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Fast Retrieval Method of English Translation Corpus Based on Top-k Query Algorithm
The fast retrieval method of English translation corpus based on Top-k query algorithm is a technology to retrieve the most commonly used words in...
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Low-latency query compilation
Query compilation is a processing technique that achieves very high processing speeds but has the disadvantage of introducing additional compilation...
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Interactive SPARQL query formulation using provenance
We present in this paper a novel solution for assisting users in formulating SPARQL queries. The high-level idea is that users write “semi-formal...
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Dose multimodal machine translation can improve translation performance?
Multimodal machine translation (MMT) is a method that uses visual information to guide text translation. However, recent studies have engendered...
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Assessing the Generalization Capabilities of Neural Machine Translation Models for SPARQL Query Generation
Recent studies in the field of Neural Machine Translation for SPARQL query generation have shown rapidly rising performance. State-of-the-art models...
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Saturation-Based Boolean Conjunctive Query Answering and Rewriting for the Guarded Quantification Fragments
Query answering is an important problem in AI, database and knowledge representation. In this paper, we develop saturation-based Boolean conjunctive...
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An ontology-based approach for harmonization and cross-cohort query of Alzheimer’s disease data resources
BackgroundIn the United States, the National Alzheimer’s Coordinating Center (NACC) and the Alzheimer’s Disease Neuroimaging Initiative (ADNI) are...
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Query-Based Extractive Text Summarization Using Sense-Oriented Semantic Relatedness Measure
This paper presents a query-based extractive text summarization approach by using sense-oriented semantic relatedness measure. To find the query...
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Automatic Query Generation Based on Adaptive Naked Mole-Rate Algorithm
In the growing information retrieval (IR) world, selecting suitable keywords and generating queries is important for effective retrieval. Modern...
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Speech-to-SQL: toward speech-driven SQL query generation from natural language question
Speech-based inputs have been gaining significant momentum with the popularity of smartphones and tablets in our daily lives, since voice is the most...
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Query-based denormalization using hypergraph (QBDNH): a schema transformation model for migrating relational to NoSQL databases
With the emergence of NoSQL databases, many large applications have migrated from relational databases (RDB) due to their superior flexibility and...
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BAS-ALSTM: analyzing the efficiency of artificial intelligence-based English translation system
The progression of education reform causes the maximization of the English language’s importance in the learning process. The students require...
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Riboformer: a deep learning framework for predicting context-dependent translation dynamics
Translation elongation is essential for maintaining cellular proteostasis, and alterations in the translational landscape are associated with a range...
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An SQL query generator for cross-domain human language based questions based on NLP model
The amount of data generated in the modern world is so great that data lakes are now being used to store data. However, relational databases are...
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S3QLRDF: distributed SPARQL query processing using Apache Spark—a comparative performance study
The proliferation of semantic data in the form of Resource Description Framework (RDF) triples demands an efficient, scalable, and distributed...
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Neural machine translation for limited resources English-Nyishi pair
Neural machine translation handles sequential data over the variable length of input and output sentences and accomplishes a state-of-the-art method...
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Neural Machine Translation with Diversity-Enabled Translation Memory
Neural machine translation (NMT) using translation memory (TM) has been introduced as an emergent technique for improving machine translation systems...
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A discovery system for narrative query graphs: entity-interaction-aware document retrieval
Finding relevant publications in the scientific domain can be quite tedious: Accessing large-scale document collections often means to formulate an...
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Neural machine translation from text to sign language
The paper describes an ongoing project aimed at develo** a neural machine translation approach to translating text into sign language, with the...
