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

... Ohio, USA, June 2008.c2008 Association for Computational LinguisticsRandomized Language Models via Perfect Hash FunctionsDavid Talbot∗School of InformaticsUniversity of Edinburgh2 Buccleuch ... on perfect hash functions. Thisscheme can be used to encode any standard n-grammodel which may first be processed using any con-ventional model reduction technique.3 Perfect Hash- based Language ... randomized language model is based on theBloomier filter (Chazelle et al., 2004). We encodefingerprints (random hashes) of n-grams togetherwith their associated probabilities using a perfect hash...

Báo cáo khoa học: "Enhancing Language Models in Statistical Machine Translation with Backward N-grams and Mutual Information Triggers" ppt

... 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 butat ... explore a dependency language model to improve translation quality. To some ex-tent, these syntactically-informed language models are consistent with syntax-based translation models in capturing ... integrate backward n-grams and mu-tual information (MI) triggers into language models in SMT.In conventional n-gram language models, we lookat the preceding n − 1 words when calculating theprobability...

Báo cáo khoa học: "Native Language Detection with Tree Substitution Grammars" pptx

... Substitu-tion Grammars as a source of features for na-tive language detection, the task of inferringan author’s native language from text in a dif-ferent language. We compare two state of theart methods ... and achieves a new bestresult at the task of native language detection.2 Related Work2.1 Native Language DetectionWork in automatic native language detection hasbeen mainly associated with ... and show that features from bothmethods outperform previous state of the artresults at native language detection. Further-more, we contrast these two induction algo-rithms and show that the...

... 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 nodes, while ... replacing hand-crafted grammars and rules with statistical models that are automatically learned from examples. Hidden understanding models were primarily motivated by techniques that have been...

Tài liệu Báo cáo khoa học: "Improving Word Representations via Global Context and Multiple Word Prototypes" pdf

... showing that our model outper-forms competitive baselines and other neural language models. 11 IntroductionVector-space models (VSM) represent word mean-ings with vectors that capture semantic ... inputs to learningalgorithms and as extra word features in NLPsystems. However, most of these models arebuilt with only local context and one represen-tation per word. This is problematic ... 8-14 July 2012.c2012 Association for Computational LinguisticsImproving Word Representations via Global Contextand Multiple Word PrototypesEric H. Huang, Richard Socher∗, Christopher D....

Tài liệu Báo cáo khoa học: "Dependency Grammar Induction via Bitext Projection Constraints" doc

... between many resource-poor languagesand resource-rich languages are ample, motivat-ing recent interest in transferring linguistic re-sources from one language to another via paralleltext. For ... other languages,there are large, well-annotated corpora with a vari-ety of linguistic information ranging from namedentity to discourse structure. Unfortunately, forthe vast majority of languages ... across languages and linguistic theo-ries (e.g., how to analyze auxiliary verbs, conjunc-tions).In this paper, we present a ﬂexible learning369framework for transferring dependency grammarsvia...

Tài liệu Báo cáo khoa học: "Source-Language Entailment Modeling for Translating Unknown Terms" ppt

... to accomplish byemploying source -language resources is to rankthe alternative generated texts. This goal can beachieved by using context -models on the source language prior to translation. This ... corpus.Target -language scores On the target side weused either a standard 3-gram language- model, de-noted LMT, or the score assigned by the com-plete SMT log-linear model, which includes the language ... ambiguitywere resolved by the applied context -models, andcan be further addressed, together with the abovementioned problems, with better source -language context models. We suggest that other types of...

Tài liệu Báo cáo khoa học: "Distributional Similarity Models: Clustering Neighbors" doc

... accuracy for cluster-based and nearest neighbors distributional models of unseen events. 1 Introduction In many statistical language- processing problems, 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 relationships ... are working with two models which, while representing opposite extremes in terms of generalization, share enough features to make the comparison meaningful. First, both models use linear combinations...

Tài liệu Báo cáo khoa học: "RAISINS, CLASSIFICATION CURRANTS: VIA LEXICAL CONTEXT PRIMING ABSTRACTION" pptx

... 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 search space is reduced dramatically. One method of accomplishing this pruning is via context priming. In context priming, we view a context as the seed upon which to build a network...

Tài liệu Báo cáo khoa học: "NATURAL LANGUAGE INTERACTION WITH MACHINES" doc

... 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 machines is chaC no ... believe that tree searches will be "unnatural" for many users and some other mere-natural language will be ueeded to search and access these data-base sysCeme. One conclusion is Chac...

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