Báo cáo khoa học: "Language Model Based Arabic Word Segmentation" pdf
Báo cáo khoa học: "Language Model Based Arabic Word Segmentation" pdf
... does not handle the multiple affixes per word we observe in Arabic. 2 Words Prefixes Stems Suffixes Arabic Translit. Arabic Translit. Arabic Translit. Arabic Translit. تﺎﻳﻻﻮﻟ ا AlwlAyAt ... segmented Arabic corpus and uses it to bootstrap an unsupervised algorithm to build the Arabic word segmenter from a large unsegmented Arabic corpus. The algorithm uses a trigram language model ... Table 1 Segmentation of Arabic Words into Prefix*-Stem-Suffix* 3 Morpheme Segmentation 3.1 Trigram Language Model Given an Arabic sentence, we use a trigram language model on morphemes to...
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Tài liệu Báo cáo khoa học: "Bilingually Motivated Domain-Adapted Word Segmentation for Statistical Machine Translation" pptx
... iterations).4 Word Lattice Decoding4.1 Word LatticesIn the decoding stage, the various segmentationalternatives can be encoded into a compact rep-resentation of word lattices. A word lattice ... utilisation of word lattice decoding.4.3 Phrase -Based Word Lattice DecodingGiven a Chinese input sentence cJ1consisting of Jcharacters, the traditional approach is to determinethe best word segmentation ... segmenter is dictionary -based with word fre-quency information to help disambiguation, bothof which are collected from data in the news do-main. We used Chinese character -based and man-ual segmentations...
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Báo cáo khoa học: "Incremental Joint Approach to Word Segmentation, POS Tagging, and Dependency Parsing in Chinese" potx
... beamsto compare words of different lengths using beamsearch. More recently, Zhang and Clark (2010) pro-posed an efficient character -based decoder for their word -based model. In their new model, a singlebeam ... decoding, we take a character -based approachto produce our joint model. The incremental framework of our model is based on the joint POS tagging and dependency parsing model for Chinese (Hatori ... baseline(pipeline) models1.To address this issue, we propose an indexingscheme using the number of character -based arcs.We presume that in addition to the word- to -word de-pendency arcs, each word (of...
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Tài liệu Báo cáo khoa học: "An ERP-based Brain-Computer Interface for text entry using Rapid Serial Visual Presentation and Language Modeling" ppt
... language model. For the current study, all language models wereestimated from a one million sentence (210M char-acter) sample of the NY Times portion of the EnglishGigaword corpus. Models were ... language model integrationwith RSVP is relatively straightforward, as we shalldemonstrate. See Roark et al. (2010) for methodsintegrating language modeling into grid scanning.2 RSVP based BCI ... assumes the EEG -based informationand the language model information are statisticallyindependent given the class label) is used to combinethe RDA discriminant score and the language model score...
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Tài liệu Báo cáo khoa học: "A Phrase-based Statistical Model for SMS Text Normalization" ppt
... normalization model consists of two sub-models: a word -based language model (LM), characterized by1(| )nnPee−)k and a phrase- based lexical mapping model (channel model) , characterized ... ……=11MkKssss= …… . The channel model can be rewritten in equation (3). 4.1 Basic Word -based Model The SMS normalization model is based on the source channel model (Shannon, 1948). Assum-ing ... the model to allow many words to many words alignment, allowing a sequence of SMS words to be normal-ized to a sequence of contiguous English words. We call this updated model a phrase-based...
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Báo cáo khoa học: "Maximum Entropy Based Phrase Reordering Model for Statistical Machine Translation" docx
... flexible. It makes our model reorder anyblocks, observed in training or not. The wholemaximum entropy based reordering model is em-bedded inside a log-linear phrase -based model oftranslation. ... length 28.3 wordson a 2GHz Linux system with 4G RAM memory.3 Maximum Entropy Based Reordering Model In this section, we discuss how to create a max-imum entropy based reordering model. As de-scribed ... can be modelled as a problem of521classification with only two labels, straight andinverted. In this paper, we build a maximum en-tropy based classification model as the reordering model. Different...
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Tài liệu Báo cáo khoa học: A knowledge-based potential function predicts the specificity and relative binding energy of RNA-binding proteins ppt
... optimistic that this knowledge -based potentialfunction will find broad application to problemsrequiring the high-resolution modeling of protein–RNA interfaces, such as structure -based genome anno-tation, ... this workdemonstrates that statistical models allow the quantitative analysis ofprotein–RNA recognition based on their structure and can be applied tomodeling protein–RNA interfaces for prediction ... ofprotein-specific pair potentials based on weak sequencefragment similarity. Proteins: Struct Funct Genet 38,3–16.23 Lu H & Skolnick J (2001) A distance-dependent atomicknowledge -based potential for...
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Tài liệu Báo cáo khoa học: "Translation Model Adaptation for Statistical Machine Translation with Monolingual Topic Information" doc
... successfully in NLP community. Based on the “bag-of-words” assumption that the or-der of words can be ignored, these methods model the text corpus by using a co-occurrence matrix ofwords and documents, ... Markov Model( HTMM) which isthe basis of our method, then describe our approachto translation model adaptation in detail.3.1 Hidden Topic Markov Model During the last couple of years, topic models ... if: (1) theremust be at least one word inside one phrase alignedto a word inside the other phrase and (2) no wordsinside one phrase can be aligned to a word outsidethe other phrase. After...
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Tài liệu Báo cáo khoa học: "A Ranking-based Approach to Word Reordering for Statistical Machine Translation" doc
... mimic912the word order in target language. To this end, wepropose a simple but effective ranking -based ap-proach to word reordering. The ranking model isautomatically derived from the word aligned ... phrase- based SMT system.1 IntroductionModeling word reordering between source and tar-get sentences has been a research focus since theemerging of statistical machine translation. Inphrase -based ... thephrase -based systems discussed above, because ofeither distortion limits or lack of discriminative fea-tures for modeling. The most notable solution to thisproblem is adopting syntax -based SMT models,...
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Tài liệu Báo cáo khoa học: "A Graph-based Semi-Supervised Learning for Question-Answering" doc
... informationextraction of our QA system. The NER moduleis based on a combination of user defined rules based on Lesk word disambiguation (Lesk, 1988),WordNet (Miller, 1995) lookups, and many user-defined ... variation of Collins rules,hypernym extraction via Lesk word disambigua-tion (Lesk, 1988), regular expressions for wh- word indicators, n-grams, word- shapes(capitals),etc. Extracted question-type ... jointlyas NUM:Count. The QC model is trained via sup-port vector machines (SVM) (Vapnik, 1995) con-sidering different features such as semantic head- word feature based on variation of Collins...
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