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Socrates once said: “It is not the size of a thing, but the quality that truly matters. For it is in the nature of substance, not its volume, that true value is found.”
It was a natural inclination to task a large language model (LLM) like CHATGPT with creating a poem that delves into the topic of large language models, and subsequently utilize said poem as an introd...
Using stochastic language models (SLM) to map lexical, syntactic, and phonological information processing in the brain
map lexical syntactic
2017/9/1
Language comprehension involves the simultaneous processing of information at the phonological, syntactic, and lexical level. We track these three distinct streams of information in the brain by using...
Stochastic Language Generation in Dialogue using Factored Language Models
Stochastic Language Generation Dialogue Factored Language Models
2015/9/14
Most previous work on trainable language generation has focused on two paradigms: (a) using a generation decisions of an existing generator. Both approaches rely on the existence of a handcrafted gene...
Language Models for Machine Translation:Original vs. Translated Texts
Language Models Machine Translation Original vs.Translated Texts
2015/9/10
We investigate the differences between language models compiled from original target-language texts and those compiled from texts manually translated to the target language. Corroborating established ...
This article investigates the effects of different degrees of contextual granularity on language model performance. It presents a new language model that combines clustering and half-contextualization...
A General Technique to Train Language Models on Language Models
Language Models Train Language Models
2015/8/31
We show that under certain conditions, a language model can be trained on the basis of a
second language model. The main instance of the technique trains a finite automaton on the
basis of a p...
Incremental Language Models for Speech Recognition using Finite-State Transducers
Speech Recognition Transducers
2015/3/11
Incremental Language Models for Speech Recognition using Finite-State Transducers.
Automatic Induction of N-Gram Language Models from a Natural Language Grammar
N-Gram Language Models a Natural Language Grammar
2015/3/11
Automatic Induction of N-Gram Language Models from a Natural Language Grammar.
Using Untranscribed User Utterances for Improving Language Models based on Confidence Scoring
Language Models Confidence Scoring
2015/3/11
Using Untranscribed User Utterances for Improving Language Models based on Confidence Scoring.
Generalized Linear Interpolation of Language Models.
A Collective Data Generation Method for Speech Language Models
Language models crowdsourcing
2015/3/9
A Collective Data Generation Method for Speech Language Models.
A COLLECTIVE DATA GENERATION METHOD FOR SPEECH LANGUAGE MODELS
Language models crowdsourcing Amazon Mechanical Turk
2014/11/27
Recently we began using Amazon Mechanical Turk (AMT), an Internet marketplace, to deploy our spoken dialogue systems to large audiences for user testing and data collection purposes. This crowdsourcin...
Incorporating Linguistic Structure into Maximum Entropy Language Models
Incorporating Linguistic Structure Entropy Language Models
2010/12/14
Incorporating Linguistic Structure into Maximum Entropy Language Models.