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We present a technique for automatic induction of slot annotations for subcategorization frames, based on induction of hidden classes in the EM framework of statistical estimation. The models are empirically …...

This paper presents a method that as- sists in maintaining a rule-based named-entity recognition and classifi- cation system. The underlying idea is to use a separate system, constructed with the …...

The paper describes a particular approach to multi- engine machine translation (MEMT), where we make use of voted language models to selectively combine translation outputs from multiple off-the- shelf MT …...

Data-driven techniques have been used for many computational linguistics tasks. Models derived from data are generally more robust than hand-crafted systems since they better reflect the distribution of the phenomena …...

This paper explores the challenge of scaling up language processing algorithms to increas- ingly large datasets. While cluster comput- ing has been available in commercial environ- ments for several years, …...

. For many linguistic investigations, the first step is to find examples. In the 21st century, they should all be found, not invented. Thus linguists need flexible tools for finding …...

A distributed system is described that re- liably mines parallel text from large cor- pora. The approach can be regarded as cross-language near-duplicate detec- tion, enabled by an initial, low-quality …...

AbstractThe national language of the Grand-Duchy of Luxembourg, Luxembourgish, has often been characterized as one of Europe's under-described and under-resourced languages. Because of a limited written production of Luxembourgish, poorly …...

The syntactic ambiguity of a transitive verb (Vt) followed by a noun (N) has long been a problem in Chinese parsing. In this paper, we propose a classifier to resolve …...

AbstractWe present the components of a processing chain for the creation, visualization, and validation of lexical resources (formed of terms and relations between terms). The core of the chain is …...

AbstractWe propose a new approach to PoS tagging where in a first step, we assign a coarse-grained tag corresponding to the main syntactic category. Based on this high-precision decision, in …...

Embedding words in a vector space has gained a lot of attention in recent years. While state- of-the-art methods provide efficient computa- tion of word similarities via a low-dimensional matrix …...

AbstractReinforcement learning (RL) has made remarkable progress in neural machine translation (NMT). However, it exists the problems with uneven sampling distribution, sparse rewards and high variance in training phase. Therefore, …...