Articles

The Microsoft Research translation system is a syntactically informed phrasal SMT system that uses a phrase translation model based on dependency treelets and a global reordering model based on the source dependency tree. These models are combined with several other knowledge sources in a log- linear manner. The weights of …...

ISI entered two statistical machine translation systems in the IWSLT evaluation this year: one was phrase-based and the other syntax-based. The syntax-based system represents the results of a current research effort, while the phrase-based system is representative of the current techniques in state-of- the-art machine translation. This paper primarily describes …...

Our participation in the IWSLT 2005 speech translation task is our first effort to work on limited domain speech data. We adapted our statistical machine trans- lation system that performed successfully in previous DARPA competitions on open domain text translations. We participated in the supplied corpora transcription track. We achieved …...

In this paper we describe the CMU statistical machine translation system used in the IWSLT 2005 evaluation campaign. This system is based on phrase-to-phrase translations extracted from a bilingual corpus. We ex- perimented with two different phrase extraction methods; PESA on-the-fly phrase extraction and alignment free ex- traction method. The …...

This paper describes ATR’s hybrid approach to spoken lan- guage translation and it’s application to the IWSLT 2005 translation task. Multiple corpus-based translation engines are used to translate the same input, whereby the best trans- lation among the element MT outputs is selected according to statistical models. The evaluation results …...

We designed, implemented and assessed ALEPH, a pure example-based machine translation system. It strictly does not make any use of variables, templates or training, does not have any explicit transfer component, and does not require any preprocessing of the aligned examples. It relies on a specific operation: the reso- lution …...

This paper describes our recent work on integrating speech recognition and machine translation for improving speech translation performance. Two approaches are applied and their performance are evaluated in the workshop of IWSLT 2005. The first is direct N-best hypothesis translation, and the second, a pseudo-lattice decoding algorithm for translating word …...

Statistical machine translation relies heavily on the available training data. In some cases it is necessary to limit the amount of training data that can be created for or actually used by the systems. We introduce weighting schemes which allow us to sort sentences based on the frequency of unseen …...

AbstractMANOS (Multilingual Application Network for Olympic Services) project. aims to provide intelligent multilingual information services in 2008 Olympic Games. By narrowing down the general language technology, this paper gives an overview of our new work on Phrase-Based Statistical Machine Translation (PBT) under the framework of the MANOS. Starting with the …...

AbstractSince 1994, China’s HTRDP machine translation evaluation has been conducted for five times. Systems of various translation directions between Chinese, English, Japanese and French have been tested. Both human evaluation and automatic evaluation are conducted in HTRDP evaluation. In recent years, the evaluation was organized jointly with NICT of Japan. …...

AbstractThis paper reports on measures to improve the quality of MT systems, by using a hybrid system architecture which adds corpus-based and statistical components to an existing rule-based system backbone. The focus is on improving the accuracy of the dictionary resources....

AbstractIn the last decade, the statistical approach has found widespread use in machine translation both for written and spoken language and has had a major impact on the translation accuracy. This paper will cover the principles of statistical machine translation and summarize the progress made so far....

AbstractAccurate and timely information on global public health issues is key to being able to quickly assess and respond to emerging health risks around the world. The Public Health Agency of Canada has developed the Global Public Health Intelligence Network (GPHIN). Information from GPHIN is provided to the WHO, international …...

AbstractThis paper introduces the Multilingual Information Service System being implemented for the Beijing Olympics. Multilingual machine translation is an important component in this system. This real world application asks for advanced as well as mature and proven technologies, where MT is challenged. However, by appropriately choosing domain and scenario, current …...

. This paper presents a method for acquiring synonyms from monolingual comparable text (MCT). MCT denotes a set of monolin- gual texts whose contents are similar and can be obtained automatically. Our acquisition method takes advantage of a characteristic of MCT that included words and their relations are confined. Our …...

. This paper presents our recent work on period disambigua- tion, the kernel problem in sentence boundary identification, with the maximum entropy (Maxent) model. A number of experiments are con- ducted on PTB-II WSJ corpus for the investigation of how context window, feature space and lexical information such as abbreviated …...

. This paper describes a method of adapting a domain-inde- pendent HPSG parser to a biomedical domain. Without modifying the grammar and the probabilistic model of the original HPSG parser, we develop a log-linear model with additional features on a treebank of the biomedical domain. Since the treebank of the …...

. We present a PP-attachment disambiguation method based on a gigantic volume of unambiguous examples extracted from raw cor- pus. The unambiguous examples are utilized to acquire precise lexical preferences for PP-attachment disambiguation. Attachment decisions are made by a machine learning method that optimizes the use of the lexical preferences. …...

. In order to obtain a high precision and high coverage grammar, we proposed a model to measure grammar coverage and designed a PCFG parser to measure efficiency of the grammar. To generalize grammars, a grammar binari- zation method was proposed to increase the coverage of a probabilistic context- free …...

. We give a detailed account of an algorithm for efficient tactical gener- ation from underspecified logical-form semantics, using a wide-coverage gram- mar and a corpus of real-world target utterances. Some earlier claims about chart realization are critically reviewed and corrected in the light of a series of practical experiments. …...