language modelling
Entity Decisions in Neural Language Modelling: Approaches and Problems
... variable modelling the decision whether to produce an entity with two extra embeddings, one for a new entity (similar to the other models) and one for the case that the token does not be- long to an ...overall ...
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Sub character Neural Language Modelling in Japanese
... Japanese language makes use of Chinese-derived ideographs (“kanji”) which contain sub-character elements (“bushu”) that to varying degrees reflect the semantics of the ...Japanese language models do not ...
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Improving cross domain n gram language modelling with skipgrams
... processes language model in a cross-domain setting by adding skip- grams as ...cross-domain language modelling task, and up to 6% reduction in a within-domain experiment, for both English and ...
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Pragmatic Neural Language Modelling in Machine Translation
... natural language systems such as speech recognizers (Mikolov et ...Neural language models combat the problem of data sparsity inherent to tra- ditional n-gram models by learning distributed rep- ...
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Transfer Learning for British Sign Language Modelling
... BSL language modelling would increase the OOV count as the English language does not have equivalent language ...sign language can be modelled using other languages that may have these ...
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Extracting Protein-Protein Interactions with Language Modelling
... In this paper, we model the corpus-based re- lation extraction task, namely protein-protein interaction, as a classification problem. In that framework, we first show that standard ma- chine learning systems exploiting ...
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Topic-based mixture language modelling
... IR modelling framework and to investigate a mixture language modelling approach suitable for ...mixture language model is ...adaptive language modelling scheme is also ...
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PCFG Induction for Unsupervised Parsing and Language Modelling
... For the tests in the first section of Table 1 (i.e. above the first dashed line), our algorithm was ca- pable of exactly identifying the structure of the tar- get grammar. Notwithstanding this, the bracketing results for ...
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Randomised Language Modelling for Statistical Machine Translation
... order n-grams and larger monolingual corpora to be used more easily for language modelling in SMT. In a companion paper (Talbot and Osborne, 2007) we have proposed a framework for deriving con- ventional ...
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Larger Context Language Modelling with Recurrent Neural Network
... dialogue modelling and in our case, document modelling), there are two technical dif- ...better language modelling quality than the early ...
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Bayesian Language Modelling of German Compounds
... Statistical language modelling addresses the problem of assigning probabilities to sentences in natural ...such, language models (LMs) play a crucial role in machine translation (MT) and automatic ...
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Statistical analysis of orthographic and phonemic language corpus for word-based and phoneme-based Polish language modelling
... word-based language models for Polish. As previously written, the language modelling may be based on mod- elling of words, as well as sub-words ...phoneme-based language models for ...
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Some Results on Stochastic Language Modelling
... SOME RESULTS ON STOCHASTIC LANGUAGE MODELLING S O M E R E S U L T S O N S T O C H A S T I C L A N G U A G E M O D E L L I N G Renato De Mori and Roland Kuhn S c h o o l o f C o m p u t e r S c i e n c[.] ...
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Hierarchical Bayesian Language Modelling for the Linguistically Informed
... n-gram language mod- elling. Their Factored Language Model (FLM) views a word as a vector of features, such that a particular feature value is generated conditional on some history of preceding feature ...
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MEMO Organisation Modelling Language (2): Focus on Business Processes
... Execution Language for Web Services (BPEL4WS, Andrews et ...Definition Language (WPDL, Coalition 1996), which was proposed by the Work-‐‑ flow Management ...Process Modelling Notation (BPMN) started ...
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Integrating a Neutral Action Language in a DEVS Modelling Environment
... We have implemented a feedback loop such that the errors de- tected in the generated textual DEVSLang model can be fed back to the AToMPM visual modelling environment. This is based on traceability information. ...
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OCLh: A Sound and Supportive Planning Domain Modelling Language
... and unsupervised condition types, the definitions of linear soundness and transparency are over- restrictive. In the case of the supervised condition type this should not be a problem. Supervised conditions have the ...
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Some Applications of Tree based Modelling to Speech and Language
... Some Applications of Tree based Modelling to Speech and Language S o m e A p p l i c a t i o n s o f T r e e b a s e d M o d e l l i n g t o S p e e c h a n d L a n g u a g e Michael D Riley A T , ~ T[.] ...
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SOME REFLECTIONS ON THE BASIC CONCEPTUALISATION OF A RESOURCE MODELLING LANGUAGE
... the modelling of existing business ...the modelling purpose, the modelling of types and instances might be supported by a resource modelling ...adequate language features. Such a ...
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Some Methodological Clues for Defining a Unified Enterprise Modelling Language
... Abstract The need for a Unified Enterprise Modelling Language (UEML) that would be used as in inter-lingua among enterprise modelling software tools has been es- tablished. The process of defining ...
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