[PDF] Top 20 Larger Context Language Modelling with Recurrent Neural Network
Has 10000 "Larger Context Language Modelling with Recurrent Neural Network" found on our website. Below are the top 20 most common "Larger Context Language Modelling with Recurrent Neural Network".
Larger Context Language Modelling with Recurrent Neural Network
... There are three major differences in the pro- posed approach from the work by Mikolov and Zweig (2012). First, the goal in this work is to explicitly model preceding sentences to bet- ter approximate the corpus-level ... See full document
11
A hybrid input-type recurrent neural network for LVCSR language modeling
... We evaluated our approach with two different recog- nition tasks: broadcast news transcription and speech- to-speech translation. Acoustic model training data of our speech recognizer composes of 224 hours of speech from ... See full document
12
Long Short Term Memory Networks for Machine Reading
... the network to uncover lexical relations between ...recursive neural networks for learning natural language ...the context of recur- rent neural networks, efforts to build modular, ... See full document
11
A Parallel Recurrent Neural Network for Language Modeling with POS Tags
... In recent years, there was an increasing number of research integrating knowledge into RNN. Mikolov and Zweig (2012) incorporated topic information as a feature layer into RNNLM. Ji et al. (2015) em- ployed the hidden ... See full document
8
Joint Language and Translation Modeling with Recurrent Neural Networks
... the language pair, and the remainder are parliamentary ...Kneser-Ney language models; the first is estimated on the target-side of the parallel data, while the second is based on a large newswire corpus ... See full document
11
Image Captioning using Multimodal Embedding
... similar context can be used to generate a single ...Convolutional Neural Networks over image regions, bidirectional Recurrent Neural Networks over sentences, and a structured objective that ... See full document
6
A Latent Variable Recurrent Neural Network for Discourse Driven Language Models
... document-level context information into language ...the context from previous two utter- ances as context vector for RNN based language ...the context and current sen- ...RNN ... See full document
11
Duration Modeling For Telugu Language with Recurrent Neural Network
... the neural network consists of a set of features correspond to phonological, positional and contextual information which are extracted from the text ...units larger than the syllable and + / - ... See full document
6
Recurrent neural network language model adaptation for multi-genre broadcast speech recognition and alignment
... 3) Model-based Adaptation Results: The experiments show that LHN adaptation layer fine-tuning of RNNLMs, outper- forms full model fine-tuning in terms of PPL, for both LM 2 and LM1&LM 2 RNNLMs. For the RNNLM trained ... See full document
12
Improving Coverage of an Inuktitut Morphological Analyzer Using a Segmental Recurrent Neural Network
... Turkish. Neural network approaches to morphological processing include a number of neural model ...(LSTM) neural morphological analyz- ers to learn segmentations from unsupervised text, by ... See full document
6
Dependency Recurrent Neural Language Models for Sentence Completion
... on language modelling has shifted focus from count-based models to neural ...the recurrent neural network (RNN) lan- guage model by incorporating the syntac- tic dependencies of ... See full document
7
Dynamic Entity Representations in Neural Language Models
... Rich-context language models. The originally proposed recurrent neural network language mod- els only capture information within ...to language modeling and re- lated ... See full document
10
Recurrent Neural Network Grammars
... in neural parsing by Hender- son (2004), who hypothesized that larger, unstruc- tured conditioning contexts are harder to learn from, and provide opportunities to ...much larger training sets ... See full document
11
Enhancing recurrent neural network-based language models by word tokenization
... size. Recurrent neural networks-based language models with large numbers of neurons are expected to need larger memory sizes than that of other traditional language ...a ... See full document
13
Incorporating Side Information into Recurrent Neural Network Language Models
... Recurrent neural network language models (RNNLM) have recently demonstrated vast potential in modelling long-term dependen- cies for NLP problems, ranging from speech recognition to ... See full document
6
A Neural Model for Language Identification in Code Switched Tweets
... a language ID shared task that focused on tweets that code-switch between two ...several language pairs were included in the shared task, we evaluated only on Spanish-English in these ...either ... See full document
5
Deep Learning Based Crime Investigation Framework
... used network analysis for finding the links and COPLINK DETECT which was used to detect the false identities and addresses supplied by the ...mathematical modelling and regression to predict the change in ... See full document
5
Improving Machine Translation Quality Estimation with Neural Network Features
... propose neural network fea- tures, including embedding features and cross-entropy features of source sentences and machine translations, to improve machine translation quality ...the recurrent ... See full document
5
Sparse Non negative Matrix Language Modeling
... tic language models and topic models achieved a perplexity of 176 on the test set, a 23% relative re- duction compared to ...even larger reduction of 26% than the one reported by Tan et ... See full document
14
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers
... Wouldn’t it be nice if machines could understand content in images and communicate this understanding as effectively as humans? Such technology would be immensely powerful, be it for aiding a visually- impaired user ... See full document
38
Related subjects