Báo cáo khoa học: "Randomized Language Models via Perfect Hash Functions" pptx

... Ohio, USA, June 2008. c 2008 Association for Computational Linguistics Randomized Language Models via Perfect Hash Functions David Talbot ∗ School of Informatics University of Edinburgh 2 Buccleuch ... on perfect hash functions. This scheme can be used to encode any standard n-gram model which may first be processed using any con- ventional model reduction technique. 3 Perfect...

Ngày tải lên: 08/03/2014, 01:20

... or even trillions of English words, huge language models are built in a distributed man- ner (Zhang et al., 2006; Brants et al., 2007). Such language models yield better translation results but at ... explore a dependency language model to improve translation quality. To some ex- tent, these syntactically-informed language models are consistent with syntax-based translation mod...

Ngày tải lên: 07/03/2014, 22:20

... Substitu- tion Grammars as a source of features for na- tive language detection, the task of inferring an author’s native language from text in a dif- ferent language. We compare two state of the art methods ... and achieves a new best result at the task of native language detection. 2 Related Work 2.1 Native Language Detection Work in automatic native language detection has been m...

Ngày tải lên: 07/03/2014, 18:20

... and evaluate hidden understanding models, a statistical learning approach to natural language understanding. Given a string of words, hidden understanding models determine the most likely meaning ... significantly more internal structure than specialized sublanguage models. This can be seen in the example in figure 4. The specialized sublanguage representation requires only seven...

Ngày tải lên: 08/03/2014, 07:20

... showing that our model outper- forms competitive baselines and other neural language models. 1 1 Introduction Vector-space models (VSM) represent word mean- ings with vectors that capture semantic ... inputs to learning algorithms and as extra word features in NLP systems. However, most of these models are built with only local context and one represen- tation per word. This is proble...

Ngày tải lên: 19/02/2014, 19:20

... between many resource-poor languages and resource-rich languages are ample, motivat- ing recent interest in transferring linguistic re- sources from one language to another via parallel text. For ... other languages, there are large, well-annotated corpora with a vari- ety of linguistic information ranging from named entity to discourse structure. Unfortunately, for the vast majority of l...

Ngày tải lên: 20/02/2014, 07:20

... to accomplish by employing source -language resources is to rank the alternative generated texts. This goal can be achieved by using context -models on the source language prior to translation. This ... corpus. Target -language scores On the target side we used either a standard 3-gram language- model, de- noted LMT, or the score assigned by the com- plete SMT log-linear model, which in...

Ngày tải lên: 20/02/2014, 07:20

... accuracy for cluster-based and nearest neigh- bors distributional models of unseen events. 1 Introduction In many statistical language- processing prob- lems, it is necessary to estimate the ... may be different for other tasks. 2 Two models We now survey the distributional clustering (section 2.1) and nearest-neighbors averaging (section 2.2) models. Section 2.3 examines the...

Ngày tải lên: 20/02/2014, 18:20

... RAISINS, SULTANAS~ AND CURRANTS: LEXICAL CLASSIFICATION AND ABSTRACTION VIA CONTEXT PRIMING David J. Hutches Department of Computer Science and Engineering, Mail Code ... were sin- gle lexical items. I. Motivation and Background With respect to the processing of language, one of the tasks at which human beings seem rel- atively adept is the ability to determine ... whereby the sear...

Ngày tải lên: 20/02/2014, 21:20

... natural of the natural -language modes. ~ence, a fascination exists with machines thac respond to spoken commands with synthetic speech responses to create a natural -language interactive discourse. ... preceding examples are very restricted in terms of the language used for the interaction with machines. The problem with unrestricted natural language for cor-unicacion with machin...

Ngày tải lên: 21/02/2014, 20:20