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COLING
1992
13 years 6 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
13 years 5 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
13 years 3 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»
13 years 7 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
13 years 10 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...