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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 ...
A Scalable Distributed Syntactic,Semantic,and Lexical Language Model
Distributed Syntactic Semantic Lexical
2015/9/10
This paper presents an attempt at building a large scale distributed composite language model that is formed by seamlessly integrating an n-gram model, a structured language model, and probabilistic l...
Levenshtein Distances Fail to Identify Language Relationships Accurately
Levenshtein Distances Fail Identify Language
2015/9/9
The Levenshtein distance is a simple distance metric derived from the number of edit operations needed to transform one string into another. This metric has received recent attention as a means of aut...
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...
Beyond LDA:Exploring Supervised Topic Modeling for Depression-Related Language in Twitter
Beyond LDA Exploring Supervised Topic Modeling Depression-Related Language Twitter
2015/9/2
Topic models can yield insight into how depressed and non-depressed individuals use language differently. In this paper, we explore the use of supervised topic models in the analysis of linguistic sig...
The Language Faculty
Language Faculty
2015/9/2
A review essay on the human visual system can safely presuppose that there is such a system, with homologs in other species, and get on with describing what scientists have learned about how retinal i...
I had heard it said that Chomsky’s conception of language is at odds with the truth-conditional program in semantics. Some of my friends said it so often that the point—or at least a point—finally sun...
Coherence in Natural Language:Data Stuctures and Applications
Natural Language Data Stuctures and Applications
2015/9/2
In his blurb on the back cover, Mark Liberman calls this book “the biggest step forward [in research on discourse structure] since Aristotle.” Given this eminent recommendation, I read the book with g...
Representation and Inference for Natural Language: A First Course in Computational Semantics
Natural Language Computational Semantics
2015/9/1
Computational semanticsis the study of how to represent meaning in a way that computers can use. For the authors of this textbook, this study includes the representation of
the meaning of natural lan...
A Life of Language
Life Language
2015/8/31
This is a truly overwhelming experience. Since I am not a cat, I expect to have one lifetime in which to achieve anything, and one award for it at the most. So this is it, and I am honored and humbled...
Squibs and Discussions Real versus Template-Based Natural Language Generation: A False Opposition?
Squibs and Discussions Real versus Language Generation:
2015/8/31
This article challenges the received wisdom that template-based approaches to the generation of
language are necessarily inferior to other approaches as regards their maintainability, linguistic
wel...
Discriminative Reranking for Natural Language Parsing
Natural Language Parsing Discriminative Reranking
2015/8/31
This article considers approaches which rerank the output of an existing probabilistic parser.
The base parser produces a set of candidate parses for each input sentence, with associated
probabiliti...
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...
Subjectivity in natural language refers to aspects of language used to express opinions, evaluations, and speculations. There are numerous natural language processing applications for which subjectivi...
Head-Driven Statistical Models for Natural Language Parsing
Natural Language Parsing Statistical Models
2015/8/28
This article describes three statistical models for natural language parsing. The models extend
methods from probabilistic context-free grammars to lexicalized grammars, leading to approaches
in whi...