Example Based Machine Translation

EBMT (Example-Based Machine Translation) is proposed. EBMT retrieves similar examples (pairs of source phrases, sentences, or texts and their translations) from a d~t.hase of examples, adapting the examples to translate …...

This paper i)roposes an effective parsing nicthod for examlile-based machine transhltiOl~. In this method, an input string is parsed by the tOl)-down aplflication of linguistic patterns consisting ol variables and …...

Research in example-based machine translation (F,I~MT) has been hampered by the lack of efficient tree alignment al- gorithms for bilingual corpora. *ghis pa- per <lescribes an alignment algorithm for F,I~MT …...

AbstractIn this paper, we describe an Example-Based Machine Translation (EBMT) system for English-Malay translation. Our approach is an example-based approach which relies sorely on example translations kept in a Bilingual …...

AbstractExample-Based Machine Translation can be applied to languages whose resources like dictionaries, reliable syntactic analyzers are hardly available because it can learn from new translation examples. However, difficulties still remain …...

AbstractThis paper describes an example-based machine translation (EBMT) system which relays on various knowledge resources. Morphologic analyses abstract the surface forms of the languages to be translated. A shallow syntactic …...

AbstractThe paper reports on experiments which compare the translation outcome of three corpus-based MT systems, a string-based translation memory (STM), a lexeme-based translation memory (LTM) and the example-based machine translation …...

AbstractPre-processing of bilingual corpora plays an important role in Example-Based Machine Translation (EBMT) and Statistical-Based Machine Translation (SBMT). For our Mandarin-English EBMT system, pre-processing includes segmentation for Mandarin, bracketing for …...

Signs are everywhere in our lives. They make our lives easier when we are familiar with them. But sometimes they also pose problems. For example, a tourist might not be …...

. The first research on integrating controlled language data in an Example-Based Machine Translation (EBMT) system was published in [Gough & Way, 2003]. We improve on their sub-sentential alignment algorithm …...

This paper presents example-based machine translation (MT) based on syntactic trans- fer, which selects the best translation by us- ing models of statistical machine translation. Example-based MT sometimes generates in- …...

We are conducting Example-Based Machine Translation re- search aiming at the improvement both of structural NLP and machine translation. This paper describes UTokyo system challenged IWSLT05 Japanese-English translation tasks. 1....

. Since subsentential alignment is critically important to the translation quality of an Example-Based Machine Translation (EBMT) system which operates by finding and combining phrase-level matches against the training examples, …...

. The paper gives an overview of the evaluation methods of memory-based translation systems: Translation Memories (TM) and Example Based Machine Translation (EBMT) systems. After a short comparison with the …...

. In this paper we are introducing a modified Dijkstra’s shortest path algorithm used to detect the target language phrases. We list the indexes of the source sentence’s words which …...

Example-Based Machine Translation (EBMT), like other corpus based methods, requires substantial parallel training data. One way to reduce data requirements and improve translation quality is to generalize parts of the …...

This paper describes the transfer compo- nent of a syntax-based Example-based Ma- chine Translation system. The source sen- tence parse tree is matched in a bottom-up fashion with the source …...

. Five years ago, a number of papers reported an experimental implementation of an Example Based Machine Translation (EBMT) system using proportional analogy. This approach, a type of analogical learning, …...

. Analogy has been proposed as a possible principle for example-based machine translation. For such a framework to work properly, the training data should contain a large number of analogies …...

In this paper, we address the issue of ap- plying example-based machine transla- tion (EBMT) methods to overcome some of the difficulties encountered with stat- istical machine translation (SMT) tech- …...

AbstractThis paper is a partial report of an on-going Kakenhi project which aims to improve sub-sentential alignment and release multilingual syntactic patterns for statistical and example-based machine translation. Here we …...

This paper describes an Example-Based Ma- chine Translation prototype and presents an evaluation of the impact of using a domain- specific vocabulary on its performance. This prototype is based on …...

This paper presents a hybrid machine translation framework based on a pre- processor that translates fragments of the input text by using example-based ma- chine translation techniques. The pre- processor …...

AbstractWe describe in this paper a hybrid ap-proach to build automatically bilingual lexicons of Multiword Expressions (MWEs) from parallel corpora. We more specifically investigate the impact of using a domain-specific …...