{"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/84","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":84,"pages_in_order":124,"rows_per_page":100,"rows":[8301,8400],"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/83","next":"/task/translation/papers/85","papers":[{"url":null,"slug":"context-aware-neural-machine-translation-with","title":"Context-aware Neural Machine Translation with Coreference Information","date":"2019-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"controlling-japanese-honorifics-in-english-to","title":"Controlling Japanese Honorifics in English-to-Japanese Neural Machine Translation","date":"2019-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"cross-lingual-word-embeddings-and-the","title":"Cross-Lingual Word Embeddings and the Structure of the Human Bilingual Lexicon","date":"2019-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"cross-task-knowledge-transfer-for-query-based","title":"Cross-Task Knowledge Transfer for Query-Based Text Summarization","date":"2019-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"cvits-submissions-to-wat-2019","title":"CVIT's submissions to WAT-2019","date":"2019-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"data-augmentation-for-end-to-end-speech","title":"Data Augmentation for End-to-End Speech Translation: FBK@IWSLT ‘19","date":"2019-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"data-augmentation-using-back-translation-for","title":"Data augmentation using back-translation for context-aware neural machine translation","date":"2019-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"domain-adaptation-of-document-level-nmt-in","title":"Domain Adaptation of Document-Level NMT in IWSLT19","date":"2019-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"efficient-bilingual-generalization-from","title":"Efficient Bilingual Generalization from Neural Transduction Grammar Induction","date":"2019-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"empirical-evaluation-of-active-learning","title":"Empirical Evaluation of Active Learning Techniques for Neural MT","date":"2019-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"end-to-end-speech-translation-system","title":"End-to-end Speech Translation System Description of LIT for IWSLT 2019","date":"2019-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"english-myanmar-supervised-and-unsupervised","title":"English-Myanmar Supervised and Unsupervised NMT: NICT's Machine Translation Systems at WAT-2019","date":"2019-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"english-to-hindi-multi-modal-neural-machine","title":"English to Hindi Multi-modal Neural Machine Translation and Hindi Image Captioning","date":"2019-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"espnet-how2-speech-translation-system-for","title":"ESPnet How2 Speech Translation System for IWSLT 2019: Pre-training, Knowledge Distillation, and Going Deeper","date":"2019-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":"/paper/exploiting-monolingual-data-at-scale-for","slug":"exploiting-monolingual-data-at-scale-for","title":"Exploiting Monolingual Data at Scale for Neural Machine Translation","date":"2019-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"exploiting-multilingualism-through-multistage","title":"Exploiting Multilingualism through Multistage Fine-Tuning for Low-Resource Neural Machine Translation","date":"2019-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"from-research-to-production-and-back","title":"From Research to Production and Back: Ludicrously Fast Neural Machine Translation","date":"2019-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"fully-unsupervised-crosslingual-semantic","title":"Fully Unsupervised Crosslingual Semantic Textual Similarity Metric Based on BERT for Identifying Parallel Data","date":"2019-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"generic-and-specialized-word-embeddings-for","title":"Generic and Specialized Word Embeddings for Multi-Domain Machine Translation","date":"2019-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"graph-enhanced-cross-domain-text-to-sql","title":"Graph Enhanced Cross-Domain Text-to-SQL Generation","date":"2019-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"hablex-human-annotated-bilingual-lexicons-for","title":"HABLex: Human Annotated Bilingual Lexicons for Experiments in Machine Translation","date":"2019-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"hierarchical-modeling-of-global-context-for","title":"Hierarchical Modeling of Global Context for Document-Level Neural Machine Translation","date":"2019-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"idiap-nmt-system-for-wat-2019-multimodal","title":"Idiap NMT System for WAT 2019 Multimodal Translation Task","date":"2019-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-neural-machine-translation-by-2","title":"Improving Neural Machine Translation by Achieving Knowledge Transfer with Sentence Alignment Learning","date":"2019-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"investigating-the-effectiveness-of-bpe-the","title":"Investigating the Effectiveness of BPE: The Power of Shorter Sequences","date":"2019-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"japanese-russian-tmu-neural-machine","title":"Japanese-Russian TMU Neural Machine Translation System using Multilingual Model for WAT 2019","date":"2019-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"kits-submission-to-the-iwslt-2019-shared-task","title":"KIT’s Submission to the IWSLT 2019 Shared Task on Text Translation","date":"2019-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"knu-hyundais-nmt-system-for-scientific-paper","title":"KNU-HYUNDAI's NMT system for Scientific Paper and Patent Tasks onWAT 2019","date":"2019-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"large-scale-diverse-paraphrastic-bitexts-via","title":"Large-Scale, Diverse, Paraphrastic Bitexts via Sampling and Clustering","date":"2019-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-to-generate-word-and-phrase","title":"Learning to Generate Word- and Phrase-Embeddings for Efficient Phrase-Based Neural Machine Translation","date":"2019-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-with-limited-data-for-multilingual","title":"Learning with Limited Data for Multilingual Reading Comprehension","date":"2019-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"lexical-micro-adaptation-for-neural-machine","title":"Lexical Micro-adaptation for Neural Machine Translation","date":"2019-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"long-warm-up-and-self-training-training","title":"Long Warm-up and Self-Training: Training Strategies of NICT-2 NMT System at WAT-2019","date":"2019-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"ltrc-mt-simple-textbackslash-effective-hindi","title":"LTRC-MT Simple \\& Effective Hindi-English Neural Machine Translation Systems at WAT 2019","date":"2019-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"machine-translation-with-weakly-paired-1","title":"Machine Translation With Weakly Paired Documents","date":"2019-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"mixed-multi-head-self-attention-for-neural","title":"Mixed Multi-Head Self-Attention for Neural Machine Translation","date":"2019-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"monash-universitys-submissions-to-the-wngt","title":"Monash University's Submissions to the WNGT 2019 Document Translation Task","date":"2019-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"mulcode-a-multiplicative-multi-way-model-for","title":"MulCode: A Multiplicative Multi-way Model for Compressing Neural Language Model","date":"2019-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-task-modeling-of-phonographic-languages","title":"Multi-Task Modeling of Phonographic Languages: Translating Middle Egyptian Hieroglyphs","date":"2019-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"multilingual-whispers-generating-paraphrases","title":"Multilingual Whispers: Generating Paraphrases with Translation","date":"2019-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"multilingual-word-translation-using-auxiliary","title":"Multilingual word translation using auxiliary languages","date":"2019-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"neural-cross-lingual-event-detection-with","title":"Neural Cross-Lingual Event Detection with Minimal Parallel Resources","date":"2019-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"neural-machine-translation-system-using-a","title":"Neural Machine Translation System using a Content-equivalently Translated Parallel Corpus for the Newswire Translation Tasks at WAT 2019","date":"2019-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"neural-speech-translation-using-lattice","title":"Neural Speech Translation using Lattice Transformations and Graph Networks","date":"2019-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"nicts-participation-to-wat-2019","title":"NICT's participation to WAT 2019: Multilingualism and Multi-step Fine-Tuning for Low Resource NMT","date":"2019-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"nlprl-at-wat2019-transformer-based-tamil","title":"NLPRL at WAT2019: Transformer-based Tamil -- English Indic Task Neural Machine Translation System","date":"2019-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"normalization-of-indonesian-english-code","title":"Normalization of Indonesian-English Code-Mixed Twitter Data","date":"2019-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"ntt-neural-machine-translation-systems-at-wat-1","title":"NTT Neural Machine Translation Systems at WAT 2019","date":"2019-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"on-the-linguistic-representational-power-of","title":"On the Linguistic Representational Power of Neural Machine Translation Models","date":"2019-11-01","arxiv_id":"1911.00317","repositories_listed":0,"syntology":null},{"url":null,"slug":"on-the-relation-between-position-information","title":"On the Relation between Position Information and Sentence Length in Neural Machine Translation","date":"2019-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"oppo-nmt-system-for-iwslt-2019","title":"OPPO NMT System for IWSLT 2019","date":"2019-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"our-neural-machine-translation-systems-for","title":"Our Neural Machine Translation Systems for WAT 2019","date":"2019-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"overview-of-the-6th-workshop-on-asian","title":"Overview of the 6th Workshop on Asian Translation","date":"2019-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"phonetic-normalization-for-machine","title":"Phonetic Normalization for Machine Translation of User Generated Content","date":"2019-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"proceedings-of-the-3rd-workshop-on-neural","title":"Proceedings of the 3rd Workshop on Neural Generation and Translation","date":"2019-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"proceedings-of-the-6th-workshop-on-asian","title":"Proceedings of the 6th Workshop on Asian Translation","date":"2019-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"proceedings-of-the-fourth-workshop-on-5","title":"Proceedings of the Fourth Workshop on Discourse in Machine Translation (DiscoMT 2019)","date":"2019-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"recurrent-positional-embedding-for-neural","title":"Recurrent Positional Embedding for Neural Machine Translation","date":"2019-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"recycling-a-pre-trained-bert-encoder-for","title":"Recycling a Pre-trained BERT Encoder for Neural Machine Translation","date":"2019-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"revisit-automatic-error-detection-for-wrong","title":"Revisit Automatic Error Detection for Wrong and Missing Translation -- A Supervised Approach","date":"2019-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"samsungs-system-for-the-iwslt-2019-end-to-end","title":"Samsung’s System for the IWSLT 2019 End-to-End Speech Translation Task","date":"2019-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"selecting-planning-and-rewriting-a-modular","title":"Selecting, Planning, and Rewriting: A Modular Approach for Data-to-Document Generation and Translation","date":"2019-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"self-adaptive-scaling-for-learnable-residual","title":"Self-Adaptive Scaling for Learnable Residual Structure","date":"2019-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"sentiment-aware-neural-machine-translation","title":"Sentiment Aware Neural Machine Translation","date":"2019-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"supervised-and-unsupervised-machine","title":"Supervised and Unsupervised Machine Translation for Myanmar-English and Khmer-English","date":"2019-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"supervised-neural-machine-translation-based","title":"Supervised neural machine translation based on data augmentation and improved training \\& inference process","date":"2019-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"surface-realization-shared-task-2019-msr19","title":"Surface Realization Shared Task 2019 (MSR19): The Team 6 Approach","date":"2019-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"synchronously-generating-two-languages-with","title":"Synchronously Generating Two Languages with Interactive Decoding","date":"2019-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"systran-wat-2019-russian-japanese-news","title":"SYSTRAN @ WAT 2019: Russian-Japanese News Commentary task","date":"2019-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"systran-wngt-2019-dgt-task","title":"SYSTRAN @ WNGT 2019: DGT Task","date":"2019-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"the-challenges-of-optimizing-machine","title":"The Challenges of Optimizing Machine Translation for Low Resource Cross-Language Information Retrieval","date":"2019-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"the-iwslt-2019-evaluation-campaign","title":"The IWSLT 2019 Evaluation Campaign","date":"2019-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"the-iwslt-2019-kit-speech-translation-system","title":"The IWSLT 2019 KIT Speech Translation System","date":"2019-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"transformer-dissection-an-unified-1","title":"Transformer Dissection: An Unified Understanding for Transformer's Attention via the Lens of Kernel","date":"2019-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"ucsmnlp-statistical-machine-translation-for","title":"UCSMNLP: Statistical Machine Translation for WAT 2019","date":"2019-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"ucsynlp-lab-machine-translation-systems-for","title":"UCSYNLP-Lab Machine Translation Systems for WAT 2019","date":"2019-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"understanding-data-augmentation-in-neural","title":"Understanding Data Augmentation in Neural Machine Translation: Two Perspectives towards Generalization","date":"2019-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"understanding-the-effect-of-textual","title":"Understanding the Effect of Textual Adversaries in Multimodal Machine Translation","date":"2019-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"unsupervised-neural-machine-translation-with-3","title":"Unsupervised Neural Machine Translation with Future Rewarding","date":"2019-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"vecalign-improved-sentence-alignment-in","title":"Vecalign: Improved Sentence Alignment in Linear Time and Space","date":"2019-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"wat2019-english-hindi-translation-on-hindi","title":"WAT2019: English-Hindi Translation on Hindi Visual Genome Dataset","date":"2019-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"weakly-supervised-attentional-model-for-low","title":"Weakly Supervised Attentional Model for Low Resource Ad-hoc Cross-lingual Information Retrieval","date":"2019-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"weakly-supervised-cross-lingual-semantic","title":"Weakly Supervised Cross-lingual Semantic Relation Classification via Knowledge Distillation","date":"2019-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"yall-should-read-this-identifying-plurality-1","title":"Y'all should read this! Identifying Plurality in Second-Person Personal Pronouns in English Texts","date":"2019-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"zero-resource-neural-machine-translation-with-1","title":"Zero-Resource Neural Machine Translation with Monolingual Pivot Data","date":"2019-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"document-level-neural-machine-translation-2","title":"Document-level Neural Machine Translation with Associated Memory Network","date":"2019-10-31","arxiv_id":"1910.14528","repositories_listed":0,"syntology":null},{"url":null,"slug":"machine-translation-of-restaurant-reviews-new","title":"Machine Translation of Restaurant Reviews: New Corpus for Domain Adaptation and Robustness","date":"2019-10-31","arxiv_id":"1910.14589","repositories_listed":0,"syntology":null},{"url":null,"slug":"naver-labs-europes-systems-for-the-document","title":"Naver Labs Europe's Systems for the Document-Level Generation and Translation Task at WNGT 2019","date":"2019-10-31","arxiv_id":"1910.14539","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-augmented-transformer-architecture-for","title":"An Augmented Transformer Architecture for Natural Language Generation Tasks","date":"2019-10-30","arxiv_id":"1910.13634","repositories_listed":0,"syntology":null},{"url":null,"slug":"fill-in-the-blanks-imputing-missing-sentences","title":"Fill in the Blanks: Imputing Missing Sentences for Larger-Context Neural Machine Translation","date":"2019-10-30","arxiv_id":"1910.14075","repositories_listed":0,"syntology":null},{"url":null,"slug":"motion-nets-6d-tracking-of-unknown-objects-in","title":"Motion-Nets: 6D Tracking of Unknown Objects in Unseen Environments using RGB","date":"2019-10-30","arxiv_id":"1910.13942","repositories_listed":0,"syntology":null},{"url":null,"slug":"on-trac-consortium-end-to-end-speech","title":"ON-TRAC Consortium End-to-End Speech Translation Systems for the IWSLT 2019 Shared Task","date":"2019-10-30","arxiv_id":"1910.13689","repositories_listed":0,"syntology":null},{"url":null,"slug":"ordering-matters-word-ordering-aware","title":"Scrambled Translation Problem: A Problem of Denoising UNMT","date":"2019-10-30","arxiv_id":"1911.01212","repositories_listed":0,"syntology":null},{"url":null,"slug":"191013215","title":"Transformer-based Cascaded Multimodal Speech Translation","date":"2019-10-29","arxiv_id":"1910.13215","repositories_listed":0,"syntology":null},{"url":null,"slug":"191013276","title":"a novel cross-lingual voice cloning approach with a few text-free samples","date":"2019-10-29","arxiv_id":"1910.13276","repositories_listed":0,"syntology":null},{"url":null,"slug":"191013299","title":"Findings of the Third Workshop on Neural Generation and Translation","date":"2019-10-29","arxiv_id":"1910.13299","repositories_listed":0,"syntology":null},{"url":null,"slug":"191013437","title":"An Empirical Study of Generation Order for Machine Translation","date":"2019-10-29","arxiv_id":"1910.13437","repositories_listed":0,"syntology":null},{"url":null,"slug":"big-bidirectional-insertion-representations","title":"Big Bidirectional Insertion Representations for Documents","date":"2019-10-29","arxiv_id":"1910.13034","repositories_listed":0,"syntology":null},{"url":null,"slug":"exploring-kernel-functions-in-the-softmax","title":"Exploring Kernel Functions in the Softmax Layer for Contextual Word Classification","date":"2019-10-28","arxiv_id":"1910.12554","repositories_listed":0,"syntology":null},{"url":null,"slug":"multitask-learning-for-different-subword","title":"Multitask Learning For Different Subword Segmentations In Neural Machine Translation","date":"2019-10-27","arxiv_id":"1910.12368","repositories_listed":0,"syntology":null}],"record_sha256":"af4392b5f6a00964d455853e4b41c560ccae6e7d57bb3bc2bb026a954bf6023d","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}