Articles

This paper describes LINGUA - an architec- ture for text processing in Bulgarian. First, the pre-processing modules for tokenisation, sen- tence splitting, paragraph segmentation, part- of-speech tagging, clause chunking and noun phrase extraction are outlined. Next, the pa- per proceeds to describe in more detail the anaphora resolution module. Evaluation …...

We describe an in-depth study of using a dictionary (WordNet) and web search engines (Altavista, MSN, and Google) to boost the performance of an automated question answering system, Webclopedia, in answering definition questions. The results indicate applying dictionary and web-based answer reranking together increase the performance of Webclopedia on a …...

This paper presents a maximum entropy-based named entity recognizer (NER). It differs from pre- vious machine learning-based NERs in that it uses information from the whole document to classify each word, with just one classifier. Previous work that involves the gathering of information from the whole document often uses a …...

Meaning shifting phenomena such as metonymy have recently attracted increasing interest of researchers. Though these phenomena have been addressed by plenty of computational methods, the impacts of cardinalities of metonymically related items have been widely ignored in all of them. Motivated by this lack of analysis, we have developed a …...

In some contexts, well-formed natural language cannot be expected as input to information or communication systems. In these contexts, the use of grammar-independent input (sequences of uninflected semantic units like e.g. language- independent icons) can be an answer to the users’ needs. However, this requires that an intelligent sys- tem …...

This paper proposes a learning and extracting method of word sequence correspondences from non-aligned parallel corpora with Support Vector Machines, which have high ability of the generaliza- tion, rarely cause over-fit for training samples and can learn dependencies of features by using a kernel function. Our method uses features for …...

This study aims to improve the performance of identifying grammatical functions between an adnoun clause and a noun phrase in Korean. The key task is to determine the relation between the two constituents in terms of such functional categories as subject, object, adverbial, and appositive. The problem is mainly caused …...

I present a novel approach to the determination of recurrent sound correspondences in bilingual wordlists. The idea is to relate correspondences be- tween sounds in wordlists to translational equiva- lences between words in bitexts (bilingual corpora). My method induces models of sound correspon- dence that are similar to models developed …...

This paper presents the strategy and design of a highly efficient semiautomatic method for labelling the semantic features of common nouns, using semantic relationships between words, and based on the information extracted from an electronic monolingual dictionary. The method, that uses genus data, specific relators and synonymy information, obtains an …...

A parsing system returning analyses in the form of sets of grammatical relations can obtain high pre- cision if it hypothesises a particular relation only when it is certain that the relation is correct. We operationalise this technique—in a statistical parser using a manually-developed wide-coverage gram- mar of English—by only …...

We consider here the problem of Base Noun Phrase translation. We propose a new method to perform the task. For a given Base NP, we first search its translation candidates from the web. We next determine the possible translation(s) from among the candidates using one of the two methods that …...

A new statistical method called “bilingual chunking” for structure alignment is proposed. Different with the existing approaches which align hierarchical structures like sub-trees, our method conducts alignment on chunks. The alignment is finished through a simultaneous bilingual chunking algorithm. Using the constrains of chunk correspondence between source language (SL)1 and …...

Most current sentence alignment approaches adopt sentence length and cognate as the alignment features; and they are mostly trained and tested in the docu- ments with the same style. Since the length distribu- tion, alignment-type distribution (used by length-based approaches) and cognate frequency vary significantly across texts with different styles, …...

One of the existing difficulties of cross-language information retrieval (CLIR) and Web search is the lack of appropriate translations of new terminology and proper names. Different from conventional approaches, in our previous research we developed an approach for exploiting Web anchor texts as live bilingual corpora and reducing the existing …...

It is shown that basic language processes such as the production of free word associations and the generation of synonyms can be simulated using statistical models that analyze the distri- bution of words in large text corpora. Accord- ing to the law of association by contiguity, the acquisition of word …...

This paper considers several important issues for monolingual and multilingual link detection. The experimental results show that nouns, verbs, adjectives and compound nouns are useful to represent news stories; story expansion is helpful; topic segmentation has a little effect; and a translation model is needed to capture the differences between …...

Statistical methods for PP attachment fall into two classes according to the training material used: first, unsupervised methods trained on raw text corpora and second, supervised meth- ods trained on manually disambiguated exam- ples. Usually supervised methods win over un- supervised methods with regard to attachment accuracy. But what if …...

This paper proposes a new method for automatic acquisition of Chinese bracketing knowledge from English-Chinese sentence- aligned bilingual corpora. Bilingual sentence pairs are first aligned in syntactic structure by combining English parse trees with a statistical bilingual language model. Chinese bracketing knowledge is then extracted automatically. The preliminary experiments show …...

The paper presents a statistical approach to automatic building of translation lexicons from parallel corpora. We briefly describe the pre-processing steps, a baseline iterative method, and the actual algorithm. The evaluation for the two algorithms is presented in some detail in terms of precision, recall and processing time. We conclude …...

The objective of this work is to disambiguate transducers which have the following form: T = R ◦ D and to be able to apply the determinization algorithm described in (Mohri, 1997). Our approach to disambiguating T = R ◦ D consists first of computing the composition T and thereafter …...