Articles

The mapping between syntactic structure and prosodic structure is a widely discussed topic in linguistics. In this work we use insights gained from research on syntax-to-prosody mapping in or- der to develop a computational model which assigns prosodic structure to unrestricted text. The result- ing structure is intended to help …...

This paper presents a method to implicitly resolve ambiguities using dynamic incremental clustering in Korean-to-English cross-language information retrieval. In the framework we propose, a query in Korean is first translated into English by looking up Korean-English dictionary, then documents are retrieved based on the vector space retrieval for the translated …...

For multi-document summarization where docu- ments are collected over an extended period of time, the subject in a document changes over time. This paper focuses on subject shift and presents a method for extracting key paragraphs from documents that discuss the same event. Our extraction method uses the results of …...

Syllable-to-word (STW) conversion is important in Chinese phonetic input methods and speech recognition. There are two major problems in the STW conversion: (1) resolving the ambigu- ity caused by homonyms; (2) determining the word segmentation. This paper describes a noun-verb event-frame (NVEF) word identifier that can be used to solve …...

In this paper we propose an integrated knowledge management system in which terminology-based knowledge acquisition, knowledge integration, and XML-based knowledge retrieval are combined using tag information and ontology management tools. The main objective of the system is to facilitate knowledge acquisition through query answering against XML-based documents in the domain …...

Ambiguity is the fundamental property of natural language. Perhaps, the most bur- densome case of ambiguity manifests itself on the syntactic level of analysis. In order to face up to the high number of obtained derivation trees, this paper describes several techniques for evaluation of the figures of merit, which …...

This paper proposes a method to analyze Japanese anaphora, in which zero pronouns (omitted obligatory cases) are used to refer to preceding entities (antecedents). Unlike the case of general coreference resolution, zero pro- nouns have to be detected prior to resolution because they are not expressed in discourse. Our method …...

We present a novel disambiguation method for unification-based grammars (UBGs). In contrast to other methods, our approach obviates the need for probability models on the UBG side in that it shifts the responsibil- ity to simpler context-free models, indirectly obtained from the UBG. Our approach has three advantages: (i) training …...

This paper proposes a new approach for text categorization, based on a feature projection technique. In our approach, training data are represented as the projections of training documents on each feature. The voting for a classification is processed on the basis of individual feature projections. The final classification of test …...

Chinese NE (Named Entity) recognition is a difficult problem because of the uncertainty in word segmentation and flexibility in language structure. This paper proposes the use of a rationality model in a multi-agent framework to tackle this problem. We employ a greedy strategy and use the NE rationality model to …...

We present a comparative evaluation of two data-driven models used in translation selec- tion of English-Korean machine translation. La- tent semantic analysis(LSA) and probabilistic latent semantic analysis (PLSA) are applied for the purpose of implementation of data-driven models in particular. These models are able to represent complex semantic structures of …...

Information extraction (IE) systems are costly to build because they require development texts, pars- ing tools, and specialized dictionaries for each ap- plication domain and each natural language that needs to be processed. We present a novel method for rapidly creating IE systems for new lan- guages by exploiting existing …...

This paper investigates methods to automatically infer structural information from large XML doc- uments. Using XML as a reference format, we ap- proach the schema generation problem by applica- tion of inductive inference theory. In doing so, we re- view and extend results relating to the search spaces of grammatical …...

Unification grammars are known to be Turing- equivalent; given a grammar � and a word � , it is undecidable whether ���� �� . In order to ensure decidability, several constraints on grammars, com- monly known as off-line parsability (OLP) were suggested. The recognition problem is decidable for grammars which …...

We describe a method for generating sentences from “keywords” or “headwords”. This method consists of two main parts, candidate-text con- struction and evaluation. The construction part generates text sentences in the form of depen- dency trees by using complementary informa- tion to replace information that is missing be- cause of …...

This paper presents a method that measures the similarity between compound nouns in different languages to locate translation equivalents from corpora. The method uses information from un- related corpora in different languages that do not have to be parallel. This means that many corpora can be used. The method compares …...

Text representation is a central task for any ap- proach to automatic learning from texts. It re- quires a format which allows to interrelate texts even if they do not share content words, but deal with similar topics. Furthermore, measur- ing text similarities raises the question of how to organize …...

In this paper, we present a rich semantic network based on a differential analysis. We then detail implemented measures that take into account common and differential features between words. In a last section, we describe some industrial applications. 1...

For meaning representations in NLP, we focus our attention on thematic aspects and concep- tual vectors. The learning strategy of concep- tual vectors relies on a morphosyntaxic analy- sis of human usage dictionary definitions linked to vector propagation. This analysis currently doesn’t take into account negation phenomena. This work aims …...

To help developing a localization oriented EBMT system, an automatic machine translation evaluation method is implemented which adopts edit distance, cosine correlation and Dice coefficient as criteria. Experiment shows that the evaluation method distinguishes well between “good” translations and “bad” ones. To prove that the method is consistent with human …...