{"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/52","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":52,"pages_in_order":124,"rows_per_page":100,"rows":[5101,5200],"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/51","next":"/task/translation/papers/53","papers":[{"url":null,"slug":"persign-personalized-bangladeshi-sign-letters","title":"PerSign: Personalized Bangladeshi Sign Letters Synthesis","date":"2022-09-29","arxiv_id":"2209.14591","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-automatic-evaluation-of-the-wmt22-general","title":"An Automatic Evaluation of the WMT22 General Machine Translation Task","date":"2022-09-28","arxiv_id":"2209.14172","repositories_listed":0,"syntology":null},{"url":null,"slug":"cyclegan-network-for-sheet-metal-welding","title":"Cyclegan Network for Sheet Metal Welding Drawing Translation","date":"2022-09-28","arxiv_id":"2209.14106","repositories_listed":0,"syntology":null},{"url":null,"slug":"effective-general-domain-data-inclusion-for","title":"Effective General-Domain Data Inclusion for the Machine Translation Task by Vanilla Transformers","date":"2022-09-28","arxiv_id":"2209.14073","repositories_listed":0,"syntology":null},{"url":null,"slug":"from-zero-to-production-baltic-ukrainian","title":"From Zero to Production: Baltic-Ukrainian Machine Translation Systems to Aid Refugees","date":"2022-09-28","arxiv_id":"2209.14142","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-multilingual-transitivity-and","title":"Revamping Multilingual Agreement Bidirectionally via Switched Back-translation for Multilingual Neural Machine Translation","date":"2022-09-28","arxiv_id":"2209.13940","repositories_listed":0,"syntology":null},{"url":"/paper/translation-scale-and-rotation-cross-modal","slug":"translation-scale-and-rotation-cross-modal","title":"Translation, Scale and Rotation: Cross-Modal Alignment Meets RGB-Infrared Vehicle Detection","date":"2022-09-28","arxiv_id":"2209.13801","repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-multilingual-neural-machine-3","title":"Improving Multilingual Neural Machine Translation System for Indic Languages","date":"2022-09-27","arxiv_id":"2209.13279","repositories_listed":0,"syntology":null},{"url":null,"slug":"unsupervised-domain-adaptation-with-histogram","title":"Unsupervised Domain Adaptation with Histogram-gated Image Translation for Delayered IC Image Analysis","date":"2022-09-27","arxiv_id":"2209.13479","repositories_listed":0,"syntology":null},{"url":null,"slug":"enhancing-data-diversity-for-self-training","title":"Enhancing Data Diversity for Self-training Based Unsupervised Cross-modality Vestibular Schwannoma and Cochlea Segmentation","date":"2022-09-23","arxiv_id":"2209.11879","repositories_listed":0,"syntology":null},{"url":null,"slug":"image-to-image-translation-for-autonomous","title":"Image-to-Image Translation for Autonomous Driving from Coarsely-Aligned Image Pairs","date":"2022-09-23","arxiv_id":"2209.11673","repositories_listed":0,"syntology":null},{"url":null,"slug":"zero-shot-domain-adaptation-for-neural","title":"Zero-shot Domain Adaptation for Neural Machine Translation with Retrieved Phrase-level Prompts","date":"2022-09-23","arxiv_id":"2209.11409","repositories_listed":0,"syntology":null},{"url":null,"slug":"approaching-english-polish-machine","title":"Approaching English-Polish Machine Translation Quality Assessment with Neural-based Methods","date":"2022-09-22","arxiv_id":"2209.11016","repositories_listed":0,"syntology":null},{"url":null,"slug":"pepe-personalized-post-editing-model","title":"PePe: Personalized Post-editing Model utilizing User-generated Post-edits","date":"2022-09-21","arxiv_id":"2209.10139","repositories_listed":0,"syntology":null},{"url":null,"slug":"linguist-language-model-instruction-tuning-to","title":"LINGUIST: Language Model Instruction Tuning to Generate Annotated Utterances for Intent Classification and Slot Tagging","date":"2022-09-20","arxiv_id":"2209.09900","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-snapshot-into-the-possibility-of-video-game-1","title":"A Snapshot into the Possibility of Video Game Machine Translation","date":"2022-09-19","arxiv_id":"2209.08827","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-decoupled-retrieval-representation","title":"Learning Decoupled Retrieval Representation for Nearest Neighbour Neural Machine Translation","date":"2022-09-19","arxiv_id":"2209.08738","repositories_listed":0,"syntology":null},{"url":null,"slug":"triplere-knowledge-graph-embeddings-via","title":"TripleRE: Knowledge Graph Embeddings via Tripled Relation Vectors","date":"2022-09-17","arxiv_id":"2209.08271","repositories_listed":0,"syntology":null},{"url":null,"slug":"changing-the-representation-examining-1","title":"Changing the Representation: Examining Language Representation for Neural Sign Language Production","date":"2022-09-16","arxiv_id":"2210.06312","repositories_listed":0,"syntology":null},{"url":null,"slug":"transformer-based-detection-of-multiword","title":"Transformer-based Detection of Multiword Expressions in Flower and Plant Names","date":"2022-09-16","arxiv_id":"2209.08016","repositories_listed":0,"syntology":null},{"url":null,"slug":"cat-controllable-attribute-translation-for","title":"CAT: Controllable Attribute Translation for Fair Facial Attribute Classification","date":"2022-09-14","arxiv_id":"2209.06850","repositories_listed":0,"syntology":null},{"url":null,"slug":"data-adaptive-transfer-learning-for","title":"Data-adaptive Transfer Learning for Translation: A Case Study in Haitian and Jamaican","date":"2022-09-13","arxiv_id":"2209.06295","repositories_listed":0,"syntology":null},{"url":null,"slug":"high-resolution-semantically-consistent-image","title":"High-resolution semantically-consistent image-to-image translation","date":"2022-09-13","arxiv_id":"2209.06264","repositories_listed":0,"syntology":null},{"url":null,"slug":"bridging-between-legalruleml-and-tptp-for","title":"Bridging between LegalRuleML and TPTP for Automated Normative Reasoning (extended version)","date":"2022-09-12","arxiv_id":"2209.05090","repositories_listed":0,"syntology":null},{"url":null,"slug":"simple-and-effective-gradient-based-tuning-of","title":"Simple and Effective Gradient-Based Tuning of Sequence-to-Sequence Models","date":"2022-09-10","arxiv_id":"2209.04683","repositories_listed":0,"syntology":null},{"url":null,"slug":"application-of-image-to-image-translation-in","title":"Application of image-to-image translation in improving pedestrian detection","date":"2022-09-08","arxiv_id":"2209.03625","repositories_listed":0,"syntology":null},{"url":null,"slug":"knowledge-based-template-machine-translation-1","title":"Knowledge Based Template Machine Translation In Low-Resource Setting","date":"2022-09-08","arxiv_id":"2209.03554","repositories_listed":0,"syntology":null},{"url":null,"slug":"lost-in-translation-reimagining-the-machine","title":"Lost in Translation: Reimagining the Machine Learning Life Cycle in Education","date":"2022-09-08","arxiv_id":"2209.03929","repositories_listed":0,"syntology":null},{"url":null,"slug":"adam-mickiewicz-university-at-wmt-2022-ner","title":"Adam Mickiewicz University at WMT 2022: NER-Assisted and Quality-Aware Neural Machine Translation","date":"2022-09-07","arxiv_id":"2209.02962","repositories_listed":0,"syntology":null},{"url":null,"slug":"predicting-the-clinical-citation-count-of","title":"Predicting the clinical citation count of biomedical papers using multilayer perceptron neural network","date":"2022-09-07","arxiv_id":"2210.06346","repositories_listed":0,"syntology":null},{"url":null,"slug":"that-slepen-al-the-nyght-with-open-ye-cross-2","title":"That Slepen Al the Nyght with Open Ye! Cross-era Sequence Segmentation with Switch-memory","date":"2022-09-07","arxiv_id":"2209.02967","repositories_listed":0,"syntology":null},{"url":null,"slug":"es-geht-um-respekt-nicht-um-technologie","title":"\"Es geht um Respekt, nicht um Technologie\": Erkenntnisse aus einem Interessensgruppen-übergreifenden Workshop zu genderfairer Sprache und Sprachtechnologie","date":"2022-09-06","arxiv_id":"2209.02793","repositories_listed":0,"syntology":null},{"url":null,"slug":"monolingual-alignment-of-word-senses-and","title":"Monolingual alignment of word senses and definitions in lexicographical resources","date":"2022-09-06","arxiv_id":"2209.02465","repositories_listed":0,"syntology":null},{"url":null,"slug":"1st-place-solution-to-eccv-2022-challenge-on-1","title":"1st Place Solution to ECCV 2022 Challenge on Out of Vocabulary Scene Text Understanding: End-to-End Recognition of Out of Vocabulary Words","date":"2022-09-01","arxiv_id":"2209.00224","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-comparison-of-data-filtering-methods-for","title":"A Comparison of Data Filtering Methods for Neural Machine Translation","date":"2022-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"a-multimodal-simultaneous-interpretation","title":"A Multimodal Simultaneous Interpretation Prototype: Who Said What","date":"2022-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"a-neural-machine-translation-approach-to","title":"A Neural Machine Translation Approach to Translate Text to Pictographs in a Medical Speech Translation System - The BabelDr Use Case","date":"2022-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"all-you-need-is-source-a-study-on-source","title":"All You Need is Source! A Study on Source-based Quality Estimation for Neural Machine Translation","date":"2022-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"analysis-of-indistinguishable-trajectories-of","title":"Analysis of Indistinguishable Trajectories of a Nonholonomic Vehicle Subject to Range Measurements","date":"2022-09-01","arxiv_id":"2209.00567","repositories_listed":0,"syntology":null},{"url":null,"slug":"building-machine-translation-system-for","title":"Building Machine Translation System for Software Product Descriptions Using Domain-specific Sub-corpora Extraction","date":"2022-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"current-shortcomings-of-machine-translation","title":"Current Shortcomings of Machine Translation in Spanish and Bulgarian Vis-à-vis English","date":"2022-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"deepcon-an-end-to-end-multilingual-toolkit","title":"DeepCon: An End-to-End Multilingual Toolkit for Automatic Minuting of Multi-Party Dialogues","date":"2022-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"differentiated-measurements-for-fatigue-and","title":"Differentiated measurements for fatigue and demotivation/amotivation in translation - lessons learnt from fatigue and motivation studies","date":"2022-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"embedding-enhanced-giza-improving-low-1","title":"Embedding-Enhanced GIZA++: Improving Low-Resource Word Alignment Using Embeddings","date":"2022-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"english-russian-data-augmentation-for-neural","title":"English-Russian Data Augmentation for Neural Machine Translation","date":"2022-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"entropy-as-a-measurement-of-cognitive-load-in","title":"Entropy as a measurement of cognitive load in translation","date":"2022-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"evaluating-machine-translation-in-cross","title":"Evaluating Machine Translation in Cross-lingual E-Commerce Search","date":"2022-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"few-shot-regularization-to-tackle","title":"Few-Shot Regularization to Tackle Catastrophic Forgetting in Multilingual Machine Translation","date":"2022-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"filtering-of-noisy-web-crawled-parallel","title":"Filtering of Noisy Web-Crawled Parallel Corpus: the Japanese-Bulgarian Language Pair","date":"2022-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"gender-bias-evaluation-in-luganda-english","title":"Gender bias Evaluation in Luganda-English Machine Translation","date":"2022-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"improve-mt-for-search-with-selected","title":"Improve MT for Search with Selected Translation Memory using Search Signals","date":"2022-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-translation-of-out-of-vocabulary","title":"Improving Translation of Out Of Vocabulary Words using Bilingual Lexicon Induction in Low-Resource Machine Translation","date":"2022-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"investigating-the-impact-of-different-pivot","title":"Investigating the Impact of Different Pivot Languages on Translation Quality","date":"2022-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"knowledge-distillation-for-sustainable-neural","title":"Knowledge Distillation for Sustainable Neural Machine Translation","date":"2022-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"language-rehabilitation-of-people-with-broca","title":"Language rehabilitation of people with BROCA aphasia using deep neural machine translation","date":"2022-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"language-tokens-simply-improving-zero-shot","title":"Language Tokens: Simply Improving Zero-Shot Multi-Aligned Translation in Encoder-Decoder Models","date":"2022-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"limitations-and-challenges-of-unsupervised","title":"Limitations and Challenges of Unsupervised Cross-lingual Pre-training","date":"2022-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"lingua-addressing-scenarios-for-live","title":"Lingua: Addressing Scenarios for Live Interpretation and Automatic Dubbing","date":"2022-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"measuring-the-effects-of-human-and-machine","title":"Measuring the Effects of Human and Machine Translation on Website Engagement","date":"2022-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-dimensional-consideration-of-cognitive","title":"Multi-dimensional Consideration of Cognitive Effort in Translation and Interpreting Process Studies","date":"2022-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"on-the-effectiveness-of-quasi-character-level-2","title":"On the Effectiveness of Quasi Character-Level Models for Machine Translation","date":"2022-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"practical-attacks-on-machine-translation","title":"Practical Attacks on Machine Translation using Paraphrase","date":"2022-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"predicting-the-number-of-errors-in-human","title":"Predicting the number of errors in human translation using source text and translator characteristics","date":"2022-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"prefix-embeddings-for-in-context-machine","title":"Prefix Embeddings for In-context Machine Translation","date":"2022-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"proficiency-and-external-aides-impact-of","title":"Proficiency and External Aides: Impact of Translation Brief and Search Conditions on Post-editing Quality","date":"2022-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"refining-an-almost-clean-translation-memory","title":"Refining an Almost Clean Translation Memory Helps Machine Translation","date":"2022-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"robust-translation-of-french-live-speech","title":"Robust Translation of French Live Speech Transcripts","date":"2022-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"sg-translate-together-uplifting-singapores","title":"SG Translate Together - Uplifting Singapore’s translation standards with the community through technology","date":"2022-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"sign-language-machine-translation-and-the","title":"Sign Language Machine Translation and the Sign Language Lexicon: A Linguistically Informed Approach","date":"2022-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"speech-to-text-and-evaluation-of-multiple","title":"Speech-to-Text and Evaluation of Multiple Machine Translation Systems","date":"2022-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"strategies-for-adapting-multilingual-pre","title":"Strategies for Adapting Multilingual Pre-training for Domain-Specific Machine Translation","date":"2022-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"syntactic-cross-and-reading-effort-in-english","title":"Syntactic Cross and Reading Effort in English to Japanese Translation","date":"2022-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"the-impact-of-translation-competence-on-error","title":"The impact of translation competence on error recognition of neural MT","date":"2022-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"adaptively-realistic-image-generation-from","title":"Adaptively-Realistic Image Generation from Stroke and Sketch with Diffusion Model","date":"2022-08-26","arxiv_id":"2208.12675","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-multi-modal-brain-tumor-segmentation","title":"Learning Multi-Modal Brain Tumor Segmentation from Privileged Semi-Paired MRI Images with Curriculum Disentanglement Learning","date":"2022-08-26","arxiv_id":"2208.12781","repositories_listed":0,"syntology":null},{"url":null,"slug":"nearest-neighbor-non-autoregressive-text","title":"Nearest Neighbor Non-autoregressive Text Generation","date":"2022-08-26","arxiv_id":"2208.12496","repositories_listed":0,"syntology":null},{"url":null,"slug":"neuromorphic-visual-scene-understanding-with","title":"Neuromorphic Visual Scene Understanding with Resonator Networks","date":"2022-08-26","arxiv_id":"2208.12880","repositories_listed":0,"syntology":null},{"url":null,"slug":"kencorpus-a-kenyan-language-corpus-of-swahili","title":"Kencorpus: A Kenyan Language Corpus of Swahili, Dholuo and Luhya for Natural Language Processing Tasks","date":"2022-08-25","arxiv_id":"2208.12081","repositories_listed":0,"syntology":null},{"url":null,"slug":"unsupervised-structure-consistent-image-to","title":"Unsupervised Structure-Consistent Image-to-Image Translation","date":"2022-08-24","arxiv_id":"2208.11546","repositories_listed":0,"syntology":null},{"url":null,"slug":"scale-invariant-process-regression","title":"Scale invariant process regression: Towards Bayesian ML with minimal assumptions","date":"2022-08-22","arxiv_id":"2208.10461","repositories_listed":0,"syntology":null},{"url":null,"slug":"discourse-cohesion-evaluation-for-document","title":"Discourse Cohesion Evaluation for Document-Level Neural Machine Translation","date":"2022-08-19","arxiv_id":"2208.09118","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-neural-network-approximation-of","title":"Deep Neural Network Approximation of Invariant Functions through Dynamical Systems","date":"2022-08-18","arxiv_id":"2208.08707","repositories_listed":0,"syntology":null},{"url":null,"slug":"pixel-wise-prediction-based-visual-odometry","title":"Pixel-Wise Prediction based Visual Odometry via Uncertainty Estimation","date":"2022-08-18","arxiv_id":"2208.08892","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-8-point-algorithm-as-an-inductive-bias","title":"The 8-Point Algorithm as an Inductive Bias for Relative Pose Prediction by ViTs","date":"2022-08-18","arxiv_id":"2208.08988","repositories_listed":0,"syntology":null},{"url":null,"slug":"bert-s-to-detect-multiword-expressions","title":"BERT(s) to Detect Multiword Expressions","date":"2022-08-16","arxiv_id":"2208.07832","repositories_listed":0,"syntology":null},{"url":null,"slug":"reproduction-and-replication-of-an","title":"Reproduction and Replication of an Adversarial Stylometry Experiment","date":"2022-08-15","arxiv_id":"2208.07395","repositories_listed":0,"syntology":null},{"url":null,"slug":"fast-vocabulary-projection-method-via","title":"Fast Vocabulary Projection Method via Clustering for Multilingual Machine Translation on GPU","date":"2022-08-14","arxiv_id":"2208.06874","repositories_listed":0,"syntology":null},{"url":null,"slug":"cyclegan-with-three-different-unpaired","title":"CycleGAN with three different unpaired datasets","date":"2022-08-12","arxiv_id":"2208.06526","repositories_listed":0,"syntology":null},{"url":null,"slug":"image-translation-based-nuclei-segmentation","title":"Image Translation Based Nuclei Segmentation for Immunohistochemistry Images","date":"2022-08-12","arxiv_id":"2208.06202","repositories_listed":0,"syntology":null},{"url":null,"slug":"language-independence-of-discocirc-s-text","title":"Language-independence of DisCoCirc's Text Circuits: English and Urdu","date":"2022-08-11","arxiv_id":"2208.10281","repositories_listed":0,"syntology":null},{"url":null,"slug":"language-tokens-a-frustratingly-simple","title":"Language Tokens: A Frustratingly Simple Approach Improves Zero-Shot Performance of Multilingual Translation","date":"2022-08-11","arxiv_id":"2208.05852","repositories_listed":0,"syntology":null},{"url":null,"slug":"structural-biases-for-improving-transformers-1","title":"Structural Biases for Improving Transformers on Translation into Morphologically Rich Languages","date":"2022-08-11","arxiv_id":"2208.06061","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-quantum-natural-language-processing-1","title":"A Quantum Natural Language Processing Approach to Pronoun Resolution","date":"2022-08-10","arxiv_id":"2208.05393","repositories_listed":0,"syntology":null},{"url":null,"slug":"how-effective-is-byte-pair-encoding-for-out","title":"How Effective is Byte Pair Encoding for Out-Of-Vocabulary Words in Neural Machine Translation?","date":"2022-08-10","arxiv_id":"2208.05225","repositories_listed":0,"syntology":null},{"url":null,"slug":"longitudinal-prediction-of-postnatal-brain","title":"Longitudinal Prediction of Postnatal Brain Magnetic Resonance Images via a Metamorphic Generative Adversarial Network","date":"2022-08-09","arxiv_id":"2208.04825","repositories_listed":0,"syntology":null},{"url":null,"slug":"sim2real-cardiac-mr-image-simulation-to-real","title":"sim2real: Cardiac MR Image Simulation-to-Real Translation via Unsupervised GANs","date":"2022-08-09","arxiv_id":"2208.04874","repositories_listed":0,"syntology":null},{"url":null,"slug":"automatically-constructing-wordnet-synsets-1","title":"Automatically constructing Wordnet synsets","date":"2022-08-08","arxiv_id":"2208.03870","repositories_listed":0,"syntology":null},{"url":null,"slug":"automatic-reorientation-by-deep-learning-to","title":"Automatic reorientation by deep learning to generate short axis SPECT myocardial perfusion images","date":"2022-08-07","arxiv_id":"2208.03752","repositories_listed":0,"syntology":null},{"url":null,"slug":"study-of-encoder-decoder-architectures-for","title":"Study of Encoder-Decoder Architectures for Code-Mix Search Query Translation","date":"2022-08-07","arxiv_id":"2208.03713","repositories_listed":0,"syntology":null},{"url":null,"slug":"vernacular-search-query-translation-with","title":"Vernacular Search Query Translation with Unsupervised Domain Adaptation","date":"2022-08-07","arxiv_id":"2208.03711","repositories_listed":0,"syntology":null}],"record_sha256":"0e2a35fb5bdf224ab10f5d1cc6e15f888ce7e1985040c2fd3584799bc0b42eda","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}