-28T10:30:06+00:00","order":"archive","order_definition":"repositories listed in the archive (most first), then date (newest first), then slug","page":113,"pages_in_order":124,"rows_per_page":100,"rows":[11201,11300],"of":12395,"counts":{"archive_papers_tagged":12395,"with_a_code_link":3574,"where_syntology_ran_a_sample":682,"not_listed_spam_title":0,"listed":12395,"listed_where_code_ran":682,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":566,"every_run_a_failure_of_syntologys_instrument":116,"listed_with_a_run_with_no_instrument_failure":566,"listed_every_run_a_failure_of_syntologys_instrument":116,"filter":{"states":["a run with no instrument failure","any run, instrument failures included"],"default":"a run with no instrument failure","note":"on the 'only where code ran' pages the default hides, in the browser, the rows where every run was a failure of Syntology's instrument; the second state shows them again. Rows are hidden, never re-ordered; these twins list every row"}},"definition":"distinct papers the archive tags; 'where Syntology ran a sample' counts papers with at least one harvested sample that ran, which is not a correctness claim"},"first_page":"/task/translation","prev":"/task/translation/papers/112","next":"/task/translation/papers/114","papers":[{"url":null,"slug":"parfda-for-fast-deployment-of-accurate","title":"ParFDA for Fast Deployment of Accurate Statistical Machine Translation Systems, Benchmarks, and Statistics","date":"2015-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":"/paper/parsing-english-into-abstract-meaning","slug":"parsing-english-into-abstract-meaning","title":"Parsing English into Abstract Meaning Representation Using Syntax-Based Machine Translation","date":"2015-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"personalized-machine-translation-predicting","title":"Personalized Machine Translation: Predicting Translational Preferences","date":"2015-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"predicting-machine-translation-adequacy-with","title":"Predicting Machine Translation Adequacy with Document Embeddings","date":"2015-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"predicting-pronoun-translation-using","title":"Predicting Pronoun Translation Using Syntactic, Morphological and Contextual Features from Parallel Data","date":"2015-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"proceedings-of-the-second-workshop-on-13","title":"Proceedings of the Second Workshop on Discourse in Machine Translation","date":"2015-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"proceedings-of-the-tenth-workshop-on","title":"Proceedings of the Tenth Workshop on Statistical Machine Translation","date":"2015-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"proceedings-of-the-workshop-natural-language","title":"Proceedings of the Workshop Natural Language Processing for Translation Memories","date":"2015-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"pronoun-translation-and-prediction-with-or","title":"Pronoun Translation and Prediction with or without Coreference Links","date":"2015-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"quality-estimation-from-scratch-quetch-deep","title":"QUality Estimation from ScraTCH (QUETCH): Deep Learning for Word-level Translation Quality Estimation","date":"2015-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"referential-translation-machines-for","title":"Referential Translation Machines for Predicting Translation Quality and Related Statistics","date":"2015-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"rule-based-pronominal-anaphora-treatment-for","title":"Rule-Based Pronominal Anaphora Treatment for Machine Translation","date":"2015-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"rule-selection-with-soft-syntactic-features","title":"Rule Selection with Soft Syntactic Features for String-to-Tree Statistical Machine Translation","date":"2015-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"shef-nn-translation-quality-estimation-with","title":"SHEF-NN: Translation Quality Estimation with Neural Networks","date":"2015-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"sheffield-systems-for-the-finnish-english-wmt","title":"Sheffield Systems for the Finnish-English WMT Translation Task","date":"2015-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"spelling-correction-of-user-search-queries","title":"Spelling Correction of User Search Queries through Statistical Machine Translation","date":"2015-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"spotting-false-translation-segments-in","title":"Spotting false translation segments in translation memories","date":"2015-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"statistical-machine-translation-improvement","title":"Statistical Machine Translation Improvement based on Phrase Selection","date":"2015-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"statistical-machine-translation-with-1","title":"Statistical Machine Translation with Automatic Identification of Translationese","date":"2015-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"syntax-based-rewriting-for-simultaneous","title":"Syntax-based Rewriting for Simultaneous Machine Translation","date":"2015-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"system-combination-for-machine-translation","title":"System Combination for Machine Translation through Paraphrasing","date":"2015-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"the-edinburghjhu-phrase-based-machine","title":"The Edinburgh/JHU Phrase-based Machine Translation Systems for WMT 2015","date":"2015-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"the-karlsruhe-institute-of-technology","title":"The Karlsruhe Institute of Technology Translation Systems for the WMT 2015","date":"2015-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"the-kit-limsi-translation-system-for-wmt-2015","title":"The KIT-LIMSI Translation System for WMT 2015","date":"2015-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"the-rwth-aachen-german-english-machine","title":"The RWTH Aachen German-English Machine Translation System for WMT 2015","date":"2015-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"the-university-of-illinois-submission-to-the","title":"The University of Illinois submission to the WMT 2015 Shared Translation Task","date":"2015-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"touch-based-pre-post-editing-of-machine","title":"Touch-Based Pre-Post-Editing of Machine Translation Output","date":"2015-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"translation-invariant-word-embeddings","title":"Translation Invariant Word Embeddings","date":"2015-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"translation-model-adaptation-using-genre","title":"Translation Model Adaptation Using Genre-Revealing Text Features","date":"2015-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"tuning-phrase-based-segmented-translation-for","title":"Tuning Phrase-Based Segmented Translation for a Morphologically Complex Target Language","date":"2015-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"ualacant-word-level-machine-translation","title":"UAlacant word-level machine translation quality estimation system at WMT 2015","date":"2015-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"uds-sant-englishgerman-hybrid-machine","title":"UdS-Sant: English--German Hybrid Machine Translation System","date":"2015-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"ugent-lt3-scate-system-for-machine","title":"UGENT-LT3 SCATE System for Machine Translation Quality Estimation","date":"2015-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"variable-length-word-encodings-for-neural","title":"Variable-Length Word Encodings for Neural Translation Models","date":"2015-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"wikitrans-swedish-danish-machine-translation","title":"WikiTrans: Swedish-Danish Machine Translation in a Constraint Grammar Framework","date":"2015-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"auto-sizing-neural-networks-with-applications","title":"Auto-Sizing Neural Networks: With Applications to n-gram Language Models","date":"2015-08-20","arxiv_id":"1508.05051","repositories_listed":0,"syntology":null},{"url":null,"slug":"probabilistic-modelling-of-morphologically","title":"Probabilistic Modelling of Morphologically Rich Languages","date":"2015-08-18","arxiv_id":"1508.04271","repositories_listed":0,"syntology":null},{"url":null,"slug":"depth-gated-lstm","title":"Depth-Gated LSTM","date":"2015-08-16","arxiv_id":"1508.03790","repositories_listed":0,"syntology":null},{"url":null,"slug":"ribosome-flow-model-on-a-ring","title":"Ribosome Flow Model on a Ring","date":"2015-08-16","arxiv_id":"1508.03796","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-model-for-competition-for-ribosomes-in-the","title":"A Model for Competition for Ribosomes in the Cell","date":"2015-08-10","arxiv_id":"1508.02408","repositories_listed":0,"syntology":null},{"url":null,"slug":"adapting-phrase-based-machine-translation-to","title":"Adapting Phrase-based Machine Translation to Normalise Medical Terms in Social Media Messages","date":"2015-08-10","arxiv_id":"1508.02285","repositories_listed":0,"syntology":null},{"url":null,"slug":"feature-based-decipherment-for-large","title":"Feature-based Decipherment for Large Vocabulary Machine Translation","date":"2015-08-10","arxiv_id":"1508.02142","repositories_listed":0,"syntology":null},{"url":null,"slug":"improve-the-evaluation-of-fluency-using","title":"Improve the Evaluation of Fluency Using Entropy for Machine Translation Evaluation Metrics","date":"2015-08-10","arxiv_id":"1508.02225","repositories_listed":0,"syntology":null},{"url":null,"slug":"removing-biases-from-trainable-mt-metrics-by","title":"Removing Biases from Trainable MT Metrics by Using Self-Training","date":"2015-08-10","arxiv_id":"1508.02445","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-automatic-machine-translation-evaluation","title":"An Automatic Machine Translation Evaluation Metric Based on Dependency Parsing Model","date":"2015-08-09","arxiv_id":"1508.01996","repositories_listed":0,"syntology":null},{"url":null,"slug":"class-vectors-embedding-representation-of","title":"Class Vectors: Embedding representation of Document Classes","date":"2015-08-02","arxiv_id":"1508.00189","repositories_listed":0,"syntology":null},{"url":null,"slug":"classifying-informative-and-imaginative-prose","title":"Classifying informative and imaginative prose using complex networks","date":"2015-07-28","arxiv_id":"1507.07826","repositories_listed":0,"syntology":null},{"url":null,"slug":"neural-mechanism-to-simulate-a-scale","title":"Neural mechanism to simulate a scale-invariant future timeline","date":"2015-07-24","arxiv_id":"1503.03322","repositories_listed":0,"syntology":null},{"url":null,"slug":"fourier-descriptors-based-on-the-structure-of","title":"Fourier descriptors based on the structure of the human primary visual cortex with applications to object recognition","date":"2015-07-23","arxiv_id":"1507.06617","repositories_listed":0,"syntology":null},{"url":null,"slug":"protein-synthesis-driven-by-dynamical","title":"Protein synthesis driven by dynamical stochastic transcription","date":"2015-07-23","arxiv_id":"1406.3089","repositories_listed":0,"syntology":null},{"url":null,"slug":"dual-normal-logic-programs-the-forgotten","title":"Dual-normal Logic Programs - the Forgotten Class","date":"2015-07-20","arxiv_id":"1507.05388","repositories_listed":0,"syntology":null},{"url":null,"slug":"rewriting-recursive-aggregates-in-answer-set","title":"Rewriting recursive aggregates in answer set programming: back to monotonicity","date":"2015-07-14","arxiv_id":"1507.03923","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-probabilistic-approach-to-knowledge","title":"A Probabilistic Approach to Knowledge Translation","date":"2015-07-12","arxiv_id":"1507.03181","repositories_listed":0,"syntology":null},{"url":null,"slug":"classifier-based-text-simplification-for","title":"Classifier-Based Text Simplification for Improved Machine Translation","date":"2015-07-12","arxiv_id":"1507.03223","repositories_listed":0,"syntology":null},{"url":null,"slug":"hindi-to-english-transfer-based-machine","title":"Hindi to English Transfer Based Machine Translation System","date":"2015-07-08","arxiv_id":"1507.02012","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-survey-and-classification-of-controlled","title":"A Survey and Classification of Controlled Natural Languages","date":"2015-07-07","arxiv_id":"1507.01701","repositories_listed":0,"syntology":null},{"url":null,"slug":"describing-multimedia-content-using-attention","title":"Describing Multimedia Content using Attention-based Encoder--Decoder Networks","date":"2015-07-04","arxiv_id":"1507.01053","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-coactive-learning-view-of-online-structured","title":"A Coactive Learning View of Online Structured Prediction in Statistical Machine Translation","date":"2015-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"a-context-aware-topic-model-for-statistical","title":"A Context-Aware Topic Model for Statistical Machine Translation","date":"2015-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"a-discriminative-model-for-semantics-to","title":"A Discriminative Model for Semantics-to-String Translation","date":"2015-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"analyzing-optimization-for-statistical","title":"Analyzing Optimization for Statistical Machine Translation: MERT Learns Verbosity, PRO Learns Length","date":"2015-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"automated-simultaneous-interpretation-hints","title":"Automated Simultaneous Interpretation: Hints of a Cognitive Framework for Machine Translation","date":"2015-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"chinese-in-the-grammatical-framework-grammar","title":"Chinese in the Grammatical Framework: Grammar, Translation, and Other Applications Anonymous","date":"2015-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-neural-language-models-for-machine","title":"Deep Neural Language Models for Machine Translation","date":"2015-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"efficient-top-down-btg-parsing-for-machine","title":"Efficient Top-Down BTG Parsing for Machine Translation Preordering","date":"2015-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"evaluating-machine-translation-systems-with","title":"Evaluating Machine Translation Systems with Second Language Proficiency Tests","date":"2015-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"exploring-the-effect-of-semantic-similarity","title":"Exploring the effect of semantic similarity for Phrase-based Machine Translation","date":"2015-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"five-shades-of-noise-analyzing-machine","title":"Five Shades of Noise: Analyzing Machine Translation Errors in User-Generated Text","date":"2015-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-chinese-grammatical-error","title":"Improving Chinese Grammatical Error Correction with Corpus Augmentation and Hierarchical Phrase-based Statistical Machine Translation","date":"2015-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-evaluation-of-machine-translation","title":"Improving Evaluation of Machine Translation Quality Estimation","date":"2015-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-pivot-translation-by-remembering","title":"Improving Pivot Translation by Remembering the Pivot","date":"2015-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"integrating-case-frame-into-japanese-to","title":"Integrating Case Frame into Japanese to Chinese Hierarchical Phrase-based Translation Model","date":"2015-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-word-reorderings-for-hierarchical","title":"Learning Word Reorderings for Hierarchical Phrase-based Statistical Machine Translation","date":"2015-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"leveraging-compounds-to-improve-noun-phrase","title":"Leveraging Compounds to Improve Noun Phrase Translation from Chinese and German","date":"2015-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"mt-quality-estimation-for-computer-assisted","title":"MT Quality Estimation for Computer-assisted Translation: Does it Really Help?","date":"2015-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-level-translation-quality-prediction","title":"Multi-level Translation Quality Prediction with QuEst++","date":"2015-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-pass-decoding-with-complex-feature","title":"Multi-Pass Decoding With Complex Feature Guidance for Statistical Machine Translation","date":"2015-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-task-learning-for-multiple-language","title":"Multi-Task Learning for Multiple Language Translation","date":"2015-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"on-improving-the-human-translation-process-by","title":"On Improving the Human Translation Process by Using MT Technologies under a Cognitive Framework","date":"2015-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"ongoing-study-for-enhancing-chinese-spanish","title":"Ongoing Study for Enhancing Chinese-Spanish Translation with Morphology Strategies","date":"2015-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"passive-and-pervasive-use-of-bilingual","title":"Passive and Pervasive Use of Bilingual Dictionary in Statistical Machine Translation","date":"2015-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"proceedings-of-the-1st-workshop-on-semantics","title":"Proceedings of the 1st Workshop on Semantics-Driven Statistical Machine Translation (S2MT 2015)","date":"2015-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"proceedings-of-the-fourth-workshop-on-hybrid","title":"Proceedings of the Fourth Workshop on Hybrid Approaches to Translation (HyTra)","date":"2015-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"recurrent-neural-network-based-rule-sequence","title":"Recurrent Neural Network based Rule Sequence Model for Statistical Machine Translation","date":"2015-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"representation-based-translation-evaluation","title":"Representation Based Translation Evaluation Metrics","date":"2015-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"syntax-based-simultaneous-translation-through","title":"Syntax-based Simultaneous Translation through Prediction of Unseen Syntactic Constituents","date":"2015-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"the-nl2kr-platform-for-building-natural","title":"The NL2KR Platform for building Natural Language Translation Systems","date":"2015-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-a-shared-task-for-shallow-semantics","title":"Towards a shared task for shallow semantics-based translation (in an industrial setting)","date":"2015-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"whats-in-a-domain-analyzing-genre-and-topic","title":"What's in a Domain? Analyzing Genre and Topic Differences in Statistical Machine Translation","date":"2015-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"when-translation-requires-interpretation","title":"When Translation Requires Interpretation: Collaborative Computer--Assisted Translation of Ancient Texts","date":"2015-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"spectral-motion-synchronization-in-se3","title":"Spectral Motion Synchronization in SE(3)","date":"2015-06-29","arxiv_id":"1506.08765","repositories_listed":0,"syntology":null},{"url":null,"slug":"new-approach-to-translation-of-isolated-units","title":"New Approach to translation of Isolated Units in English-Korean Machine Translation","date":"2015-06-23","arxiv_id":"1506.06904","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-deep-memory-based-architecture-for-sequence","title":"A Deep Memory-based Architecture for Sequence-to-Sequence Learning","date":"2015-06-22","arxiv_id":"1506.06442","repositories_listed":0,"syntology":null},{"url":"/paper/a-neural-network-approach-to-context-1","slug":"a-neural-network-approach-to-context-1","title":"A Neural Network Approach to Context-Sensitive Generation of Conversational Responses","date":"2015-06-22","arxiv_id":"1506.06714","repositories_listed":0,"syntology":null},{"url":null,"slug":"robust-subgraph-generation-improves-abstract","title":"Robust Subgraph Generation Improves Abstract Meaning Representation Parsing","date":"2015-06-10","arxiv_id":"1506.03139","repositories_listed":0,"syntology":null},{"url":null,"slug":"content-translation-computer-assisted-1","title":"Content Translation: Computer-assisted translation tool for Wikipedia articles","date":"2015-06-05","arxiv_id":"1506.01914","repositories_listed":0,"syntology":null},{"url":null,"slug":"shapefit-exact-location-recovery-from","title":"ShapeFit: Exact location recovery from corrupted pairwise directions","date":"2015-06-04","arxiv_id":"1506.01437","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-hybrid-model-for-enhancing-lexical","title":"A Hybrid Model for Enhancing Lexical Statistical Machine Translation (SMT)","date":"2015-06-03","arxiv_id":"1506.01171","repositories_listed":0,"syntology":null},{"url":null,"slug":"analyzing-english-spanish-named-entity","title":"Analyzing English-Spanish Named-Entity enhanced Machine Translation","date":"2015-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"automated-translation-of-a-literary-work-a","title":"Automated Translation of a Literary Work: A Pilot Study","date":"2015-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null}],"record_sha256":"efb9ae3ae764d309fe0ab2437a8f060326612c61eb574f3508fac12f19464759","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}