Báo cáo khoa học: "A Pylonic Decision-Tree Language Model with Optimal Question Selection" potx

... A Pylonic Decision-Tree Language Model with Optimal Question Selection Adrian Corduneanu University of Toronto 73 Saint ... This paper discusses a decision-tree approach to the problem of assigning probabilities to words following a given text. In contrast with previous decision-tree language model attempts, an algorithm ... selecting nearly optimal questions is considered. The model is to be tested on a standard task, The Wall Street Journal, allow- ing a fair comparison with the well-known tri- gram model. 1 Introduction...

Báo cáo khoa học: "A Hierarchical Bayesian Language Model based on Pitman-Yor Processes" docx

... G0).3 Hierarchical Pitman-Yor Language ModelsWe describe an n-gram language model based on ahierarchical extension of the Pitman-Yor process.An n-gram language model deﬁnes probabilitiesover ... the hierarchical Pitman-Yor language model with all Gu’s marginalizedout. This gives us an alternative representation ofthe hierarchical Pitman-Yor language model thatis amenable to efﬁcient ... James, 2001; Pitman, 2002).985Our model is a direct generalization of the hierar-chical Dirichlet language model of (MacKay andPeto, 1994). Inference in our model is howevernot as straightforward...

Báo cáo khoa học: "Improving Statistical Natural Language Translation with Categories and Rules" potx

... that we finally need a language model p(ejle~-l), a translation model p(ej Id, Z) and a probability p(ejlEj). For p(ejle~ -1) we use a class-based polygram language model (Schukat-Talamazzini, ... combination of simpler models. The problem is to reduce parameters in a suffi- cient way but end up with a model still able to describe the linguistic facts of natural language translation. ... influences every TL word with the same strength appears to be too simple. In the refined model 2 (Brown et al., 1993) alignment probabilities a(ilj , l, m) are included to model the effect that...

Báo cáo khoa học: "A Joint Sequence Translation Model with Integrated Reordering" doc

... Ourtranslation model is implemented as an N-gram model of operations using SRILM-Toolkit (Stolcke,2002) with Kneser-Ney smoothing. We use a 9-gram model (m = 8).Integrating the language model the ... maxEpLM(E)p(F, E)where pLM(E) is the monolingual language model and p(F, E) is the translation model. But our trans-lation model is a joint probability model, because ofwhich E is generated twice ... weight associated with the featurehj(F, E). Other than the 3 features discussed above(log probabilities of the operation model, monolin-gual language model and prior probability model) ,we train...

Báo cáo khoa học: "A Preference-first Language Processor Integrating the Unification Grammar and Markov Language Model for Speech Recognition-ApplicationS" potx

... recognition system. The language processor consists of a language model and a parser. The language model properly integrates the unification grammar and the Markov language model, while the parser ... summarized. The Laneua~e Model The goal of the language model is to participate in the selection of candidate constituents for a sentence to be identified. The proposed language model is composed ... language processor has been developed and tested on a small lexicon, a Markov language model, and a simple set of unification grammar rules for the Chinese language, although the present model...

Báo cáo khoa học: "A FLEXIBLE NATURAL LANGUAGE PARSER BASED ON A TWO-LEVEL REPRESENTATION OF SYNTAX" ppt

... in our pa~ ser basically agrees with this position. In a rat~ er vague sense, the non-complete nodes of our tree correspond with the Active Node Stack, i.e. with the not yet completed constituents ... node REF2. The translation associated with CONN3 is (join %s tudent (select &sex ((~sex eq m))) ($student eq ~person)) The translation associated with REL2 is (select &pass ((~course ... tion-action. With each syntactic category a subset of these rules is associated: when an input word of the given category is encountered in the input sen tence, then the subset of rules associated with...

Tài liệu Báo cáo khoa học: A novel dicyclodextrinyl diselenide compound with glutathione peroxidase activity ppt

... antioxidant enzyme glutathioneperoxidase (GPX). In this novel GPX model, b-cyclodextrin provided ahydrophobic environment for substrate binding within its cavity, and acyclohexylamine group was incorporated ... selenium groupshould be critical in the construction of an effectiveGPX model. Previous studies by our group in prepar-ing GPX models using a mAb technique [15,16], bio-imprinting [17] and the chemical ... b-CD shows good substratebinding compared with Ebselen [15]. When the sub-strates were H2O2, t-BuOOH and CumOOH, we foundthat the GPX activities with 6-CySeCD for the reduc-tion of H2O2,...

Tài liệu Báo cáo khoa học: "Large-Scale Syntactic Language Modeling with Treelets" docx

... TREELET model, we alsoshow results for the following baselines:5-GRAM A 5-gram interpolated Kneser-Ney model. PCFG-LA The Berkeley Parser in language model mode.HEADLEX A head-lexicalized model ... that the n-gram language model used by the MTsystem was much smaller than the 5-GRAM model, as they wereonly trained on the English sides of their parallel data.fect language model might not ... UnitedStates were asked to compare translations using ourTREELET language model as the language model feature to those using the 5-GRAM model. 12We had1000 such translation pairs rated by 4 separate...

Tài liệu Báo cáo khoa học: "A Syntax-Driven Bracketing Model for Phrase-Based Translation" pptx

... instance with the minimal τ(ci k), 2)the bracketable instance with the maximal τ(ci k),3) the unbracketable instance with the minimalτ(ci k), and 4) the unbracketable instance with themaximal ... con-straints are sensitive to language pairs. In the fu-ture work, we will use other language pairs to testour models so that we could know whether ourmethod is language- independent.ReferencesColin ... that during decoding we aremore concerned with the question of phrase co-hesion, i.e. whether the current phrase can betranslated as a unit or not within particular syntac-tic contexts (Fox,...

Tài liệu Báo cáo khoa học: "A Graph-based Semi-Supervised Learning for Question-Answering" doc

... isstill comparable with SVM. On the other hand,when we build separate models for copula andnon-copula questions with different features, theperformance of the overall model significantly in-creases ... tex-tual entailment analysis. Question- Type Classifier (QC): QC is the taskof identifying the type of a given question amonga predefined set of question types. The type ofa question is used as a clue ... question and turn into affirmativeform by replacing the wh-word with a place-holder and associating the question word with the question- type from the QC module. For example:720”What is the...

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