Patent
Predictive text input
Jannes Dolfing,Brent D. Ramerth,Douglas R. Davidson,Jerome R. Bellegarda,Jennifer Moore,Andreas Eminidis,Joshua H. Shaffer +6 more
- 22 May 2015
86
TL;DR: In this paper, a text input can be associated with an input context and a weighting factor can be determined based on a degree of similarity between the text context and the context.
read more
Abstract: Systems and processes for predictive text input are provided. In one example process, a text input can be received. The text input can be associated with an input context. A frequency of occurrence of an m-gram with respect to a subset of a corpus can be determined using a language model. The subset can be associated with a context. A weighting factor can be determined based on a degree of similarity between the input context and the context. A weighted probability of a predicted text given the text input can be determined based on the frequency of occurrence of the m-gram and the weighting factor. The m-gram can include at least one word in the text input and at least one word in the predicted text.
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
Patent
Voice trigger for a digital assistant
Justin G. Binder,Onur E. Tackin,Samuel D. Post,Thomas R. Gruber +3 more
- 07 Feb 2014
TL;DR: In this paper, a method for operating a voice trigger is presented, which includes determining whether at least a portion of the sound input corresponds to a predetermined type of sound, such as a human voice.
365
Patent
Intelligent automated assistant for tv user interactions
Marcel van Os,Harry J. Saddler,Lia T. Napolitano,Jonathan H. Russell,Patrick M. Lister,Rohit Dasari +5 more
- 26 Sep 2014
TL;DR: In this article, a virtual assistant can interact with a television set-top box to control content shown on a television and execute tasks according to the user's intent, including causing playback of media on the television.
288
Patent
Multi-command single utterance input method
Thomas R. Gruber,Harry J. Saddler,Jerome R. Bellegarda,Bryce H. Nyeggen,Alessandro Sabatelli +4 more
- 28 May 2015
TL;DR: In this paper, the authors describe a system for handling multi-part voice commands for a virtual assistant that includes multiple actionable commands within a single utterance using a speech transcription process, where the text string can be parsed into multiple candidate substrings based on domain keywords, imperative verbs, predetermined substring lengths, or the like.
225
Patent
Mobile device having human language translation capability with positional feedback
Michael M. Lee,Justin Gregg,Chad G. Seguin +2 more
- 17 Jun 2015
TL;DR: In this article, a mobile electronic device has a touch sensitive screen and an accelerometer, and a translator is used to translate a word or phrase that is in a first human language and that is entered via a first virtual keyboard displayed on the touch-sensitive screen, into a second human language.
203
Patent
User profiling for voice input processing
Allen P. Haughay
- 13 Nov 2015
TL;DR: In this paper, a voice input is processed using a subset of words from a library used to identify the words or phrases of the voice input provided by the user, such that the particular subset can be selected such that voice inputs provided by a user are more likely to include words from the subset.
185
References
•Book
Artificial Intelligence: A Modern Approach
Stuart Russell,Peter Norvig +1 more
- 01 Jan 2020
TL;DR: In this article, the authors present a comprehensive introduction to the theory and practice of artificial intelligence for modern applications, including game playing, planning and acting, and reinforcement learning with neural networks.
21.4K
•Proceedings Article
Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
John Lafferty,Andrew McCallum,Fernando Pereira +2 more
- 28 Jun 2001
TL;DR: This work presents iterative parameter estimation algorithms for conditional random fields and compares the performance of the resulting models to HMMs and MEMMs on synthetic and natural-language data.
A translation approach to portable ontology specifications
TL;DR: This paper describes a mechanism for defining ontologies that are portable over representation systems, basing Ontolingua itself on an ontology of domain-independent, representational idioms.
14.1K
Indexing by Latent Semantic Analysis
TL;DR: A new method for automatic indexing and retrieval to take advantage of implicit higher-order structure in the association of terms with documents (“semantic structure”) in order to improve the detection of relevant documents on the basis of terms found in queries.
•Book
Foundations of Statistical Natural Language Processing
Christopher D. Manning,Hinrich Schütze +1 more
- 28 May 1999
TL;DR: This foundational text is the first comprehensive introduction to statistical natural language processing (NLP) to appear and provides broad but rigorous coverage of mathematical and linguistic foundations, as well as detailed discussion of statistical methods, allowing students and researchers to construct their own implementations.
Related Papers (5)
Bruno M. Schulze,エム．シュルツェ ブルーノ +1 more
- 10 Dec 1999
Zhao Weidong,Li Huaze,Wang Ming,Liu Hao +3 more
- 17 Jan 2020