Literature Reviews — A11y Paradise

Cognitively Motivated Features for Readability Assessment

Lijun Feng, Noémie Elhadad, Matt Huenerfauth (2009) — Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2009)

Feng, Elhadad, and Huenerfauth (2009) develop and evaluate an automatic readability-assessment tool targeted specifically at adults with intellectual disabilities (ID) — people in the 'mild' category (IQ 55-70), who comprise roughly 3% of the U.S. po…

Design and Evaluation of an American Sign Language Generator

Matt Huenerfauth, Liming Zhao, Erdan Gu, Jan Allbeck (2007) — Proceedings of the Workshop on Embodied Language Processing (EmbodiedNLP 2007)

Huenerfauth, Zhao, Gu, and Allbeck (2007) describe the implementation and user evaluation of a prototype system for generating animations of American Sign Language (ASL) classifier predicates — spatially complex hand movements that trace the location…

A Multi-Path Architecture for Machine Translation of English Text into American Sign Language Animation

Matt Huenerfauth (2004) — Proceedings of the Student Research Workshop at HLT-NAACL 2004

Huenerfauth's 2004 student-research-workshop paper proposes a 'multi-path' (or 'pyramidal') architecture for English-to-American Sign Language machine translation that unifies the three classical MT paradigms — direct, transfer, and interlingua — int…

A Comparison of Features for Automatic Readability Assessment

Lijun Feng, Martin Jansche, Matt Huenerfauth, Noémie Elhadad (2010) — Proceedings of the 23rd International Conference on Computational Linguistics (COLING '10), Posters

Feng et al. (2010) is a computational-linguistics paper that compares a wide variety of text features for automatically predicting the grade level of reading material aimed at primary-school students. The motivation is both intrinsic — traditional re…

American Sign Language natural language generation and machine translation

Matt Huenerfauth (2005) — SIGACCESS Accessibility and Computing

Matt Huenerfauth's 2005 paper describes a research programme to build an English-to-American Sign Language (ASL) machine translation (MT) system that generates animations of a 3D virtual-reality signing character. The author frames the project agains…

American Sign Language Generation: Multimodal NLG with Multiple Linguistic Channels

Matt Huenerfauth (2005) — Proceedings of the ACL Student Research Workshop (ACLstudent '05)

This short student-research-workshop paper presents the design rationale for Huenerfauth's English-to-ASL machine translation system, framing American Sign Language generation as a form of multimodal natural language generation (NLG) with multiple pa…

Collecting a Motion-Capture Corpus of American Sign Language for Data-Driven Generation Research

Pengfei Lu, Matt Huenerfauth (2010) — Proceedings of the NAACL HLT 2010 Workshop on Speech and Language Processing for Assistive Technologies (SLPAT '10)

This workshop paper describes the first year of a multi-year project at CUNY to build a motion-capture corpus of American Sign Language (ASL) specifically intended to support data-driven ASL animation and machine-translation research. The authors arg…