{"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/machine-translation/papers/66","list_of":"/task/machine-translation","task":"Machine 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":66,"pages_in_order":108,"rows_per_page":100,"rows":[6501,6600],"of":10752,"counts":{"archive_papers_tagged":10752,"with_a_code_link":2444,"where_syntology_ran_a_sample":477,"not_listed_spam_title":0,"listed":10752,"listed_where_code_ran":477,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":381,"every_run_a_failure_of_syntologys_instrument":96,"listed_with_a_run_with_no_instrument_failure":381,"listed_every_run_a_failure_of_syntologys_instrument":96,"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/machine-translation","prev":"/task/machine-translation/papers/65","next":"/task/machine-translation/papers/67","papers":[{"url":null,"slug":"neural-machine-translation-inspired-binary","title":"Neural Machine Translation Inspired Binary Code Similarity Comparison beyond Function Pairs","date":"2018-08-08","arxiv_id":"1808.04706","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-chinese-writing-correction-system-for","title":"A Chinese Writing Correction System for Learning Chinese as a Foreign Language","date":"2018-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"a-cross-lingual-messenger-with-keyword","title":"A Cross-lingual Messenger with Keyword Searchable Phrases for the Travel Domain","date":"2018-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"a-full-end-to-end-semantic-role-labeler","title":"A Full End-to-End Semantic Role Labeler, Syntactic-agnostic Over Syntactic-aware?","date":"2018-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"a-knowledge-augmented-neural-network-model","title":"A Knowledge-Augmented Neural Network Model for Implicit Discourse Relation Classification","date":"2018-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"a-lstm-approach-with-sub-word-embeddings-for","title":"A LSTM Approach with Sub-Word Embeddings for Mongolian Phrase Break Prediction","date":"2018-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"a-method-for-human-interpretable","title":"A Method for Human-Interpretable Paraphrasticality Prediction","date":"2018-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"a-neural-morphological-analyzer-for-arapaho","title":"A Neural Morphological Analyzer for Arapaho Verbs Learned from a Finite State Transducer","date":"2018-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"a-prospective-performance-network-to","title":"A Prospective-Performance Network to Alleviate Myopia in Beam Search for Response Generation","date":"2018-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"a-rule-based-system-for-disambiguating-french","title":"A Rule-Based System for Disambiguating French Locative Verbs and Their Translation into Arabic","date":"2018-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"abstractive-unsupervised-multi-document","title":"Abstractive Unsupervised Multi-Document Summarization using Paraphrastic Sentence Fusion","date":"2018-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"adopting-the-word-pair-dependency-triplets","title":"Adopting the Word-Pair-Dependency-Triplets with Individual Comparison for Natural Language Inference","date":"2018-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"appraise-evaluation-framework-for-machine","title":"Appraise Evaluation Framework for Machine Translation","date":"2018-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"aspect-and-sentiment-aware-abstractive-review","title":"Aspect and Sentiment Aware Abstractive Review Summarization","date":"2018-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"assessing-quality-estimation-models-for","title":"Assessing Quality Estimation Models for Sentence-Level Prediction","date":"2018-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"construction-of-a-multilingual-corpus","title":"Construction of a Multilingual Corpus Annotated with Translation Relations","date":"2018-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"context-sensitive-generation-of-open-domain","title":"Context-Sensitive Generation of Open-Domain Conversational Responses","date":"2018-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"contractions-to-align-or-not-to-align-that-is","title":"Contractions: To Align or Not to Align, That Is the Question","date":"2018-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"cool-english-a-grammatical-error-correction","title":"Cool English: a Grammatical Error Correction System Based on Large Learner Corpora","date":"2018-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"data-driven-text-simplification","title":"Data-Driven Text Simplification","date":"2018-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-bayesian-learning-and-understanding","title":"Deep Bayesian Learning and Understanding","date":"2018-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-models-for-arabic-dialect-identification","title":"Deep Models for Arabic Dialect Identification on Benchmarked Data","date":"2018-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-neural-networks-at-the-service-of","title":"Deep Neural Networks at the Service of Multilingual Parallel Sentence Extraction","date":"2018-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"discourse-annotation-in-the-pdtb-the-next","title":"Discourse Annotation in the PDTB: The Next Generation","date":"2018-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"do-character-level-neural-network-language","title":"Do Character-Level Neural Network Language Models Capture Knowledge of Multiword Expression Compositionality?","date":"2018-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"dynamic-feature-selection-with-attention-in","title":"Dynamic Feature Selection with Attention in Incremental Parsing","date":"2018-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"enabling-code-mixed-translation-parallel","title":"Enabling Code-Mixed Translation: Parallel Corpus Creation and MT Augmentation Approach","date":"2018-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"enhanced-aspect-level-sentiment","title":"Enhanced Aspect Level Sentiment Classification with Auxiliary Memory","date":"2018-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"fast-and-accurate-reordering-with-itg","title":"Fast and Accurate Reordering with ITG Transition RNN","date":"2018-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"fine-grained-arabic-dialect-identification","title":"Fine-Grained Arabic Dialect Identification","date":"2018-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"hl-encdec-a-hybrid-level-encoder-decoder-for","title":"HL-EncDec: A Hybrid-Level Encoder-Decoder for Neural Response Generation","date":"2018-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"iit-bhu-system-for-indo-aryan-language","title":"IIT (BHU) System for Indo-Aryan Language Identification (ILI) at VarDial 2018","date":"2018-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-neural-machine-translation-by","title":"Improving Neural Machine Translation by Incorporating Hierarchical Subword Features","date":"2018-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"incorporating-syntactic-uncertainty-in-neural","title":"Incorporating Syntactic Uncertainty in Neural Machine Translation with a Forest-to-Sequence Model","date":"2018-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"indigenous-language-technologies-in-canada","title":"Indigenous language technologies in Canada: Assessment, challenges, and successes","date":"2018-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"joint-modeling-of-structure-identification","title":"Joint Modeling of Structure Identification and Nuclearity Recognition in Macro Chinese Discourse Treebank","date":"2018-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"kit-lecture-translator-multilingual-speech","title":"KIT Lecture Translator: Multilingual Speech Translation with One-Shot Learning","date":"2018-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"lcqmca-large-scale-chinese-question-matching","title":"LCQMC:A Large-scale Chinese Question Matching Corpus","date":"2018-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-with-noise-contrastive-estimation","title":"Learning with Noise-Contrastive Estimation: Easing training by learning to scale","date":"2018-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"leveraging-meta-embeddings-for-bilingual","title":"Leveraging Meta-Embeddings for Bilingual Lexicon Extraction from Specialized Comparable Corpora","date":"2018-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"local-string-transduction-as-sequence","title":"Local String Transduction as Sequence Labeling","date":"2018-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"low-latency-neural-speech-translation","title":"Low-Latency Neural Speech Translation","date":"2018-08-01","arxiv_id":"1808.00491","repositories_listed":0,"syntology":null},{"url":null,"slug":"model-free-context-aware-word-composition","title":"Model-Free Context-Aware Word Composition","date":"2018-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"monolingual-and-cross-lingual-zero-shot-style","title":"Monolingual and Cross-lingual Zero-shot Style Transfer","date":"2018-08-01","arxiv_id":"1808.00179","repositories_listed":0,"syntology":null},{"url":null,"slug":"mumpitz-at-parseme-shared-task-2018-a","title":"Mumpitz at PARSEME Shared Task 2018: A Bidirectional LSTM for the Identification of Verbal Multiword Expressions","date":"2018-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"natural-language-interface-for-databases","title":"Natural Language Interface for Databases Using a Dual-Encoder Model","date":"2018-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"neural-machine-translation-incorporating","title":"Neural Machine Translation Incorporating Named Entity","date":"2018-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"neural-machine-translation-with-decoding","title":"Neural Machine Translation with Decoding History Enhanced Attention","date":"2018-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"neural-network-architectures-for-arabic","title":"Neural Network Architectures for Arabic Dialect Identification","date":"2018-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"normalizing-early-english-letters-to-present","title":"Normalizing Early English Letters to Present-day English Spelling","date":"2018-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"parallel-corpora-for-bi-directional","title":"Parallel Corpora for bi-Directional Statistical Machine Translation for Seven Ethiopian Language Pairs","date":"2018-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"parallel-corpora-for-bi-lingual-english","title":"Parallel Corpora for bi-lingual English-Ethiopian Languages Statistical Machine Translation","date":"2018-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"paraphrastic-variance-between-european-and","title":"Paraphrastic Variance between European and Brazilian Portuguese","date":"2018-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"semi-supervised-disfluency-detection","title":"Semi-Supervised Disfluency Detection","date":"2018-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"sentence-weighting-for-neural-machine","title":"Sentence Weighting for Neural Machine Translation Domain Adaptation","date":"2018-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"simulating-language-evolution-a-tool-for","title":"Simulating Language Evolution: a Tool for Historical Linguistics","date":"2018-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"source-critical-reinforcement-learning-for-1","title":"Source Critical Reinforcement Learning for Transferring Spoken Language Understanding to a New Language","date":"2018-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"tailoring-neural-architectures-for","title":"Tailoring Neural Architectures for Translating from Morphologically Rich Languages","date":"2018-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"the-other-side-of-the-coin-unsupervised","title":"The Other Side of the Coin: Unsupervised Disambiguation of Potentially Idiomatic Expressions by Contrasting Senses","date":"2018-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"toward-better-loanword-identification-in","title":"Toward Better Loanword Identification in Uyghur Using Cross-lingual Word Embeddings","date":"2018-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-a-computational-lexicon-for-moroccan","title":"Towards a Computational Lexicon for Moroccan Darija: Words, Idioms, and Constructions","date":"2018-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-an-automatic-classification-of","title":"Towards an Automatic Classification of Illustrative Examples in a Large Japanese-French Dictionary Obtained by OCR","date":"2018-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"treat-us-like-the-sequences-we-are","title":"Treat us like the sequences we are: Prepositional Paraphrasing of Noun Compounds using LSTM","date":"2018-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"using-the-nunavut-hansard-data-for","title":"Using the Nunavut Hansard Data for Experiments in Morphological Analysis and Machine Translation","date":"2018-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"effective-parallel-corpus-mining-using","title":"Effective Parallel Corpus Mining using Bilingual Sentence Embeddings","date":"2018-07-31","arxiv_id":"1807.11906","repositories_listed":0,"syntology":null},{"url":null,"slug":"doubly-attentive-transformer-machine","title":"Doubly Attentive Transformer Machine Translation","date":"2018-07-30","arxiv_id":"1807.11605","repositories_listed":0,"syntology":null},{"url":null,"slug":"training-neural-machine-translation-using","title":"Training Neural Machine Translation using Word Embedding-based Loss","date":"2018-07-30","arxiv_id":"1807.11219","repositories_listed":0,"syntology":null},{"url":null,"slug":"neural-machine-translation-framework-based","title":"NMT-based Cross-lingual Document Embeddings","date":"2018-07-29","arxiv_id":"1807.11057","repositories_listed":0,"syntology":null},{"url":null,"slug":"back-translation-style-data-augmentation-for","title":"Back-Translation-Style Data Augmentation for End-to-End ASR","date":"2018-07-28","arxiv_id":"1807.10893","repositories_listed":0,"syntology":null},{"url":null,"slug":"inductive-visual-localisation-factorised","title":"Inductive Visual Localisation: Factorised Training for Superior Generalisation","date":"2018-07-21","arxiv_id":"1807.08179","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-hand-held-multimedia-translation-and","title":"A Hand-Held Multimedia Translation and Interpretation System with Application to Diet Management","date":"2018-07-17","arxiv_id":"1807.07149","repositories_listed":0,"syntology":null},{"url":null,"slug":"generating-synthetic-data-for-neural-keyword","title":"Generating Synthetic Data for Neural Keyword-to-Question Models","date":"2018-07-14","arxiv_id":"1807.05324","repositories_listed":0,"syntology":null},{"url":null,"slug":"recurrent-stacking-of-layers-for-compact","title":"Recurrent Stacking of Layers for Compact Neural Machine Translation Models","date":"2018-07-14","arxiv_id":"1807.05353","repositories_listed":0,"syntology":null},{"url":null,"slug":"linear-transformations-for-cross-lingual","title":"Linear Transformations for Cross-lingual Semantic Textual Similarity","date":"2018-07-11","arxiv_id":"1807.04172","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-the-sequential-temporal-information","title":"Learning The Sequential Temporal Information with Recurrent Neural Networks","date":"2018-07-08","arxiv_id":"1807.02857","repositories_listed":0,"syntology":null},{"url":null,"slug":"addressing-the-barriers-to-interlingual-rule","title":"A Concept Specification and Abstraction-based Semantic Representation: Addressing the Barriers to Rule-based Machine Translation","date":"2018-07-06","arxiv_id":"1807.02226","repositories_listed":0,"syntology":null},{"url":null,"slug":"testing-untestable-neural-machine-translation","title":"Testing Untestable Neural Machine Translation: An Industrial Case","date":"2018-07-06","arxiv_id":"1807.02340","repositories_listed":0,"syntology":null},{"url":null,"slug":"diversity-in-machine-learning","title":"Diversity in Machine Learning","date":"2018-07-04","arxiv_id":"1807.01477","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-neural-approach-to-language-variety","title":"A Neural Approach to Language Variety Translation","date":"2018-07-02","arxiv_id":"1807.00651","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-context-aware-convolutional-natural","title":"A Context-aware Convolutional Natural Language Generation model for Dialogue Systems","date":"2018-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"a-deep-learning-based-approach-to","title":"A Deep Learning Based Approach to Transliteration","date":"2018-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"a-hybrid-learning-scheme-for-chinese-word","title":"A Hybrid Learning Scheme for Chinese Word Embedding","date":"2018-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"a-neural-approach-to-pun-generation","title":"A Neural Approach to Pun Generation","date":"2018-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"a-simple-and-effective-approach-to-coverage","title":"A Simple and Effective Approach to Coverage-Aware Neural Machine Translation","date":"2018-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"adaptive-knowledge-sharing-in-multi-task","title":"Adaptive Knowledge Sharing in Multi-Task Learning: Improving Low-Resource Neural Machine Translation","date":"2018-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"are-bleu-and-meaning-representation-in-1","title":"Are BLEU and Meaning Representation in Opposition?","date":"2018-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"automatic-spelling-correction-for-resource","title":"Automatic Spelling Correction for Resource-Scarce Languages using Deep Learning","date":"2018-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"ax-semantics-submission-to-the-surface","title":"AX Semantics' Submission to the Surface Realization Shared Task 2018","date":"2018-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"constructing-a-lexicon-of-english-discourse","title":"Constructing a Lexicon of English Discourse Connectives","date":"2018-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"document-level-adaptation-for-neural-machine","title":"Document-Level Adaptation for Neural Machine Translation","date":"2018-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"enhancement-of-encoder-and-attention-using","title":"Enhancement of Encoder and Attention Using Target Monolingual Corpora in Neural Machine Translation","date":"2018-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"exploiting-common-characters-in-chinese-and","title":"Exploiting Common Characters in Chinese and Japanese to Learn Cross-Lingual Word Embeddings via Matrix Factorization","date":"2018-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"exploring-semantic-properties-of-sentence","title":"Exploring Semantic Properties of Sentence Embeddings","date":"2018-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"fine-grained-discourse-structures-in","title":"Fine-Grained Discourse Structures in Continuation Semantics","date":"2018-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"forest-based-neural-machine-translation","title":"Forest-Based Neural Machine Translation","date":"2018-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"hierarchical-convolutional-attention-networks","title":"Hierarchical Convolutional Attention Networks for Text Classification","date":"2018-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"illustrative-language-understanding-large","title":"Illustrative Language Understanding: Large-Scale Visual Grounding with Image Search","date":"2018-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-beam-search-by-removing-monotonic","title":"Improving Beam Search by Removing Monotonic Constraint for Neural Machine Translation","date":"2018-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"integrating-multiple-nlp-technologies-into-an","title":"Integrating Multiple NLP Technologies into an Open-source Platform for Multilingual Media Monitoring","date":"2018-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"isomorphic-transfer-of-syntactic-structures","title":"Isomorphic Transfer of Syntactic Structures in Cross-Lingual NLP","date":"2018-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null}],"record_sha256":"af9150adaacb1158a79e271687adc52da061e74baafd50cfc896d27d119d7de1","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}