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COLING
1992
14 years 10 months ago
Cooperation between Transfer and Analysis in Example-Based Framework
Transfer-Driven Machine Translation (TDMT) is presented as a method which drives the translation processes according to the nature of the input. In TDMT, transfer knowledge is the...
Osamu Furuse, Hitoshi Iida
COLING
2002
14 years 9 months ago
Study of Practical Effectiveness for Machine Translation Using Recursive Chain-link-type Learning
A number of machine translation systems based on the learning algorithms are presented. These methods acquire translation rules from pairs of similar sentences in a bilingual text...
Hiroshi Echizen-ya, Kenji Araki, Yoshio Momouchi, ...
EMNLP
2010
14 years 7 months ago
Minimum Error Rate Training by Sampling the Translation Lattice
Minimum Error Rate Training is the algorithm for log-linear model parameter training most used in state-of-the-art Statistical Machine Translation systems. In its original formula...
Samidh Chatterjee, Nicola Cancedda
LREC
2008
89views Education» more  LREC 2008»
14 years 11 months ago
Lexical Resources for Automatic Translation of Constructed Neologisms: the Case Study of Relational Adjectives
This paper deals with the treatment of constructed neologisms in a machine translation system. It focuses on a particular issue in Romance languages: relational adjectives and the...
Bruno Cartoni
TSD
2004
Springer
15 years 3 months ago
Handling Multi-word Expressions Without Explicit Linguistic Rules in an MT System
Abstract. Translation of Multi-word expressions (MWEs) is one of the most challenging tasks of a Machine translation (MT) system. In this paper, we present an innovative technique ...
Akshar Bharati, Rajeev Sangal, Dipti Mishra, Srira...