SLSP 2014 - 2nd International Conference on Statistical Language and Speech Processing, SLSP

The conference invites submissions discussing the employment of statistical methods (including machine learning) within language and speech processing. The list below is indicative and not exhaustive:
phonology, morphology
syntax, semantics
discourse, dialogue, pragmatics
statistical models for natural language processing
supervised, unsupervised and semi-supervised machine learning methods applied to natural language, including speech
statistical methods, including biologically-inspired methods
similarity
alignment
language resources
part-of-speech tagging
parsing
semantic role labelling
natural language generation
anaphora and coreference resolution
speech recognition
speaker identification/verification
speech transcription
text-to-speech synthesis
machine translation
translation technology
text summarisation
information retrieval
text categorisation
information extraction
term extraction
spelling correction
text and web mining
opinion mining and sentiment analysis
spoken dialogue systems
author identification, plagiarism and spam filtering