@inproceedings{hassanawadalla2008a,
author = {Hassan Awadalla, Hany and Sima'an, Khalil and Way, Andy},
title = {A syntactic language model based on incremental CCG parsing},
booktitle = {IEEE Spoken Language Technology Workshop, 2008. SLT 2008.},
year = {2008},
month = {December},
abstract = {Syntactically-enriched language models (parsers) constitute a promising component in applications such as machine translation and speech-recognition. To maintain a useful level of accuracy, existing parsers are non-incremental and must span a combinatorially growing space of possible structures as every input word is processed. This prohibits their incorporation into standard linear-time decoders. In this paper, we present an incremental, linear-time dependency parser based on Combinatory Categorial Grammar (CCG) and classification techniques. We devise a deterministic transform of CCG-bank canonical derivations into incremental ones, and train our parser on this data. We discover that a cascaded, incremental version provides an appealing balance between efficiency and accuracy.},
url = {http://approjects.co.za/?big=en-us/research/publication/syntactic-language-model-based-incremental-ccg-parsing/},
edition = {IEEE Spoken Language Technology Workshop, 2008. SLT 2008.},
}