Articles

We describe our participation in two of the tasks or- ganized within Senseval-3: Automatic Labeling of Semantic Roles and Identification of Logic Forms in English. 1...

The HKUST word sense disambiguation systems benefit from a new nonlinear Kernel Principal Component Analysis (KPCA) based disambigua- tion technique. We discuss and analyze results from the Senseval-3 English, Chinese, and Multi- lingual Lexical Sample data sets. Among an en- semble of four different kinds of voted models, the KPCA-based …...

Our group participated in the Basque and En- glish lexical sample tasks in Senseval-3. language-specific feature set was defined forA Basque. Four different learning algorithms were applied, and also a method that combined their outputs. Before submission, the performance of the methods was tested for each task on the Senseval-3 …...

This paper describes the Italian all-words sense disambiguation task for Senseval-3. The annotation procedure and criteria together with the encoding of multiwords are presented. 1...

This paper presents a first experience with evalu- ating sytems that address the issue of Logic Form Identification (LFi). A Gold Standard approach was used in which experts provide solutions to test data. The expert solutions, the gold standard, are then compared against outputs from participanting sys- tems and different …...

This paper presents the task definition, resources, participating systems, and comparative results for a Romanian Word Sense Disambiguation task, which was organized as part of the SENSEVAL-3 evaluation exercise. Five teams with a total of seven systems were drawn to this task. 1...

This paper presents the task definition, resources, participating systems, and comparative results for the English lexical sample task, which was orga- nized as part of the SENSEVAL-3 evaluation exer- cise. The task drew the participation of 27 teams from around the world, with a total of 47 systems. 1...

The Italian lexical sample task SENSEVAL-3 provided a framework toat evaluate supervised and semi-supervised WSD systems. This paper reports on the task preparation – which offered the op- portunity to review and refine the Italian MultiWordNet – and on the results of the six participants, focussing on both the manual …...

The SENSEVAL-3 task to perform word-sense disambiguation of WordNet glosses was designed to encourage development of technology to make use of standard lexical resources. The task was based on the availability of sense- disambiguated hand-tagged glosses created in the eXtended WordNet project. The hand-tagged glosses provided a “gold standard” for …...

The SENSEVAL-3 task to perform automatic labeling of semantic roles was designed to encourage research into and use of the FrameNet dataset. The task was based on the considerable expansion of the FrameNet data since the baseline study of automatic labeling of semantic roles by Gildea and Jurafsky. The FrameNet …...

This paper describes the English–Hindi Multilingual lexical sample task in SENSEVAL–3. Rather than tagging an English word with a sense from an En- glish dictionary, this task seeks to assign the most appropriate Hindi translation to an ambiguous tar- get word. Training data was solicited via the Open Mind Word …...

In this paper we describe the Senseval 3 Basque lexical sample task. The task comprised 40 words (15 nouns, 15 verbs and 10 adjectives) selected from the Basque WordNet. 10 of the words were chosen in coordination with other lexical-sample tasks. The examples were taken from newspapers, an in-house balanced …...

In this paper, we describe the RWTH statistical machine translation (SMT) system which is based on log-linear model combination. All knowledge sources are treated as feature functions which depend on the source language sentence, the target language sentence and possible hidden variables. The main feature of our approach are the …...

In this paper we describe the components of our statistical machine translation system used for the spoken language translation evaluation campaign. This system is based on phrase-to-phrase translations extracted from a bilingual corpus. A new phrase alignment approaches will be in- troduced, which finds the target phrase by optimizing the …...

For the translation of text and speech, statistical methods on one side and interlingua based methods on the other have been used successfully. However, the former requires programming grammars for each language, plus the design of an interlingua, while the latter requires the collection of a large parallel corpus for …...

Focus of this paper is the system for statistical machine trans- lation developed at ITC-irst. It has been employed in the evaluation campaign of the International Workshop on Spo- ken Language Translation 2004 in all the three data set condi- tions of the Chinese-English track. Both the statistical model underlying …...

This system is an experiment of examples based approach. It is based on a corpus containing 220 thousand sentence pairs with word alignment. The system contains four parts: matching and search, fragment matching, fragment assembling, evaluation and post processing. We use word alignment information to find and combine fragments. 1....

We discuss phrase-based statistical machine translation performance enhancing techniques which have proven effective for Japanese-to-English and Chinese-to- English translation of BTEC corpus. We also address some issues that arise in conversational speech translation quality evaluations. 1....

This paper describes the system we built for the Chinese to English track of the IWSLT 2004 evaluation campaign. A one month effort was devoted to this exercise, starting from scratch and making use as much as possible of freely avail- able packages. We show that a decent phrase-based transla- …...

This paper describes a Multi-Engine based Chinese-to- English spoken language translation system. The design and implementation of the system is given in detail. Three different translation engines are employed in the system and a very simple way is proposed to select the best translation from all the outputs generated by …...