Adaptive statistical language modeling by Lau, Raymond, 1971-

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Document Categorization with Modified Statistical Language Models for Agglutinative Languages by Ahmet Cüneyd Tantug

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A hierarchical nonparametric Bayesian approach to statistical language model domain adaptation by Wood, F, Teh, Y

A Refutation of Finite-State Language Models through Zipf’s Law for Factual Knowledge by Łukasz Dębowski

Subjects: “…statistical language modeling…”
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Generation of Melodies for the Lost Chant of the Mozarabic Rite by Darrell Conklin, Geert Maessen

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Information Theory and Language by Łukasz Dębowski, Christian Bentz

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A Novel Approach for Linguistic Steganography Evaluation Based on Artificial Neural Networks by R. Gurunath, Ahmed H. Alahmadi, Debabrata Samanta, Mohammad Zubair Khan, Abdulrahman Alahmadi

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Detecting clinically relevant new information in clinical notes across specialties and settings by Rui Zhang, Serguei V. S. Pakhomov, Elliot G. Arsoniadis, Janet T. Lee, Yan Wang, Genevieve B. Melton

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Rapid Text Entry Using Mobile and Auxiliary Devices for People with Speech Disorders Communication by Iurii V. Krak, Olexander V. Barmak, Ruslan O. Bahrii, Waldemar Wójcik, Saule Rakhmetullina, Saltanat Amirgaliyeva

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<b>Statistical Language Models for Information Retrieval ChengXiang Zhai</b> University of Illinois at Urbana Champaign Morgan &amp; Claypool (Synthesis Lectures on Human Language Technologies, edited by Graeme Hirst), volume 1, 2008; xiii+125 pp, Princeton, NJ; paperbound, ISBN 978-1-59829-590-0, $40.00; ebook, ISBN 978-1-59829-591-7, $30.00 or by subscription by Eric Gaussier

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Cognitively Motivated Query Abstraction Model Based on Associative Root-Pattern Networks by Haddad Bassam

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The handbook of computational linguistics and natural language processing / by Clark, Alexander (Alexander Simon), Fox, Chris, 1965-, Lappin, Shalom.

Wo stehen wir in der Grammatiktheorie? Bemerkungen anlässlich eines Buchs von Stefan Müller by Sternefeld Wolfgang, Richter Frank

“…To what extent this claim is justified seems unclear in light of the recent wealth of developments in neighboring fields such as computational linguistics, corpus linguistics, psycholinguistics, and statistical language modeling. In the first section of the paper, we discuss what we perceive to be a widening gap between the claims to all-embracing explanation in theoretical linguistics and the increasingly disturbing neglect of a vast field of new data and analyses in the above-mentioned related disciplines. …”
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A Close-to-linear Topic Detection Algorithm using Relative Entropy based Relevance Model and Inverted Indices Retrieval by Steve Kansheng Shi, Lemin Li

“…Relevance Model(RM) is a theoretical extension of statistical language modeling that was developed for the task of document retrieval. …”
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Learning Representations for Limited and Heterogeneous Medical Data by Weng, Wei-Hung

“…We learn cross-domain representations for clinical language translation with limited and unpaired medical language corpora using unsupervised embedding space alignment with identical anchors for word translation, and conduct sentence translation using statistical language modeling. Using metrics of clinical correctness and readability, the developed method outperforms a dictionary-based algorithm in both word- and sentence-level translation. …”
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Modelo Acústico y de Lenguaje del Idioma Español para el dialecto Cucuteño, Orientado al Reconocimiento Automático del Habla by Juan David Celis Nuñez, Rodrigo Andres Llanos Castro, Byron Medina Delgado, Sergio Basilio Sepúlveda Mora, Sergio Alexander Castro Casadiego

“…Método: Este proyecto utiliza el sistema embebido Raspberry Pi B+ con el sistema operativo Raspbian que es una distribución de Linux, y los softwares de código abierto CMU-Cambridge Statistical Language Modeling toolkit de la Universidad de Cambridge y CMU Sphinx de la Universidad Carnegie Mellon; los cuales se basan en los modelos ocultos de Markov para el cálculo de los parámetros de voz. …”
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Bridging images and natural language with deep learning by Gu, Jiuxiang

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Do we need statistics when we have linguistics? by Cantos Gómez Pascual

“…We shall attempt to present some mathematical and statistical properties of natural languages, and introduce some of the quantitative methods which are of the most value in working empirically with texts and corpora, illustrating the various issues with numerous examples and moving from the most basic descriptive techniques (frequency counts and percentages) to decision-taking techniques (chi-square and z-score) and to more sophisticated statistical language models (Type-Token/Lemma-Token/Lemma-Type formulae, cluster analysis and discriminant function analysis).…”
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Spontaneous speech recognition using HMMs by Yoder, Benjamin W. (Benjamin Wesley), 1977-

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‘A steadying hand’: Ascribing speech acts to users of predictive speech assistive technologies by Rainey, S

“…Some future forms of prostheses, using statistical language models to predict word patterns, could be thought of as participating with communicative intent – not merely channelling it. …”