Articles

. Patent machine translation is one of main target areas of current practical MT systems. Patent documents have their own peculiar description style. Especially, abstracts or claims in patent documents are characterized by their long and complex syntactic structures, which are often caused by coordination. So, syntactic analysis of patent …...

. In this paper, we present the approaches used by our NLP systems to automatically extract templates for example-based machine translation and pun generation. Our translation system is able to extract an average of 73.25% correct translation templates, resulting in a translation quality that has a low word error rate …...

. This paper presents the current situation of Filipino Sign Language in the Deaf community and milestones in sign linguistics research. It highlights key computing research, particularly in Asia as well as enumerates research attempts to date of Philippine academic institutions which have applications in sign language recognition. This paper …...

. This paper presents an unsupervised approach for dialogue act (DA) classification. We used a latent variable model to compress the dimensions of the feature vector. We introduced a paraphraser to reduce the variety of expressions and to solve the pragmatic problem for DA classification. The paraphraser seemed to work …...

. This paper addresses our system which provides an effective method to write an English paper suitable for international conferences and analyze the system’s pros and cons through the user’s data collected from operating the system for 6 months. The system consists of Korean-English paper MT module supported by user …...

. It is expensive for companies to browse daily reports. Our aim is to create a system that extracts information about problems from reports. This system operates in two steps. First, it records expressions involving troubles in a dictionary from training data. Second, it expands the dictionary to include information …...

. This paper proposes a method to automatically classify texts from different varieties of the same language. We show that similarity measure is a robust tool for studying comparable corpora of language variations. We take LDC’s Chinese Gigaword Corpus composed of three varieties of Chinese from Mainland China, Singapore, and …...

. Analysis of short message corpus is an important foundation for research of automatic short message processing technology. Based on large scale short message corpus, this paper firstly presents statistical data and performs analysis in detail on basic information of short message corpus and special language phenomena in it. The …...

. In most information systems, databases are accessed and manipulated typically through systems developed to tailor-fit the company’s needs. The usual problem in these cases is the limitation on data accessibility because the users are constrained to the forms created for the system. Another way of accessing the database is …...

. This paper addresses the issues in designing the so-called ‘Controlled Korean’ for a Korean-English MT system. Controlled Language is a sublanguage of a natural language which is supposed to improve the readability and the translatability of a text. Much effort has been made to design a controlled language for …...

. Although researches have been conducted on the polysemous nature of some Korean psych-adjectives, no consensus has been made on the criteria used for evaluating the polysemy. Furthermore, few formalizations (semantic structures) have been proposed for the polysemous phenomena. The purpose of this paper is twofold: 1) to propose new …...

. We investigate a machine learning approach to Portuguese pronoun resolution. We presently focus on so-called ‘low-cost’ learning features readily obtainable from the output of a part-of-speech tagger, and we largely bypass deep syntactic and semantic analysis. Preliminary results show significant improvement in resolution precision and recall, and are comparable …...

. An automated approach of extracting bilingual lexicon from comparable, non- parallel corpora was developed for a target language with limited linguistic resources. We combined approaches from previous researches which only concentrated on context extraction, clustering techniques, or usage of part of speech tags for defining the different senses of …...

. In this paper, we test a working hypothesis that there is a significant relationship between semantic similarity and subcategorization frames in English. This paper is under the assumption that if a group of verbs form a cluster sharing a similar meaning, they tend to share subcategorization frames. In the …...

. In this paper, we propose a simple and effective method for speech understanding. The method incorporates some speech recognizers. We use two recognizers, a large vocabulary continuous speech recognizer and a domain-specific speech recognizer. The integrated recognizer is a robust and flexible method for speech understanding. For the integration …...

. This paper presents a method for generating reviews of stories. In this work, we focus on generating sentences that include subjective expressions. First, we constructed lexicons using emotion-emerged expressions that are thought to be the origin of the emotional content. The lexicon consists of syntactic pieces that are proposed …...

. This paper describes desiderative constructions in Japanese with the main focus on ta(i) ‘want’ desideratives. In spite of the morphological one-word status, desiderative constructions have been claimed to have a complex structure at some abstract level of representation. We claim that there are two types of desideratives, and that …...

. We adopt a previously developed model of deep syntactic and semantic processing to support question answering for Bahasa Indonesia, and extend it by adding a number of axioms designed to encode useful knowledge for answering questions, thus increasing the inferential power of the QA system. We believe this approach …...

. Domain specific terms are words carrying special conceptual meanings in a sub- ject field. Automatic term recognition plays an important role in many natural language processing and knowledge engineering applications such as information retrieval and knowledge mining. This paper explores a novel approach to automatic term extraction based on …...

. Psychologists have shown that abstract words are harder to understand and often acquired later than concrete words. In this work, we study how the difficulty of automatic word sense disambiguation (WSD) might be affected by this intrinsic property of words, namely the concreteness of a word and its individual …...