Articles

Previous results have shown disappointing performance when porting a parser trained on one domain to another domain where only a small amount of data is available. We propose the use of data-defined ker- nels as a way to exploit statistics from a source domain while still specializing a parser to …...

In this presentation, I will look back at 10 years of CoNLL conferences and the state of the art of machine learning of lan- guage that is evident from this decade of research. My conclusion, intended to pro- voke discussion, will be that we currently lack a clear motivation or …...

This paper investigates an isolated setting of the lexical substitution task of replac- ing words with their synonyms. In par- ticular, we examine this problem in the setting of subtitle generation and evaluate state of the art scoring methods that pre- dict the validity of a given substitution. The paper …...

Developing better methods for segment- ing continuous text into words is impor- tant for improving the processing of Asian languages, and may shed light on how hu- mans learn to segment speech. We pro- pose two new Bayesian word segmenta- tion methods that assume unigram and bi- gram models of …...

Morphological disambiguation is the pro- cess of assigning one set of morphologi- cal features to each individual word in a text. When the word is ambiguous (there are several possible analyses for the word), a disambiguation procedure based on the word context must be applied. This paper deals with morphological …...

This paper proposes methods for extracting loanwords from Cyrillic Mongolian corpora and producing a Japanese–Mongolian bilingual dictionary. We extract loanwords from Mongolian corpora using our own handcrafted rules. To complement the rule-based extraction, we also extract words in Mongolian corpora that are phonetically similar to Japanese Katakana words as loanwords. …...

Word alignment using recency-vector based approach has recently become pop- ular. One major advantage of these tech- niques is that unlike other approaches they perform well even if the size of the par- allel corpora is small. This makes these algorithms worth-studying for languages where resources are scarce. In this …...

Due to the historical and cultural reasons, English phases, especially the proper nouns and new words, frequently appear in Web pages written primarily in Asian languages such as Chinese and Korean. Although these English terms and their equivalences in the Asian languages refer to the same concept, they are erroneously …...

We approach the zero-anaphora resolu- tion problem by decomposing it into intra-sentential and inter-sentential zero- anaphora resolution. For the former prob- lem, syntactic patterns of the appearance of zero-pronouns and their antecedents are useful clues. Taking Japanese as a target language, we empirically demonstrate that incorporating rich syntactic pattern fea- …...

This paper proposes a named entity recog- nition (NER) method for speech recogni- tion results that uses confidence on auto- matic speech recognition (ASR) as a fea- ture. The ASR confidence feature indi- cates whether each word has been cor- rectly recognized. The NER model is trained using ASR results …...

We present a novel translation model based on tree-to-string alignment template (TAT) which describes the alignment be- tween a source parse tree and a target string. A TAT is capable of generating both terminals and non-terminals and per- forming reordering at both low and high levels. The model is linguistically …...

The trend in information retrieval sys- tems is from document to sub-document retrieval, such as sentences in a summari- zation system and words or phrases in question-answering system. Despite this trend, systems continue to model lan- guage at a document level using the in- verse document frequency (IDF). In this …...

This paper explores the relationship be- tween the translation quality and the re- trieval effectiveness in Machine Transla- tion (MT) based Cross-Language Infor- mation Retrieval (CLIR). To obtain MT systems of different translation quality, we degrade a rule-based MT system by decreasing the size of the rule base and the …...

General information retrieval systems are designed to serve all users without con- sidering individual needs. In this paper, we propose a novel approach to person- alized search. It can, in a unified way, exploit and utilize implicit feedback in- formation, such as query logs and imme- diately viewed documents. Moreover, …...

An automatic word spacing is one of the important tasks in Korean language pro- cessing and information retrieval. Since there are a number of confusing cases in word spacing of Korean, there are some mistakes in many texts including news ar- ticles. This paper presents a high-accurate method for automatic …...

We first show how a structural locality bias can improve the accuracy of state-of-the-art dependency grammar induction models trained by EM from unannotated examples (Klein and Manning, 2004). Next, by annealing the free parame- ter that controls this bias, we achieve further improvements. We then describe an alternative kind of …...

Recent developments in statistical modeling of various linguistic phenomena have shown that additional features give consistent per- formance improvements. Quite often, im- provements are limited by the number of fea- tures a system is able to explore. This paper describes a novel progressive training algo- rithm that selects features from …...

Cross-language Text Categorization is the task of assigning semantic classes to docu- ments written in a target language (e.g. En- glish) while the system is trained using la- beled documents in a source language (e.g. Italian). In this work we present many solutions ac- cording to the availability of bilingual …...

Words and character-bigrams are both used as features in Chinese text process- ing tasks, but no systematic comparison or analysis of their values as features for Chinese text categorization has been re- ported heretofore. We carry out here a full performance comparison between them by experiments on various docu- ment …...

This paper presents a study on if and how automatically extracted keywords can be used to improve text categorization. In summary we show that a higher perfor- mance — as measured by micro-averaged F-measure on a standard text categoriza- tion collection — is achieved when the full-text representation is combined …...