This volume contains the papers presented at the First International Conference
on Statistical Language and Speech Processing (SLSP 2013), held in Tarragona,
Spain, during July 29–31, 2013.
SLSP 2013 was the first event in a series to host and promote research on the
wide spectrum of statistical methods that are currently in use in computational
language or speech processing. SLSP aims to attract contributions from both
fields. The conference encourages discussion on the employment of statistical
methods (including machine learning) within language and speech processing.
The scope of the SLSP series is rather broad, and includes the following areas:
phonology, morphology; syntax, semantics; discourse, dialog, 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 labeling; natural language generation; anaphora and coreference resolution;
speech recognition; speaker identification/verification; speech transcription; textto-speech
synthesis; machine translation; translation technology; text summarization;
information retrieval; text categorization; information extraction; term
extraction; spelling correction; text and Web mining; opinion mining and sentiment
analysis; spoken dialog systems; author identification, plagiarism and spam
filtering.