Articles

This paper proposes a method to auto- matically construct Japanese nominal case frames. The point of our method is the in- tegrated use of a dictionary and example phrases from large corpora. To examine the practical usefulness of the constructed nom- inal case frames, we also built a system of …...

This paper presents a disambiguation method in which word senses are deter- mined using a dictionary. We use a seman- tic proximity measure between words in the dictionary, taking into account the whole topology of the dictionary, seen as a graph on its entries. We have tested the method on …...

Even ambitious algorithms for the gener- ation of referring expressions that iden- tify sets of objects are restricted in terms of efficiency or in their expressive reper- toire. In this paper, we report on a system that applies a best-first searching proce- dure, enhancing both its effectiveness and the variety …...

In the development of machine learning sys- tems for identification of reference chains, hand-annotated corpora play a crucial role. This paper concerns the question of how predicative NPs should be annotated w.r.t. coreference in corpora for such systems. This question highlights the tension that sometimes appears in the development of …...

Based upon a statistically trained speech translation system, in this study, we try to combine distinctive features derived from the two modules: speech recognition and statistical machine translation, in a log- linear model. The translation hypotheses are then rescored and translation perfor- mance is improved. The standard trans- lation evaluation …...

Statistical language models using n-gram approach have been under the criticism of neglecting large-span syntactic-semantic in- formation that influences the choice of the next word in a language. One of the ap- proaches that helped recently is the use of latent semantic analysis to capture the se- mantic fabric of …...

Concepts via Directional Similarity Kyoko Kanzaki Eiko Yamamoto Hitoshi Isahara Computational Linguistics Group, National Institute of Information and Communications Technology 3-5 Hikari-dai, Seika-cho, Souraku-gun, Kyoto, Japan, {kanzaki, eiko, isahara}@nict.go.jp Qing Ma Faculty of Science and Technology Ryukoku University Seta, Otsu,520-2194, Japan qma@math.ryukoku.ac.jp Abstract The method of organization of word mean- …...

Emdros is a text database engine for linguistic analysis or annotation of text. It is applicca- ble especially in corpus linguistics for storing and retrieving linguistic analyses of text, at any linguistic level. Emdros implements the EMdF text database model and the MQL query lan- guage. In this paper, I …...

In this paper we propose a novel approach for ontology alignment and domain ontology extraction from the existing knowledge bases, WordNet and HowNet. These two knowledge bases are aligned to construct a bilingual ontology based on the co- occurrence of the words in the sentence pairs of a parallel corpus. …...

This paper presents a new open text word sense disambiguation method that combines the use of logical inferences with PageRank-style algo- rithms applied on graphs extracted from natu- ral language documents. We evaluate the ac- curacy of the proposed algorithm on several sense-annotated texts, and show that it consis- tently …...

In this paper, we present a clustering exper- iment directed at the acquisition of semantic classes for adjectives in Catalan, using only shallow distributional features. We define a broad-coverage classification for adjectives based on Ontological Semantics. We classify along two parameters (number of ar- guments and ontological kind of denotation), …...

1 The talk will describe an ongoing project (modestly named the Neural Theory of Language) that is attempting to model language behavior in a way that is both neurally plausible and computationally practical. The cornerstone of the effort is a formalism called Embodied Construction Grammar (ECG). I will describe the …...

This paper describes a project to detect dependen- cies between Japanese phrasal units called bunsetsus, and sentence boundaries in a spontaneous speech corpus. In monologues, the biggest problem with de- pendency structure analysis is that sentence bound- aries are ambiguous. In this paper, we propose two methods for improving the …...

Adequate confirmation for keywords is in- dispensable in spoken dialogue systems to eliminate misunderstandings caused by speech recognition errors. Spoken lan- guage also inherently includes out-of- domain phrases and redundant expressions such as disfluency, which do not contribute to task achievement. It is necessary to appropriately make confirmation for im- …...

This paper describes a Verb Phrase Ellipsis (VPE) detection system, built for robust- ness, accuracy and domain independence. The system is corpus-based, and uses a va- riety of machine learning techniques on free text that has been automatically parsed us- ing two different parsers. Tested on a mixed corpus comprising …...

In this paper we present KNOWA, an English/Italian word aligner, developed at ITC-irst, which relies mostly on information contained in bilingual dictionaries. The performances of KNOWA are compared with those of GIZA++, a state of the art statistics-based alignment algorithm. The two algorithms are evaluated on the EuroCor and MultiSemCor …...

This paper presents work on the task of con- structing an example base1 from a given bi- lingual corpus based on the annotation schema of Translation Corresponding Tree (TCT). Each TCT describes a translation ex- ample (a pair of bilingual sentences). It repre- sents the syntactic structure of source language …...

Data-Oriented Translation (DOT), based on Data- Oriented Parsing (DOP), is a language-independent MT engine which exploits parsed, aligned bitexts to produce very high quality translations. How- ever, data acquisition constitutes a serious bottleneck as DOT requires parsed sentences aligned at both sentential and sub-structural levels. Manual sub- structural alignment is …...

Imbalanced training sets, where one class is heavily underrepresented compared to the oth- ers, have a bad effect on the classification of rare class instances. We apply One-sided Sam- pling for the first time to a lexical acquisition task (learning verb complements from Modern Greek corpora) to remove redundant and …...

We propose a completely unsupervised method for mining parallel sentences from quasi-comparable bilingual texts which have very different sizes, and which include both in-topic and off-topic documents. We discuss and analyze different bilingual corpora with various levels of comparability. We propose that while better document matching leads to better parallel …...