Zobrazeno 1 - 10
of 422
pro vyhledávání: '"Word Alignment"'
Autor:
Zhang Min
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
This research establishes a phrase-based statistical machine translation platform composed of multiple functional modules, including data preprocessing, word alignment, translation model training, ordering model training, language model training, dec
Externí odkaz:
https://doaj.org/article/12579510f06f43dda5e04425099692ab
Autor:
Gu Xiaoying
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
Under the background of Internet+, for the problems of high comprehension difficulty and inaccurate translation in university English translation teaching, this paper proposes the skeleton knowledge translation model to assist university English tran
Externí odkaz:
https://doaj.org/article/3ff7e011e31c45f4846c78598a4bd14f
Autor:
Mo Wanni, Gong Jufang
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
In this paper, the support vector machine is used as the overall classification of the paragraph alignment method. The paragraph length relationship is taken as an essential feature of the business English paragraph alignment model, the CRFs discrimi
Externí odkaz:
https://doaj.org/article/413cc7b6c71a4107b7d76d799b8696a2
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
This study focuses on applying intelligent translation systems in assisting high-quality English writing in the Internet era. The study analyzes statistical machine translation techniques, especially N-gram language modeling and word alignment techni
Externí odkaz:
https://doaj.org/article/23fbc96c9bb94eeabd5519d415720981
Autor:
Dag Haug, Nilo Pedrazzini
Publikováno v:
Frontiers in Communication, Vol 8 (2023)
In this paper, we explore the semantic map of the English temporal connective when and its parallels in more than 1,000 languages drawn from a parallel corpus of New Testament translations. We show that there is robust evidence for a cross-linguistic
Externí odkaz:
https://doaj.org/article/3ebd449be2b24326a7d15fa05abe3810
Autor:
Arun Babhulgaonkar, Shefali Sonavane
Publikováno v:
Vietnam Journal of Computer Science, Vol 09, Iss 02, Pp 135-162 (2022)
Hindi is the national language of India. However, most of the Government records, resolutions, news, etc. are documented in English which remote villagers may not understand. This fact motivates to develop an automatic language translation system fro
Externí odkaz:
https://doaj.org/article/1674ed453d9644a7919c299252328a5d
Publikováno v:
IEEE Access, Vol 10, Pp 67047-67057 (2022)
Automatic post-editing (APE) research aims to investigate methods for correcting systematic errors in machine translation (MT) results. Recent work has shown successful practices of APE for improving MT output quality; however, their effectiveness st
Externí odkaz:
https://doaj.org/article/d3aa976647d244318ee09e7d62e1c12c
Publikováno v:
Frontiers in Artificial Intelligence, Vol 5 (2022)
This work describes the development of a list of monolingual word alignments taken from parallel Russian simplification data. This word lists can be used in such lexical simplification tasks as rule-based simplification applications and lexically con
Externí odkaz:
https://doaj.org/article/2ecb2bf7e9984b6d91dce6e085589a55
Autor:
Tudor Bumbu
Publikováno v:
Computer Science Journal of Moldova, Vol 28, Iss 3(84), Pp 241-248 (2020)
This paper presents the description of some tools and resources for aligning diachronic parallel texts. We try to emphasize the idea of improving the lexicographical similarity between words and expressions used in old and modern texts, using a speci
Externí odkaz:
https://doaj.org/article/b15b8335452f4a3494ee902847349540
Publikováno v:
智能科学与技术学报, Vol 2, Pp 26-35 (2020)
Previous approaches generally use context information to improve the word representation but ignore the importance of context similarity in aligning tokens.Furthermore,most of them uniformly weight various local decisions during aggregation for the g
Externí odkaz:
https://doaj.org/article/239557aab29a405499c92b41cb51bdd2