A survey on efficient extraction of named entities from new domains using big data analytics
CJ Saju, AS Shaja - … on Recent Trends and Challenges in …, 2017 - ieeexplore.ieee.org
Named Entity Recognition (NER) is an important step in text mining. This paper proposes a
survey on extracting named entities from new domains using big data analytics. The survey …
survey on extracting named entities from new domains using big data analytics. The survey …
Evaluating the cooling subsystem availability on a cloud data center
A data center is divided into three basic subsystems: information technology (IT), power, and
cooling. Cooling plays an important role related to data center availability, and a failure in …
cooling. Cooling plays an important role related to data center availability, and a failure in …
[PDF][PDF] Leveraging Simultaneous Translation for Enhancing Transcription of Low-resource Language via Cross Attention Mechanism.
This work addresses automatic speech recognition (ASR) of a low-resource language using
a translation corpus, which includes the simultaneous translation of the low-resource …
a translation corpus, which includes the simultaneous translation of the low-resource …
Creating a multimodal translation tool and testing machine translation integration using touch and voice
Commercial software tools for translation have, until now, been based on the traditional
input modes of keyboard and mouse, latterly with a small amount of speech recognition …
input modes of keyboard and mouse, latterly with a small amount of speech recognition …
Improving on-line handwritten recognition in interactive machine translation
On-line handwriting text recognition (HTR) could be used as a more natural way of
interaction in many interactive applications. However, current HTR technology is far from …
interaction in many interactive applications. However, current HTR technology is far from …
Integration of statistical models for dictation of document translations in a machine-aided human translation task
This paper presents a model for machine-aided human translation (MAHT) that integrates
source language text and target language acoustic information to produce the text …
source language text and target language acoustic information to produce the text …
[PDF][PDF] Automatic understanding of unwritten languages
O Adams - 2017 - minerva-access.unimelb.edu.au
Many of the world's languages are falling out of use without a written record and minimal
linguistic documentation. Language documentation is a slow process and there are an …
linguistic documentation. Language documentation is a slow process and there are an …
Learning a lexicon and translation model from phoneme lattices
Abstract Language documentation begins by gathering speech. Manual or automatic
transcription at the word level is typically not possible because of the absence of an …
transcription at the word level is typically not possible because of the absence of an …
Efficient integration of translation and speech models in dictation based machine aided human translation
This paper is concerned with combining models for decoding an optimum translation for a
dictation based machine aided human translation (MAHT) task. Statistical language model …
dictation based machine aided human translation (MAHT) task. Statistical language model …