Articles
Total Articles: 38870
nan
Publication: TIPSTER (1999)
DOI: nan
Paper ID: 17208
AbstractIn this paper, I present a method for the evaluation of the quality of translated text, namely, a translation ability index, which shows the relative position of the translation ability of a Machine Translation (MT) system on a measurement scale. The measurements are made by an analysis ratio which is …...
nan
Publication: TIPSTER (1999)
DOI: nan
Paper ID: 17209
AbstractWe present a rule-based, deterministic dependency parser for Japanese. It was implemented in C++, using object classes that reflect linguistic concepts and thus facilitate the transfer of linguistic intuitions into code. The parser first chunks morphemes into one-word phrases and then parses from the right to the left. The average …...
nan
Publication: TIPSTER (1999)
DOI: nan
Paper ID: 17210
AbstractThe aim of this paper is to provide a report of an experiment using a Commercial Machine Translation (CMT) software in a manufacturing company in the UK, with particular reference to Japanese / English Machine translation. It presents the main difficulties involved in the translation of industrial documents from Japanese …...
nan
Publication: TIPSTER (1999)
DOI: nan
Paper ID: 17211
AbstractBracketed corpora are a very useful resource for natural language processing, but hard to build efficiently, leading to quantitative insufficiency for practical use. Disparities in morphological information, such as word segmentation and part-of-speech tag sets, are also troublesome. An application specific to a particular corpus often cannot be applied to …...
nan
Publication: TIPSTER (1999)
DOI: nan
Paper ID: 17212
AbstractLanguage Engineering (LE) products and resources for the world’s “major” languages are steadily increasing, but there remains a major gap as regards less widely-used languages. This paper considers the current situation regarding LE resources for some of the languages in question, and some proposals for rectifying this situation are made, …...
nan
Publication: TIPSTER (1999)
DOI: nan
Paper ID: 17215
AbstractThe Translating Telephone has been a major goal of speech translation for many years. Previous approaches have attempted to work from limited-domain, fully-automatic translation towards broad-coverage, fully-automatic translation. We are approaching the problem from a different direction: starting with a broad-coverage but not fully-automatic system, and working towards full automation. …...
nan
Publication: TIPSTER (1999)
DOI: nan
Paper ID: 17216
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 in translation of sentences which are not fully covered by the matching sentence. To solve that problem, we present in …...
nan
Publication: TIPSTER (1999)
DOI: nan
Paper ID: 17217
AbstractSince the headlines of English news articles have a characteristic style, different from the styles which prevail in ordinary sentences, it is difficult for MT systems to generate high quality translations for headlines. We try to solve this problem by adding to an existing system a preediting module which rewrites …...
nan
Publication: TIPSTER (1999)
DOI: nan
Paper ID: 17218
AbstractParallel corpus are valuable resource for machine translation, multi-lingual text retrieval, language education and other applications, but for various reasons, its availability is very limited at present. Noticed that the World Word Web is a potential source to mine parallel text, researchers are making their efforts to explore the Web …...
nan
Publication: TIPSTER (1999)
DOI: nan
Paper ID: 17223
AbstractExperience-Guided Machine Translation (EGMT) seeks to represent the translators' knowledge of translation as experiences and translates by analogy. The transfer in EGMT finds the experiences most similar to a new text and its parts, segments it into units of translation and translates them by analogy to the experiences and then …...
nan
Publication: TIPSTER (1999)
DOI: nan
Paper ID: 17225
AbstractWe have developed a Japanese-to-English machine translation system for market flash reports called ALTFLASH. ALTFLASH is a hybrid translation system based on a combination of rule-based translation and template-based translation systems. The experimental results were that the system could achieve good translation for 90% of source sentences (70% of articles) …...
nan
Publication: TIPSTER (1999)
DOI: nan
Paper ID: 17228
AbstractIn this paper we describe and experimentally evaluate FromTo K/E, a rule-based Korean-English machine translation system adapting transfer methodology. In accordance with the view that a successful Korean-English machine translation system presumes a highly efficient robust Korean parser, we develop a parser reinforced with "Fail Softening", i.e. the long sentence …...
nan
Publication: TIPSTER (1999)
DOI: nan
Paper ID: 17229
AbstractIn this report we introduce ALT-J/M: a prototype Japanese-to-Malay translation system. The system is a semantic transfer based system that uses the same translation engine as ALT-J/E, a Japanese-to-English system....
nan
Publication: TIPSTER (1999)
DOI: nan
Paper ID: 17244
AbstractThe previous English-Korean MT system that have been developed in Korea have dealt with only written text as translation object. Most of them enumerated a following list of the problems that had not seemed to be easy to solve in the near future : 1) processing of non-continuous idiomatic expressions …...
nan
Publication: TIPSTER (1999)
DOI: nan
Paper ID: 17246
AbstractA statistical method for compound noun decomposition is presented. Previous studies on this problem showed some statistical information are helpful. But applying statistical information was not so systemic that performance depends heavily on the algorithm and some algorithms usually have many separated steps. In our work statistical information is collected …...
nan
Publication: TIPSTER (1999)
DOI: nan
Paper ID: 17248
AbstractIn this paper we describe a lexical disambiguation algorithm based on a statistical language model we call maximum likelihood disambiguation. The maximum likelihood method depends solely on the target language. The model was trained on a corpus of American English newspaper texts. Its performance was tested using output from a …...
nan
Publication: TIPSTER (1999)
DOI: nan
Paper ID: 17249
AbstractWe describe a method for automatically generating Lexical Transfer Rules (LTRs) from word equivalences using transfer rule templates. Templates are skeletal LTRs, unspecified for words. New LTRs are created by instantiating a template with words, provided that the words belong to the appropriate lexical categories required by the template. We …...
nan
Publication: TIPSTER (1999)
DOI: nan
Paper ID: 17251
AbstractThis paper is a study of a certain type of collocations and implication and application to acquisition of lexical selection rules in transfer-approach MT systems. Collocations reveal the co-occurrence possibilities of linguistic units in one language, which often require lexical selection rules to enhance the natural flow and clarity of …...
nan
Publication: TIPSTER (1999)
DOI: nan
Paper ID: 17252
AbstractThe Computing Research Laboratory is currently developing technologies that allow rapid deployment of automatic translation capabilities. These technologies are designed to handle low-density languages for which resources, be that human informants or data in electronically readable form, are scarce. All tools are built in an incremental fashion, such that some …...
nan
Publication: TIPSTER (1999)
DOI: nan
Paper ID: 17253
AbstractThis paper proposes a method for lexical transfer ambiguity resolution using corpus and conceptual information. Previous researches have restricted the use of linguistic knowledge to the lexical level. Since the extracted knowledge is stored in words themselves, these methods require a large amount of space with a low recall rate. …...