Hiroyuki Sasai

Bio: Hiroyuki Sasai is an academic researcher. The author has contributed to research in topics: Template method pattern & Parsing. The author has an hindex of 7, co-authored 15 publications receiving 390 citations.

Probabilistic information retrieval based on differential latent semantic space

Abstract: A computer-based information search and retrieval system and method for retrieving textual digital objects that makes full use of the projections of the documents onto both the reduced document space characterized by the singular value decomposition-based latent semantic structure and its orthogonal space. The resulting system and method has increased robustness, improving the instability of the traditional keyword search engine due to synonymy and/or polysemy of a natural language, and therefore is particularly suitable for web document searching over a distributed computer network such as the Internet.

System and method for accurate grammar analysis using a part-of-speech tagged (POST) parser and learners' model

Abstract: An accurate grammar analyzer based on a so-called POST (part-of-speech tagged) parser (322) and a learners' model for use in automated language learning applications such as the template-based ICALL (intelligent computer assisted language learning) system (300).

System and method for accurate grammar analysis using a learners' model and part-of-speech tagged (post) parser

Abstract: An accurate grammar analyzer based on a so-called POST (part-of-speech tagged) (322) parser and a learners' model (STEP 200) for use in automated language learning applications such as the template-based ICALL (intelligent computer assisted language learning) system (Fig.2).

Computer-assisted memory translation scheme based on template automaton and latent semantic index principle

Abstract: A new, more efficient memory translation algorithm facilitating the acquisition of a most appropriate translation in a target language from among those of nearly narrowed-down candidates of translation by separately applying the so-called dimension reducing functions of a template automaton and the LSI (latent semantic index) technique. Both the template automaton and the LSI principle play an important role in implementing an efficient process of narrowing down an efficient solution space from among the many example sentences of the databases in a target language by exploiting their respective unique search space reduction function. Once developed into a fully operational system, an expert editor rather than an expert translator can tune up the translation memory system, markedly widening the range of available experts who can utilize the system.

Method, apparatus, and recording medium for retrieving optimum template pattern

Abstract: To retrieve an optimum template pattern in response to an input sentence, a set of templates is arranged in a plurality of template blocks containing an arbitrary number of sentence components, including grammatically correct and/or incorrect components. A score is assigned to every word in the set of templates according to its importance. The candidate template patterns and the input sentence are retrieved, the scores of the matched words are calculated, and the total of the scores of the entire paths are calculated. Optimum level comparison values are then calculated using the score of the matching words as the numerator and the total score as the denominator. The candidate template pattern having the largest optimum level comparison value among optimum level comparison values that provide the largest numerator, is selected as the optimum template pattern. The input sentence is then corrected using this optimum template pattern.

Intelligent Automated Assistant

Abstract: An intelligent automated assistant system engages with the user in an integrated, conversational manner using natural language dialog, and invokes external services when appropriate to obtain information or perform various actions. The system can be implemented using any of a number of different platforms, such as the web, email, smartphone, and the like, or any combination thereof. In one embodiment, the system is based on sets of interrelated domains and tasks, and employs additional functionally powered by external services with which the system can interact.

A Syntax-based Statistical Translation Model

Abstract: We present a syntax-based statistical translation model. Our model transforms a source-language parse tree into a target-language string by applying stochastic operations at each node. These operations capture linguistic differences such as word order and case marking. Model parameters are estimated in polynomial time using an EM algorithm. The model produces word alignments that are better than those produced by IBM Model 5.

Automated Response to and Sensing of User Activity in Portable Devices

Abstract: The various methods and devices described herein relate to devices which, in at least certain embodiments, may include one or more sensors for providing data relating to user activity and at least one processor for causing the device to respond based on the user activity which was determined, at least in part, through the sensors. The response by the device may include a change of state of the device, and the response may be automatically performed after the user activity is determined.

Using context information to facilitate processing of commands in a virtual assistant

Abstract: A virtual assistant uses context information to supplement natural language or gestural input from a user. Context helps to clarify the user's intent and to reduce the number of candidate interpretations of the user's input, and reduces the need for the user to provide excessive clarification input. Context can include any available information that is usable by the assistant to supplement explicit user input to constrain an information-processing problem and/or to personalize results. Context can be used to constrain solutions during various phases of processing, including, for example, speech recognition, natural language processing, task flow processing, and dialog generation.

Method and apparatus for building an intelligent automated assistant

Abstract: A method and apparatus are provided for building an intelligent automated assistant. Embodiments of the present invention rely on the concept of “active ontologies” (e.g., execution environments constructed in an ontology-like manner) to build and run applications for use by intelligent automated assistants. In one specific embodiment, a method for building an automated assistant includes interfacing a service-oriented architecture that includes a plurality of remote services to an active ontology, where the active ontology includes at least one active processing element that models a domain. At least one of the remote services is then registered for use in the domain.