1
Zhengyang Xie, Jianfeng Gao, Zhongqi Liu, Jian Li, Hongfeng Huang, Lin Wang, Yunsheng Pi: Cordless indicia reader with a multifunction coil for wireless charging and EAS deactivation. Hand Held Products, Additon Higgins & Pendleton PA, October 25, 2016: US09478113 (128 worldwide citation)

A cordless indicia reader including a multifunction coil that can be configured to either transmit or receive electromagnetic energy is disclosed. In this way, the multifunction coil facilitates both the wireless charging of a battery and the wireless deactivation of electronic article surveillance ...


2
Jianfeng Gao, Mingjing Li: Method and apparatus for distribution-based language model adaptation. Microsoft Corporation, Theodore M Magee, Westman Champlin & Kelly P A, May 9, 2006: US07043422 (107 worldwide citation)

A method and apparatus are provided for adapting a language model to a task-specific domain. Under the method and apparatus, the relative frequency of n-grams in a small training set (i.e. task-specific training data set) and the relative frequency of n-grams in a large training set (i.e. out-of-dom ...


3
Hai Feng Wang, Chang Ning Huang, Kai Fu Lee, Shuo Di, Jianfeng Gao, Dong Feng Cai, Lee Feng Chien: System and iterative method for lexicon, segmentation and language model joint optimization. Microsoft Corporation, Microsoft, June 7, 2005: US06904402 (77 worldwide citation)

A method for optimizing a language model is presented comprising developing an initial language model from a lexicon and segmentation derived from a received corpus using a maximum match technique, and iteratively refining the initial language model by dynamically updating the lexicon and re-segment ...


4
Jianfeng Gao, Kai Fu Lee, Mingjing Li, Hai Feng Wang, Dong Feng Cai, Lee Feng Chien: System and method for joint optimization of language model performance and size. Microsoft Corporation, Lee Hayes PLLC, September 25, 2007: US07275029 (36 worldwide citation)

A method for the joint optimization of language model performance and size is presented comprising developing a language model from a tuning set of information, segmenting at least a subset of a received textual corpus and calculating a perplexity value for each segment and refining the language mod ...


5
Jianfeng Gao, Kuansan Wang: Training a search result ranker with automatically-generated samples. Microsoft Corporation, November 15, 2011: US08060456 (30 worldwide citation)

A search result ranker may be trained with automatically-generated samples. In an example embodiment, user interests are inferred from user interactions with search results for a particular query so as to determine respective relevance scores associated with respective query-identifier pairs of the ...


6
Ming Zhou, Hua Wu, Yue Zhang, Jianfeng Gao, Chang Ning Huang: Method and system for retrieving confirming sentences. Microsoft Corporation, John D Veldhuis Kroeze, Westman Champlin & Kelly P A, March 20, 2007: US07194455 (22 worldwide citation)

A method, computer readable medium and system are provided which retrieve confirming sentences from a sentence database in response to a query. A search engine retrieves confirming sentences from the sentence database in response to the query. IN retrieving the confirming sentences, the search engin ...


7
Jianfeng Gao: Mining bilingual dictionaries from monolingual web pages. Microsoft Corporation, Alleman Hall McCoy Russell & Tuttle, July 19, 2011: US07983903 (20 worldwide citation)

Systems and methods for identifying translation pairs from web pages are provided. One disclosed method includes receiving monolingual web page data of a source language, and processing the web page data by detecting the occurrence of a predefined pattern in the web page data, and extracting a plura ...


8
Joshua Goodman, Jianfeng Gao: Cluster and pruning-based language model compression. Microsoft Corporation, Theodore M Magee, Westman Champlin & Kelly P A, August 24, 2004: US06782357 (18 worldwide citation)

Cluster- and pruning-based language model compression is disclosed. In one embodiment, a language model is first clustered, such as by using predictive clustering. The language model after clustering has a larger size than it did before clustering. The language model is then pruned, such as by using ...


9
Jianfeng Gao, Hisami Suzuki: Discriminative training for language modeling. Microsoft Corporation, Theodore M Magee, Westman Champlin & Kelly P A, March 16, 2010: US07680659 (16 worldwide citation)

A method of training language model parameters trains discriminative model parameters in the language model based on a performance measure having discrete values.


10
Jianfeng Gao, Mu Li, Chang Ning Huang, Jian Sun, Lei Zhang, Ming Zhou: Using source-channel models for word segmentation. Microsoft Corporation, Thomas M Magee, Westman Champlin & Kelly P A, February 17, 2009: US07493251 (14 worldwide citation)

A method and apparatus for segmenting text is provided that identifies a sequence of entity types from a sequence of characters and thereby identifies a segmentation for the sequence of characters. Under the invention, the sequence of entity types is identified using probabilistic models that descri ...