[PDF] Top 20 Context-dependent factored language models
Has 10000 "Context-dependent factored language models" found on our website. Below are the top 20 most common "Context-dependent factored language models".
Context-dependent factored language models
... The first step in building context-dependent models was to define factors. The Obeliks tagger generates tags according to the JOS specifications, in which 12 different POS tags are defined, some of ... See full document
16
Combination of Recurrent Neural Networks and Factored Language Models for Code Switching Language Modeling
... For this work, three different topics are investi- gated and combined: linguistic investigation of Code-Switching, recurrent neural network lan- guage modeling and factored language models. In ... See full document
6
Context Dependent Alignment Models for Statistical Machine Translation
... collections, comprising 300k parallel sentence pairs, a to- tal of 8.4M words of Arabic and 9.5M words of English. The Arabic language incorporates into its words sev- eral prefixes and suffixes which determine ... See full document
9
Deciphering Foreign Language by Combining Language Models and Context Vectors
... Unsupervised training of statistical translations sys- tems without parallel data and related problems have been addressed before. In this section, we will re- view previous approaches and highlight similarities and ... See full document
9
Automatic Speech Recognition using different Neural Network Architectures – A Survey
... Sak, H. et al. (2015) [18] investigated that the use of sMBR (state- level MinimumBayesRisk) trained Connectionist Temporal Classification model and introduction of context dependent phone models ... See full document
6
Factored models for Deep Machine Translation
... The process is quite similar to supertagging (Bangalore and Joshi, 1999), which assigns “rich de- scriptions (supertags) that impose complex constraints in a local context”. In our case, all the linguistic ... See full document
9
Context-dependent sound event detection
... effect models through a grammar network similar to language models in speech ...The context- recognition stage proposed in this article will solve the associations of the sound events by ... See full document
13
A Policy Based Approach to Context Dependent Natural Language Generation
... the context of ...the context and how it influences language. This context can, in general, include aspects of the user themselves, general aspects of the situation and also the task the user ... See full document
7
Sharp Nearby, Fuzzy Far Away: How Neural Language Models Use Context
... retailers dependent on apparel sales for the majority of their revenues </s> what 's encouraging about this is that retail chains will be sold on the basis of their sales and earnings not liquidation values ... See full document
11
Stochastic Language Generation in Dialogue using Factored Language Models
... classification models predicting whether each candidate sequence is a valid ...large context dependencies of the features, we limit our search to sequences in the n-best list GEN(x) produced by the short ... See full document
38
Exploring constructivist task motivation of English L2 acquisition graduate students through learning materials
... Second Language Acquisition (ESLA) students to perform tasks through Second Language (L2) materials can, to a great extent, be factored in and sustained through students’ agency to participate in ... See full document
21
Transformer XL: Attentive Language Models beyond a Fixed Length Context
... character-level language modeling, which out- perform LSTMs by a large ...fixed context length, the model cannot capture any longer-term dependency beyond the prede- fined context ... See full document
11
The Karlsruhe Institute of Technology Systems for the News Translation Task in WMT 2016
... n-gram models were initially described in (Le et ...such models, the size of output vo- cabulary is a bottleneck when normalized distribu- tions are needed (Bengio et ... See full document
8
PERFORMING LANGUAGE FUNCTIONS IN GERMAN LEGISLATIVE TEXTS
... situations in the minds of individualsis the condition of their successful speech activity. M.A.K. Halliday considers that if the communicative situation meets a set of key parameters, the relevant scenario is actualized ... See full document
12
A Split and Recombine Approach for Follow up Query Analysis
... with context-independent semantic parsing, context-dependent semantic parsing has received less ...with context-dependent log- ical forms (Zettlemoyer and Collins, 2009) and a ... See full document
11
Wider Context by Using Bilingual Language Models in Machine Translation
... bilingual context within the phrase pairs, in the n-gram approach the n-gram model trained on the tuples is used to capture bilingual context be- tween the ...ditional models like, for example, ... See full document
9
Pitfalls of the most commonly used models of context dependent substitution
... codon context is weighted by the resulting nucleotide ...GY models, the rates are proportional to the fre- quency of the resulting tuple (doublet or codon respec- ...classify models according to ... See full document
17
Ambiguity and context-dependent overloading
... the context of languages that support context-dependent overloading, such as ...programming language that supports context-dependent overloading and follow the Hindley-Milner ... See full document
12
Putting Words in Context: LSTM Language Models and Lexical Ambiguity
... In language, a word can contribute a very differ- ent meaning to an utterance depending on the con- text, a phenomenon known as lexical ambiguity (Cruse, 1986; Small et ...learning models of ... See full document
7
The Karlsruhe Institute of Technology Translation Systems for the WMT 2014
... cluster-based language models trained on the provided data. Additional models include bilingual lan- guage models, reordering models based on part-of-speech tags and syntactic parse ... See full document
6
Related subjects