{"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/70","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":70,"pages_in_order":124,"rows_per_page":100,"rows":[6901,7000],"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/69","next":"/task/translation/papers/71","papers":[{"url":null,"slug":"on-the-use-of-linguistic-similarities-to","title":"On the use of linguistic similarities to improve Neural Machine Translation for African Languages","date":"2021-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"parameterization-of-hypercomplex","title":"Parameterization of Hypercomplex Multiplications","date":"2021-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"predet-large-scale-weakly-supervised-pre","title":"PreDet: Large-Scale Weakly Supervised Pre-Training for Detection","date":"2021-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"predicting-the-impact-of-dataset-composition","title":"Predicting the impact of dataset composition on model performance","date":"2021-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"prior-knowledge-representation-for-self","title":"Prior Knowledge Representation for Self-Attention Networks","date":"2021-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"quantum-and-translation-embedding-for","title":"Quantum and Translation Embedding for Knowledge Graph Completion","date":"2021-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"recurrently-controlling-a-recurrent-network","title":"Recurrently Controlling a Recurrent Network with Recurrent Networks Controlled by More Recurrent Networks","date":"2021-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"semantically-adaptive-upsampling-for-layout","title":"Semantically-Adaptive Upsampling for Layout-to-Image Translation","date":"2021-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"share-or-not-learning-to-schedule-language","title":"Share or Not? Learning to Schedule Language-Specific Capacity for Multilingual Translation","date":"2021-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":"/paper/subformer-a-parameter-reduced-transformer","slug":"subformer-a-parameter-reduced-transformer","title":"Subformer: A Parameter Reduced Transformer","date":"2021-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"switching-aligned-words-data-augmentation-for","title":"Switching-Aligned-Words Data Augmentation for Neural Machine Translation","date":"2021-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"symbol-shift-equivariant-neural-networks","title":"Symbol-Shift Equivariant Neural Networks","date":"2021-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"syntactic-relevance-xlnet-word-embedding","title":"Syntactic Relevance XLNet Word Embedding Generation in Low-Resource Machine Translation","date":"2021-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"synthesizer-rethinking-self-attention-for","title":"Synthesizer: Rethinking Self-Attention for Transformer Models","date":"2021-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":"/paper/towards-practical-second-order-optimization","slug":"towards-practical-second-order-optimization","title":"Towards Practical Second Order Optimization for Deep Learning","date":"2021-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"translation-memory-guided-neural-machine","title":"Translation Memory Guided Neural Machine Translation","date":"2021-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"unsupervised-disentanglement-learning-by","title":"Unsupervised Disentanglement Learning by intervention","date":"2021-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"unsupervised-word-alignment-via-cross-lingual","title":"Unsupervised Word Alignment via Cross-Lingual Contrastive Learning","date":"2021-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"exploring-monolingual-data-for-neural-machine","title":"Fully Synthetic Data Improves Neural Machine Translation with Knowledge Distillation","date":"2020-12-31","arxiv_id":"2012.15455","repositories_listed":0,"syntology":null},{"url":null,"slug":"neural-machine-translation-a-review-of","title":"Neural Machine Translation: A Review of Methods, Resources, and Tools","date":"2020-12-31","arxiv_id":"2012.15515","repositories_listed":0,"syntology":null},{"url":null,"slug":"revisiting-robust-neural-machine-translation","title":"Revisiting Robust Neural Machine Translation: A Transformer Case Study","date":"2020-12-31","arxiv_id":"2012.15710","repositories_listed":0,"syntology":null},{"url":null,"slug":"xlm-t-scaling-up-multilingual-machine","title":"XLM-T: Scaling up Multilingual Machine Translation with Pretrained Cross-lingual Transformer Encoders","date":"2020-12-31","arxiv_id":"2012.15547","repositories_listed":0,"syntology":null},{"url":null,"slug":"accurate-word-representations-with-universal-1","title":"Accurate Word Representations with Universal Visual Guidance","date":"2020-12-30","arxiv_id":"2012.15086","repositories_listed":0,"syntology":null},{"url":null,"slug":"reservoir-transformer","title":"Reservoir Transformers","date":"2020-12-30","arxiv_id":"2012.15045","repositories_listed":0,"syntology":null},{"url":null,"slug":"synthetic-source-language-augmentation-for","title":"Synthetic Source Language Augmentation for Colloquial Neural Machine Translation","date":"2020-12-30","arxiv_id":"2012.15178","repositories_listed":0,"syntology":null},{"url":null,"slug":"faster-re-translation-using-non","title":"Faster Re-translation Using Non-Autoregressive Model For Simultaneous Neural Machine Translation","date":"2020-12-29","arxiv_id":"2012.14681","repositories_listed":0,"syntology":null},{"url":null,"slug":"understanding-and-improving-lexical-choice-in-1","title":"Understanding and Improving Lexical Choice in Non-Autoregressive Translation","date":"2020-12-29","arxiv_id":"2012.14583","repositories_listed":0,"syntology":null},{"url":null,"slug":"analysis-of-macula-on-color-fundus-images","title":"Analysis of Macula on Color Fundus Images Using Heightmap Reconstruction Through Deep Learning","date":"2020-12-28","arxiv_id":"2012.14140","repositories_listed":0,"syntology":null},{"url":null,"slug":"neural-text-generation-with-artificial","title":"Neural Text Generation with Artificial Negative Examples","date":"2020-12-28","arxiv_id":"2012.14124","repositories_listed":0,"syntology":null},{"url":null,"slug":"pivot-through-english-reliably-answering","title":"Pivot Through English: Reliably Answering Multilingual Questions without Document Retrieval","date":"2020-12-28","arxiv_id":"2012.14094","repositories_listed":0,"syntology":null},{"url":null,"slug":"sg-net-syntax-guided-transformer-for-language","title":"SG-Net: Syntax Guided Transformer for Language Representation","date":"2020-12-27","arxiv_id":"2012.13915","repositories_listed":0,"syntology":null},{"url":null,"slug":"gender-bias-in-multilingual-neural-machine","title":"Gender Bias in Multilingual Neural Machine Translation: The Architecture Matters","date":"2020-12-24","arxiv_id":"2012.13176","repositories_listed":0,"syntology":null},{"url":null,"slug":"why-neural-machine-translation-prefers-empty","title":"Why Neural Machine Translation Prefers Empty Outputs","date":"2020-12-24","arxiv_id":"2012.13454","repositories_listed":0,"syntology":null},{"url":null,"slug":"future-guided-incremental-transformer-for","title":"Future-Guided Incremental Transformer for Simultaneous Translation","date":"2020-12-23","arxiv_id":"2012.12465","repositories_listed":0,"syntology":null},{"url":null,"slug":"icmsc-intra-and-cross-modality-semantic","title":"ICMSC: Intra- and Cross-modality Semantic Consistency for Unsupervised Domain Adaptation on Hip Joint Bone Segmentation","date":"2020-12-23","arxiv_id":"2012.12570","repositories_listed":0,"syntology":null},{"url":null,"slug":"vid2actor-free-viewpoint-animatable-person","title":"Vid2Actor: Free-viewpoint Animatable Person Synthesis from Video in the Wild","date":"2020-12-23","arxiv_id":"2012.12884","repositories_listed":0,"syntology":null},{"url":null,"slug":"domain-adaptation-of-nmt-models-for-english","title":"Domain Adaptation of NMT models for English-Hindi Machine Translation Task at AdapMT ICON 2020","date":"2020-12-22","arxiv_id":"2012.12112","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-histopathological-stain-invariance-by","title":"Towards Histopathological Stain Invariance by Unsupervised Domain Augmentation using Generative Adversarial Networks","date":"2020-12-22","arxiv_id":"2012.12413","repositories_listed":0,"syntology":null},{"url":null,"slug":"cross-domain-latent-modulation-for","title":"Cross-Domain Latent Modulation for Variational Transfer Learning","date":"2020-12-21","arxiv_id":"2012.11727","repositories_listed":0,"syntology":null},{"url":null,"slug":"efficient-object-level-visual-context","title":"Efficient Object-Level Visual Context Modeling for Multimodal Machine Translation: Masking Irrelevant Objects Helps Grounding","date":"2020-12-18","arxiv_id":"2101.05208","repositories_listed":0,"syntology":null},{"url":null,"slug":"collaborative-residual-learners-for-automatic","title":"Collaborative residual learners for automatic icd10 prediction using prescribed medications","date":"2020-12-16","arxiv_id":"2012.11327","repositories_listed":0,"syntology":null},{"url":null,"slug":"ensemble-model-for-pre-discharge-icd10-coding","title":"Ensemble model for pre-discharge icd10 coding prediction","date":"2020-12-16","arxiv_id":"2012.11333","repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-multilingual-neural-machine","title":"Improving Multilingual Neural Machine Translation For Low-Resource Languages: French,English - Vietnamese","date":"2020-12-16","arxiv_id":"2012.08743","repositories_listed":0,"syntology":null},{"url":null,"slug":"shape-my-face-registering-3d-face-scans-by","title":"Shape My Face: Registering 3D Face Scans by Surface-to-Surface Translation","date":"2020-12-16","arxiv_id":"2012.09235","repositories_listed":0,"syntology":null},{"url":null,"slug":"frozen-to-paraffin-categorization-of","title":"Frozen-to-Paraffin: Categorization of Histological Frozen Sections by the Aid of Paraffin Sections and Generative Adversarial Networks","date":"2020-12-15","arxiv_id":"2012.08158","repositories_listed":0,"syntology":null},{"url":null,"slug":"modeling-homophone-noise-for-robust-neural","title":"Modeling Homophone Noise for Robust Neural Machine Translation","date":"2020-12-15","arxiv_id":"2012.08396","repositories_listed":0,"syntology":null},{"url":null,"slug":"graphs-for-deep-learning-representations","title":"Graphs for deep learning representations","date":"2020-12-14","arxiv_id":"2012.07439","repositories_listed":0,"syntology":null},{"url":null,"slug":"sparse-multi-family-deep-scattering-network","title":"Sparse Multi-Family Deep Scattering Network","date":"2020-12-14","arxiv_id":"2012.07662","repositories_listed":0,"syntology":null},{"url":null,"slug":"comparing-the-costs-of-abstraction-for-dl","title":"Comparing the costs of abstraction for DL frameworks","date":"2020-12-13","arxiv_id":"2012.07163","repositories_listed":0,"syntology":null},{"url":null,"slug":"msvd-turkish-a-comprehensive-multimodal","title":"MSVD-Turkish: A Comprehensive Multimodal Dataset for Integrated Vision and Language Research in Turkish","date":"2020-12-13","arxiv_id":"2012.07098","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-case-for-robust-translation-tolerance-in","title":"A case for robust translation tolerance in humans and CNNs. A commentary on Han et al","date":"2020-12-10","arxiv_id":"2012.05950","repositories_listed":0,"syntology":null},{"url":null,"slug":"approches-quantitatives-de-l-analyse-des-pr-e","title":"Approches quantitatives de l'analyse des pr{é}dictions en traduction automatique neuronale (TAN)","date":"2020-12-10","arxiv_id":"2012.05541","repositories_listed":0,"syntology":null},{"url":null,"slug":"exploring-pair-wise-nmt-for-indian-languages","title":"Exploring Pair-Wise NMT for Indian Languages","date":"2020-12-10","arxiv_id":"2012.05786","repositories_listed":0,"syntology":null},{"url":null,"slug":"image-graph-image-translation-via-auto","title":"Image-Graph-Image Translation via Auto-Encoding","date":"2020-12-10","arxiv_id":"2012.05975","repositories_listed":0,"syntology":null},{"url":null,"slug":"multilingual-transfer-learning-for-qa-using","title":"Multilingual Transfer Learning for QA Using Translation as Data Augmentation","date":"2020-12-10","arxiv_id":"2012.05958","repositories_listed":0,"syntology":null},{"url":null,"slug":"rewriter-evaluator-framework-for-neural-1","title":"Rewriter-Evaluator Architecture for Neural Machine Translation","date":"2020-12-10","arxiv_id":"2012.05414","repositories_listed":0,"syntology":null},{"url":null,"slug":"breeding-gender-aware-direct-speech","title":"Breeding Gender-aware Direct Speech Translation Systems","date":"2020-12-09","arxiv_id":"2012.04955","repositories_listed":0,"syntology":null},{"url":null,"slug":"noise-equipped-convolutional-neural-networks","title":"Enhance Convolutional Neural Networks with Noise Incentive Block","date":"2020-12-09","arxiv_id":"2012.12109","repositories_listed":0,"syntology":null},{"url":null,"slug":"positional-encoding-as-spatial-inductive-bias","title":"Positional Encoding as Spatial Inductive Bias in GANs","date":"2020-12-09","arxiv_id":"2012.05217","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-annotation-free-evaluation-of-cross","title":"Towards Annotation-Free Evaluation of Cross-Lingual Image Captioning","date":"2020-12-09","arxiv_id":"2012.04925","repositories_listed":0,"syntology":null},{"url":null,"slug":"revisiting-iterative-back-translation-from","title":"Revisiting Iterative Back-Translation from the Perspective of Compositional Generalization","date":"2020-12-08","arxiv_id":"2012.04276","repositories_listed":0,"syntology":null},{"url":null,"slug":"document-graph-for-neural-machine-translation","title":"Document Graph for Neural Machine Translation","date":"2020-12-07","arxiv_id":"2012.03477","repositories_listed":0,"syntology":null},{"url":null,"slug":"semantic-segmentation-of-medium-resolution","title":"Semantic Segmentation of Medium-Resolution Satellite Imagery using Conditional Generative Adversarial Networks","date":"2020-12-05","arxiv_id":"2012.03093","repositories_listed":0,"syntology":null},{"url":null,"slug":"cit-gan-cyclic-image-translation-generative","title":"CIT-GAN: Cyclic Image Translation Generative Adversarial Network With Application in Iris Presentation Attack Detection","date":"2020-12-04","arxiv_id":"2012.02374","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-learning-and-the-global-workspace-theory","title":"Deep Learning and the Global Workspace Theory","date":"2020-12-04","arxiv_id":"2012.10390","repositories_listed":0,"syntology":null},{"url":null,"slug":"relational-pretrained-transformers-towards","title":"RPT: Relational Pre-trained Transformer Is Almost All You Need towards Democratizing Data Preparation","date":"2020-12-04","arxiv_id":"2012.02469","repositories_listed":0,"syntology":null},{"url":null,"slug":"cut-controllable-unsupervised-text","title":"CUT: Controllable Unsupervised Text Simplification","date":"2020-12-03","arxiv_id":"2012.01936","repositories_listed":0,"syntology":null},{"url":null,"slug":"fairness-considered-harmful-on-the-non","title":"Non-portability of Algorithmic Fairness in India","date":"2020-12-03","arxiv_id":"2012.03659","repositories_listed":0,"syntology":null},{"url":null,"slug":"flow-based-deformation-guidance-for-unpaired","title":"Flow-based Deformation Guidance for Unpaired Multi-Contrast MRI Image-to-Image Translation","date":"2020-12-03","arxiv_id":"2012.01777","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-computational-approach-to-measuring-the","title":"A Computational Approach to Measuring the Semantic Divergence of Cognates","date":"2020-12-02","arxiv_id":"2012.01288","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-locally-linear-procedure-for-word","title":"A Locally Linear Procedure for Word Translation","date":"2020-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"a-multilingual-reading-comprehension-system","title":"A Multilingual Reading Comprehension System for more than 100 Languages","date":"2020-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"a-review-of-discourse-level-machine","title":"A Review of Discourse-level Machine Translation","date":"2020-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"a-semi-supervised-bert-approach-for-arabic","title":"A Semi-Supervised BERT Approach for Arabic Named Entity Recognition","date":"2020-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"a-test-suite-for-evaluating-discourse","title":"A Test Suite for Evaluating Discourse Phenomena in Document-level Neural Machine Translation","date":"2020-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"adapnmt-neural-machine-translation-with","title":"AdapNMT : Neural Machine Translation with Technical Domain Adaptation for Indic Languages","date":"2020-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"airport-announcement-system-for-deaf","title":"Airport Announcement System for Deaf","date":"2020-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"alexu-backtranslation-tl-at-semeval-2020-task","title":"AlexU-BackTranslation-TL at SemEval-2020 Task 12: Improving Offensive Language Detection Using Data Augmentation and Transfer Learning","date":"2020-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"an-effective-optimization-method-for-neural","title":"An Effective Optimization Method for Neural Machine Translation: The Case of English-Persian Bilingually Low-Resource Scenario","date":"2020-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"an-error-based-investigation-of-statistical","title":"An Error-based Investigation of Statistical and Neural Machine Translation Performance on Hindi-to-Tamil and English-to-Tamil","date":"2020-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"an-exploratory-study-on-multilingual-quality","title":"An Exploratory Study on Multilingual Quality Estimation","date":"2020-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"arabench-benchmarking-dialectal-arabic","title":"AraBench: Benchmarking Dialectal Arabic-English Machine Translation","date":"2020-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"automatic-translation-of-complex-english","title":"Automatic Translation of Complex English Sentences to Indian Sign Language Synthetic Video Animations","date":"2020-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"bert-enhanced-neural-machine-translation-and","title":"BERT Enhanced Neural Machine Translation and Sequence Tagging Model for Chinese Grammatical Error Diagnosis","date":"2020-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"bilingual-subword-segmentation-for-neural","title":"Bilingual Subword Segmentation for Neural Machine Translation","date":"2020-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"bridging-philippine-languages-with","title":"Bridging Philippine Languages With Multilingual Neural Machine Translation","date":"2020-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"building-the-first-english-brazilian","title":"Building The First English-Brazilian Portuguese Corpus for Automatic Post-Editing","date":"2020-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"character-alignment-in-morphologically","title":"Character Alignment in Morphologically Complex Translation Sets for Related Languages","date":"2020-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"combining-word-embeddings-with-bilingual","title":"Combining Word Embeddings with Bilingual Orthography Embeddings for Bilingual Dictionary Induction","date":"2020-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"comparison-of-the-effects-of-attention","title":"Comparison of the effects of attention mechanism on translation tasks of different lengths of ambiguous words","date":"2020-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"component-sharing-in-english-and-chinese","title":"Component Sharing in English and Chinese Clause Complex","date":"2020-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"context-aware-text-normalisation-for","title":"Context-Aware Text Normalisation for Historical Dialects","date":"2020-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"contracat-contrastive-coreference-analytical","title":"ContraCAT: Contrastive Coreference Analytical Templates for Machine Translation","date":"2020-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"coreference-strategies-in-english-german","title":"Coreference Strategies in English-German Translation","date":"2020-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"cross-lingual-emotion-lexicon-induction-using","title":"Cross-Lingual Emotion Lexicon Induction using Representation Alignment in Low-Resource Settings","date":"2020-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"data-selection-for-bilingual-lexicon","title":"Data Selection for Bilingual Lexicon Induction from Specialized Comparable Corpora","date":"2020-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"development-of-hybrid-algorithm-for-automatic","title":"Development of Hybrid Algorithm for Automatic Extraction of Multiword Expressions from Monolingual and Parallel Corpus of English and Punjabi","date":"2020-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"document-level-neural-machine-translation-3","title":"Document-Level Neural Machine Translation Using BERT as Context Encoder","date":"2020-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"domain-adaptation-of-nmt-models-for-english-1","title":"Domain Adaptation of NMT models for English-Hindi Machine Translation Task : AdapMT Shared Task ICON 2020","date":"2020-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"domain-transfer-based-data-augmentation-for","title":"Domain Transfer based Data Augmentation for Neural Query Translation","date":"2020-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null}],"record_sha256":"679e1579eba65ef6a13ca33479fd3e416db7a5501d1912605defdcaad6ebff3b","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}