Recent advances in Apertium, a free/open-source rule-based machine translation platform for low-resource languages
This paper presents an overview of Apertium, a free and open-source rule-based machine
translation platform. Translation in Apertium happens through a pipeline of modular tools …
translation platform. Translation in Apertium happens through a pipeline of modular tools …
KazParC: Kazakh Parallel Corpus for Machine Translation
We introduce KazParC, a parallel corpus designed for machine translation across Kazakh,
English, Russian, and Turkish. The first and largest publicly available corpus of its kind …
English, Russian, and Turkish. The first and largest publicly available corpus of its kind …
Unsupervised Weighting of Transfer Rules in Rule-Based Machine Translation using Maximum-Entropy Approach.
In this paper we present an unsupervised method for learning a model to distinguish
between ambiguous se-lection of structural transfer rules in a rule-based machine …
between ambiguous se-lection of structural transfer rules in a rule-based machine …
Resolució anafòrica en traducció automàtica: el cas de l'espanyol i el català
S Alvarez-Vidal - Linguamática, 2024 - linguamatica.com
En l'última dècada, la traducció automàtica (TA) ha augmentat la seva presència no només
en el sector de la traducció sinó també en el conjunt de la societat, en part pels bons …
en el sector de la traducció sinó també en el conjunt de la societat, en part pels bons …
Evaluación de la calidad de la traducción automática de reseñas turísticas en línea desde la perspectiva de la localización
MC Rosa Sorlozano - 2024 - riunet.upv.es
[ES] Los usuarios de internet han pasado a ser contribuidores activos en la Web 2.0.
Estudios recientes revelan que siete de cada 10 usuarios de internet en todo el mundo …
Estudios recientes revelan que siete de cada 10 usuarios de internet en todo el mundo …
Post-editing effort and linguistically motivated evaluation of machine translation
S Álvarez Vidal - 2021 - tdx.cat
The recent improvements in neural MT (NMT) have driven a shift from statistical MT (SMT) to
NMT, which has propelled the use of post-editing (PE) in translation workflows. However …
NMT, which has propelled the use of post-editing (PE) in translation workflows. However …
[PDF][PDF] Negation Learning in Transformer-based Neural Machine Translation Models⇤
DM Trinh - 2021 - swarthmore.edu
Negation is a core component of all human natural languages. Despite this, even the best
machine translation models still struggle to deal with negation. In this thesis, we examine …
machine translation models still struggle to deal with negation. In this thesis, we examine …
Rule-weight learning for Kazakh-Turkish machine translation
SM Taha - 2020 - openaccess.altinbas.edu.tr
In rule-based machine translation systems (RBMT), transfer rules perform transformation of
source language structure into its equivalent target language structure. The grammatical …
source language structure into its equivalent target language structure. The grammatical …