Results 111 to 120 of about 325,723 (299)
Hybrid machine translation guided by a rule-based system
This paper presents a machine translation architecture which hybridizes Matxin, a rulebased system, with regular phrase-based Statistical Machine Translation. In short, the hybrid translation process is guided by the rulebased engine and, before transference, a set of partial candidate translations provided by SMT subsystems is used to enrich the ...
España Bonet, Cristina+4 more
openaire +1 more source
Maximum entropy based rule selection model for syntax-based statistical machine translation [PDF]
Qun Liu+3 more
openalex +1 more source
Improving the Performance of English-Tamil Statistical Machine Translation System using Source-Side Pre-Processing [PDF]
Machine Translation is one of the major oldest and the most active research area in Natural Language Processing. Currently, Statistical Machine Translation (SMT) dominates the Machine Translation research. Statistical Machine Translation is an approach to Machine Translation which uses models to learn translation patterns directly from data, and ...
arxiv
A Novel Digitalization Approach for Smart Materials – Ontology‐Based Access to Data and Models
In order to access heterogeneous material data and model‐based knowledge, the established ontology‐based data access (OBDA) is extended to include material models. This novel ontology‐based data and model access (OBDMA) enables the computation of new responses beyond stored data.
Jürgen Maas+15 more
wiley +1 more source
Integrity constraints enforce consistency and completeness on data. The article discusses a newly developed validator for checking integrity constraints in Shapes Constraint Language (SHACL) through reduction to SPARQL Protocol and RDF Query Language (SPARQL) queries. It can be used with systems for ontology‐based database access.
Özgür L. Özçep+5 more
wiley +1 more source
Automatic acquisition of Named Entities for Rule-Based Machine Translation
Este artículo propone enriquecer los diccionarios de traducción automática basada en reglas con nombres de entidades adquiridos automáticamente de Wikipedia. El método se aplica al sistema inglés-español de Apertium y su comportamiento se compara con el de Apertium con o sin nombres de entidades etiquetadas a mano.
Toral, Antonio, Way, Andy
openaire +2 more sources
Fast translation rule matching for syntax-based statistical machine translation [PDF]
Hui Zhang+3 more
openalex +1 more source
Experiments on Detection of Voiced Hesitations in Russian Spontaneous Speech
The development and popularity of voice-user interfaces made spontaneous speech processing an important research field. One of the main focus areas in this field is automatic speech recognition (ASR) that enables the recognition and translation of spoken
Vasilisa Verkhodanova+1 more
doaj +1 more source
This manuscript presents advances in digital transformation within materials science and engineering, emphasizing the role of the MaterialDigital Initiative. By testing and applying concepts such as ontologies, knowledge graphs, and integrated workflows, it promotes semantic interoperability and data‐driven innovation. The article reviews collaborative
Bernd Bayerlein+44 more
wiley +1 more source
A study of translation rule classification for syntax-based statistical machine translation [PDF]
Hongfei Jiang+3 more
openalex +1 more source