Khmer-Braille Dataset for Machine Translation
P Veng, K Yann, R Ly - Proceedings of the 6th ACM International …, 2024 - dl.acm.org
As a low-resource language, developing a machine translation system for Khmer,
particularly Khmer Braille for people with visual impairments, is a crucial task in Cambodia …
particularly Khmer Braille for people with visual impairments, is a crucial task in Cambodia …
Statistical Versus Neural Machine Translations for Khmer Braille
K Yann, P Veng, Y Kyaw Thu, R Ly - Conference on Information …, 2024 - Springer
For individuals with visual impairments, reading Braille text is crucial for acquiring
information. However, the scarcity of available text in the Khmer Braille script presents a …
information. However, the scarcity of available text in the Khmer Braille script presents a …
Experiences with the take-back of white and brown goods in the Netherlands
A Stevels - … on Environmentally Conscious Design and Inverse …, 2001 - ieeexplore.ieee.org
A take-back and recycling system of white and brown goods is in operation in the
Netherlands as of 01/01/99. It is a collective system financed by a visible fee. The collection …
Netherlands as of 01/01/99. It is a collective system financed by a visible fee. The collection …
Improving the quality of word alignment by integrating pearson's chi-square test information
Previous researches mainly focus on the approaches which are essentially inspirited from
the log-linear model background in machine learning or other adaptations. However, not a …
the log-linear model background in machine learning or other adaptations. However, not a …
Syntactic pattern based Word Alignment for Statistical Machine Translation
LE Quang-Hung, LE Anh-Cuong - International Journal of Knowledge …, 2014 - igi-global.com
Word alignment is the task of aligning bilingual words in a corpus of parallel sentences, and
determining the probabilities for these aligned bilingual word pairs. It is the most important …
determining the probabilities for these aligned bilingual word pairs. It is the most important …
An efficient framework for extracting parallel sentences from non-parallel corpora
Automatically building a large bilingual corpus that contains millions of words is always a
challenging task. In particular in case of low-resource languages, it is difficult to find an …
challenging task. In particular in case of low-resource languages, it is difficult to find an …
Refining lexical translation training scheme for improving the quality of statistical phrase-based translation
Under word-based alignment, frequent words with consistent translations can be aligned at
a high rate of precision. However, the words that are less frequent or exhibit diverse …
a high rate of precision. However, the words that are less frequent or exhibit diverse …
Integrating Word Embeddings into IBM Word Alignment Models
Word alignment models are used to generate word-aligned parallel text which is used in
statistical machine translation systems. Currently, the most popular word alignment models …
statistical machine translation systems. Currently, the most popular word alignment models …