Articles

Two methods using comparable corpora to se- lect translation equivalents appropriate to a do- main were devised and evaluated. The first method ranks translation equivalents of a target word according to similarity of their contexts to that of the target word. The second method ranks translation equivalents according to the …...

It is necessary to find a proper arrangement of sen- tences in order to generate a well-organized sum- mary from multiple documents. In this paper we de- scribe an approach to coherent sentence ordering for summarizing newspaper articles. Since there is no guarantee that chronological ordering of extracted sentences, which …...

This paper describes the technology and an ex- periment of subcategorization acquisition for Chinese verbs. The SCF hypotheses are gener- ated by means of linguistic heuristic information and filtered via statistical methods. Evaluation on the acquisition of 20 multi-pattern verbs shows that our experiment achieved the similar precision and recall …...

We propose a detection method for or- thographic variants caused by translit- eration in a large corpus. The method employs two similarities. One is string similarity based on edit distance. The other is contextual similarity by a vec- tor space model. Experimental results show that the method performed a 0.889 …...

Machine transliteration/back-transliteration plays an important role in many multilingual speech and language applications. In this paper, a novel framework for machine transliteration/back- transliteration that allows us to carry out direct orthographical mapping (DOM) between two different languages is presented. Under this framework, a joint source-channel transliteration model, also called n-gram …...

We report on the development of a cross lan- guage information retrieval system, which translates user queries by categorizing these queries into terms listed in a controlled vo- cabulary. Unlike usual automatic text cat- egorization systems, which rely on data- intensive models induced from large train- ing data, our automatic …...

Language model based IR system proposed in recent 5 years has introduced the language model approach in the speech recognition area into the IR community and improves the performance of the IR system effectively. However, the assumption that all the indexed words are irrelative behind the method is not the …...

Temporal reference is an issue of determining how events relate to one another. Determining temporal relations relies on the combination of the information, which is explicit or implicit in a language. This paper reports a computational model for determining temporal relations in Chinese. The model takes into account the ef- …...

We built an open-source software platform in- tended to serve as a common infrastructure that can be of use in the development of new applica- tions involving the processing of Turkish. The platform incorporates a lexicon, a morphological analyzer/generator, and a DCG parser/generator that translates Turkish sentences to predicate logic …...

In this paper, we consider the automatic text summarization as a challenging task of ma- chine learning. We proposed a novel summari- zation system architecture which employs Gene Expression Programming technique as its learning mechanism. The preliminary experi- mental results have shown that our prototype system outperforms the baseline systems. …...

AbstractThis paper presents experiments for enlarging the Croatian Morphological Lexicon by applying an automatic acquisition methodology. The basic sources of information for the system are a set of morphological rules and a raw corpus. The morphological rules have been automatically derived from the existing Croatian Morphological Lexicon and we have …...

AbstractThis paper presents specifications and requirements for creation and validation of large lexica that are needed in automatic Speech Recognition (ASR), Text-to-Speech (TTS) and statistical Speech-to-Speech Translation (SST) systems. The prepared language resources are created and validated within the scope of the EU-project LC-STAR (Lexica and Corpora for Speech-to-Speech Translation …...

AbstractAn architecture is presented that provides an integrated framework for managing, archiving and accessing language resources. This architecture was discussed in the DELAMAN network – a world-wide network of archives holding material about endangered languages. Such a framework will be built upon a metadata infrastructure, a mechanism to resolve unique …...

AbstractFor many years the Istituto di Teoria e Tecniche dell'Informazione Giuridica (ITTIG) of the Consiglio Nazionale delle Ricerche has studied the evolution of legal language, creating databases for documentation and digital retrieval of law texts. The ITTIG is attending to document legal language through information technology in order to provide …...

AbstractIn this paper, we investigate whether a dataset derived from a multi-purpose corpus such as the Spoken Dutch Corpus may be considered appropriate for developing a taxonomy of wh-questions, and a model of the way in which these questions are integrated in spoken discourse. We compare the results obtained from …...

AbstractWe applied data-driven methods to carry out automatic acquisition of Dutch prepositional support verb constructions (SVCs) in corpora (e.g., iets in de gaten houden (``keep an eye on something'')). This paper addresses the question whether linguistic diagnostics help to discard noise from the nbest lists and how to (semi-)automatically apply …...

AbstractA majority of Machine Aided Translation systems are based on comparisons between a source sentence and reference sentences stored in Translation Memories (TMs). The translation search is done by looking for sentences in a database which are similar to the source sentence. TMs have two basic limitations: the dependency on …...

AbstractHighly inflectional/agglutinative languages like Hungarian typically feature possible word forms in such a magnitude that automatic methods that provide morphosyntactic annotation on the basis of some training corpus often face the problem of data sparseness. A possible solution to this problem is to apply a comprehensive morphological analyser, which is …...

AbstractThe CGN corpus (Corpus Gesproken Nederlands/Corpus Spoken Dutch) is a large speech corpus of contemporary Dutch as spoken in Belgium (3.3 million words) and in the Netherlands (5.6 million words). Due to its size, manual phonemic annotation was limited to 10% of the data and automatic systems were used to …...

AbstractAfter the successful completion of the Spoken Dutch Corpus (1998 -- 2003) the time is ripe to take some time to sit back and reflect on our achievements and the procedures underlying them in order to learn from our experiences. In this paper we will in particular pay attention to …...