Analyzing and identifying multiword expressions in spoken language
نویسندگان
چکیده
منابع مشابه
Analyzing and identifying multiword expressions in spoken language
The present paper investigates multiword expressions (MWEs) in spo ken language and possible ways of identifying MWEs automatically in speech corpora. Two MWEs that emerged from previous studies and that occur frequently in Dutch are analyzed to study their pronunciation characteristics and compare them to those of other utterances in a large speech corpus. The analyses reveal that these MWEs ...
متن کاملMultiword Expressions in Child Language
The goal of this work is to introduce CHILDES-MWE, which contains English CHILDES corpora automatically annotated with Multiword Expressions (MWEs) information. The result is a resource with almost 350,000 sentences annotated with more than 70,000 distinct MWEs of various types from both longitudinal and latitudinal corpora. This resource can be used for large scale language acquisition studies...
متن کاملParsing Models for Identifying Multiword Expressions
Multiword expressions lie at the syntax/semantics interface and have motivated alternative theories of syntax like Construction Grammar. Until now, however, syntactic analysis and multiword expression identification have been modeled separately in natural language processing. We develop two structured prediction models for joint parsing and multiword expression identification. The first is base...
متن کاملIdentifying Bengali Multiword Expressions using Semantic Clustering
One of the key issues in both natural language understanding and generation is the appropriate processing of Multiword Expressions (MWEs). MWEs pose a huge problem to the precise language processing due to their idiosyncratic nature and diversity in lexical, syntactical and semantic properties. The semantic of a MWE cannot be expressed after combining the semantic of its constituents. Therefore...
متن کاملMultiword expressions in spoken language: An exploratory study on pronunciation variation
The study presented in this paper was aimed at exploring the possibilities of modelling specific pronunciation characteristics of multiword expressions (MWEs) for both automatic speech recognition (ASR) and automatic phonetic transcription (APT). For this purpose, we first drew up an inventory of frequently found N-grams extracted from orthographic transcriptions of spontaneous speech contained...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Language Resources and Evaluation
سال: 2009
ISSN: 1574-020X,1574-0218
DOI: 10.1007/s10579-009-9095-y