Visual and Task characteristics may explain hemispheric asymmetry in visual word recognition Kloser Chee Fung Cheung () Janet Hui-wen Hsiao () Department of Psychology, University of Hong Kong 6

Source URL: web.hku.hk

Hallym: Named Entity Recognition on Twitter with Induced Word Representation Eun-Suk Yang Hallym University

Source URL: noisy-text.github.io

French-learning toddlers use gender information on determiners during word recognition

Source URL: www.gr.uqam.ca

Improving Twitter Named Entity Recognition using Word Representations Zhiqiang Toh, Bin Chen and Jian Su Institute for Infocomm Research 1 Fusionopolis Way Singapore

Source URL: noisy-text.github.io

Microsoft Word - Recognition Dinner Program 2016

Source URL: www.rpi.edu

Asymmetries in the exploitation of phonetic features for word recognition

Source URL: www.lscp.net

Multimedia Lab @ ACL W-NUT NER Shared Task: Named Entity Recognition for Twitter Microposts using Distributed Word Representations Baptist Vandersmissen Fr´ederic Godin Multimedia Lab

Source URL: noisy-text.github.io

Regressive Coarticulation of Pharyngealization in Arabic Spoken Word Recognition Sawsan Alwabari and Tania Zamuner Department of Linguistics, University of Ottawa; Various phonetic and phonological pr

Source URL: labphon.org

Intelligently Aiding Human-Guided Correction of Speech Recognition

Source URL: www.keithv.com

• Computing
• Software
• User interface techniques
• Humancomputer interaction
• Input/output
• User interfaces
• Computational linguistics
• Speech recognition
• Typing
• Word error rate
• User interface
• Autocomplete

Speech Dasher: A Demonstration of Text Input using Speech and Approximate Pointing Keith Vertanen David J.C. MacKay

Source URL: www.keithv.com

• Computing
• Humancomputer interaction
• Software
• User interface techniques
• Input/output
• Computational linguistics
• Dasher
• GNOME Accessibility
• Speech recognition
• Words per minute
• Computer keyboard
• Word error rate