Knowledge Expansion of a Statistical Machine Translation System using Morphological Resources

Translation capability of a Phrase-Based Statistical Machine Translation (PBSMT) system mostly depends on parallel data and phrases that are not present in the training data are not correctly translated. This paper describes a method that efficiently expands the existing knowledge of a PBSMT system without adding more parallel data but using external morphological resources. A set of new phrase associations is added to translation and reordering models; each of them corresponds to a morphological variation of the source/target/both phrases of an existing association. New associations are generated using a string similarity score based on morphosyntactic information. We tested our approach on En-Fr and Fr-En translations and results showed improvements of the performance in terms of automatic scores (BLEU and Meteor) and reduction of out-of-vocabulary (OOV) words. We believe that our knowledge expansion framework is generic and could be used to add different types of information to the model.JRC.G.2-Global security and crisis managemen

Special Libraries, February 1966

Volume 57, Issue 2https://scholarworks.sjsu.edu/sla_sl_1966/1001/thumbnail.jp

Special Libraries, November 1980

Volume 71, Issue 11https://scholarworks.sjsu.edu/sla_sl_1980/1009/thumbnail.jp

Digital Forensics Tools Integration

As technology has become pervasive in our lives we record our daily activities both intentionally and unintentionally. Because of this, the amount of potential evidence found on digital media is staggering. Investigators have had to adapt and change their methods of conducting investigations to address the data volume. Digital forensics examiners current process consists of performing string searches to identify potential evidentiary items. Items of interest must then go through association, target comparison, and event reconstruction processes. These are manual and time consuming tasks for an examiner. This thesis presents a user interface that combines both the string searching capabilities that begin an investigation with automated correlation and abstraction into a single timeline visualization. The capability to improve an examiner\u27s process is evaluated on the tools ability to reduce the number of results to sort through while accurately presenting key items for three use cases

Special Libraries, February 1964

Volume 55, Issue 2https://scholarworks.sjsu.edu/sla_sl_1964/1001/thumbnail.jp

Special Libraries, December 1974

Volume 65, Issue 12https://scholarworks.sjsu.edu/sla_sl_1974/1008/thumbnail.jp