Articles

This paper focuses on exploiting different models and methods in bilingual lexicon extraction, either from parallel or comparable corpora, in specialized domains. First, a special attention is given to the use of multilingual thesauri, and different search strategies based on such thesauri are investigated. Then, a method to combine the …...

A machine translation model has been pro- posed where an input is translated through both source-language and target-language para- phrasing processes. We have implemented our prototype model for the Japanese-Chinese lan- guage pair. This paper describes our core idea of translation, where a source language para- phraser and a language …...

We describe a mechanism for the generation of lexical paraphrases of queries posed to an Inter- net resource. These paraphrases are generated us- ing WordNet and part-of-speech information to pro- pose synonyms for the content words in the queries. Statistical information, obtained from a corpus, is then used to rank …...

With the rapid growth of real world applications for NLP systems, there is a genuine demand for a general toolkit from which programmers with no linguistic knowledge can build specific NLP systems. Such a toolkit should have a parser that is general enough to be used across domains, and yet …...

A number of machine translation systems based on the learning algorithms are presented. These methods acquire translation rules from pairs of similar sentences in a bilingual text cor- pora. This means that it is difficult for the systems to acquire the translation rules from sparse data. As a result, these …...

This paper attempts to bridge the gap between FrameNet frames and inference. We describe a computational formalism that captures structural re- lationships among participants in a dynamic sce- nario. This representation is used to describe the internal structure of FrameNet frames in terms of parameters for event simulations. We apply …...

This paper proposes a multi-dimensional framework for classifying text documents. In this framework, the concept of multi- dimensional category model is introduced for representing classes. In contrast with traditional flat and hierarchical category models, the multi-dimensional category model classifies each text document in a collection using multiple predefined sets of …...

We discuss a grammar development process used to generate the trees of the wide-coverage Lexicalized Tree Adjoining Grammar (LTAG) for English of the XTAG Project. Result of the coupling of Becker’s metarules and a simple yet principled hierarchy of rule application, the approach has been successful to generate the large …...

The MT system described in this paper combines hand-built analysis and generation components with automatically learned example-based transfer patterns. Up to now, the transfer component used a traditional bilingual dictionary to seed the transfer pattern learning process and to provide fallback translations at runtime. This paper describes an improvement to …...

This paper develops a method for recognizing rela- tions and entities in sentences, while taking mutual dependencies among them into account. E.g., the kill (Johns, Oswald) relation in: “J. V. Oswald was murdered at JFK after his assassin, K. F. Johns...” depends on identifying Oswald and Johns as people, JFK …...

In order to respond correctly to a free form factual ques- tion given a large collection of texts, one needs to un- derstand the question to a level that allows determining some of the constraints the question imposes on a pos- sible answer. These constraints may include a semantic classification …...

It is commonly believed that word segmentation ac- curacy is monotonically related to retrieval perfor- mance in Chinese information retrieval. In this pa- per we show that, for Chinese, the relationship be- tween segmentation and retrieval performance is in fact nonmonotonic; that is, at around 70% word segmentation accuracy an …...

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Broad-coverage lexical resources such as WordNet are extremely useful. However, they often include many rare senses while missing domain-specific senses. We present a clustering algorithm called CBC (Cluster- ing By Committee) that automatically discovers concepts from text. It initially discovers a set of tight clusters called committees that are well …...

In this paper we report on our experiments on au- tomatic Word Sense Disambiguation using a max- imum entropy approach for both English and Chi- nese verbs. We compare the difficulty of the sense- tagging tasks in the two languages and investigate the types of contextual features that are useful …...

A standard architecture for an NLG system has been defined in (Reiter and Dale, 2000). Their work describes the modularization of an NLG system and the tasks of each module. How- ever, they do not indicate what kind of tools can be used by each module. Nevertheless, we be- lieve …...

The dictionary look-up of unknown words is partic- ularly difficult in Japanese due to the complicated writing system. We propose a system which allows learners of Japanese to look up words according to their expected, but not necessarily correct, reading. This is an improvement over previous systems which provide no …...

Systems that interact with the user via natural language are in their infancy. As these systems mature and become more complex, it would be desirable for a system developer if there were an automatic method for creating natural lan- guage generation components that can produce quality output efficiently. We conduct …...

Title generation is a complex task involving both natural language understanding and natural language synthesis. In this paper, we propose a new probabilistic model for title generation. Different from the previous statistical models for title generation, which treat title generation as a generation process that converts the ‘document representation’ of …...

This paper describes the characteristic features of dependency structures of Japanese spoken language by investigating a spoken dialogue cor- pus, and proposes a stochastic approach to de- pendency parsing. The method can robustly cope with inversion phenomena and bunsetsus which don’t have the head bunsetsu by relax- ing the syntactic …...