Cross-linguistic Influences on Sentence Accent Detection in Background Noise
نویسندگان
چکیده
منابع مشابه
Vision and Language in Cross-Linguistic Research on Sentence Production
A classic assumption in the cognitive sciences has been the existence of an invariant cognitive architecture underlying language processing. Perhaps for this reason, the early days of modern psycholinguistics saw little engagement with cross-language data. Indeed, despite the vitality of the discipline in the 1960s and 1970s, it is striking that the language in which experiments were conducted ...
متن کاملThe Cross-linguistic Study of Sentence Production
The mechanisms underlying language production are often assumed to be universal, and hence not contingent on a speaker’s language. This assumption is problematic for at least two reasons. Given the typological diversity of the world’s languages, only a small subset of languages has actually been studied psycholinguistically. And, in some cases, these investigations have returned results that at...
متن کاملAccent and Focus in Ot: a Cross–linguistic Perspective
Patterns of accent placement show cross-linguistic variation. In this thesis I will present a formal account of this variation within an Optimality Theoretic (OT) framework. Following a suggestion in Schwarzschild (1999), I will propose that accent pattern is determined by a grammatical principle (roughly: stress the most embedded constituent) which in English, but not in Italian can be overrul...
متن کاملCross-linguistic differences and their impact on L2 sentence processing
Using a self-paced reading task, the present study investigates how highly proficient second language (L2) speakers of German with English as their native language process unambiguous wh-subject-extractions and wh-object-extractions in German. Previous monolingual research has shown that English and German exhibit different processing preferences for the type of wh-question under investigation,...
متن کاملCluster detection in background noise
If a feature space contains a set of clusters and background noise, it may be difficult to extract the clusters correctly. In particular, when we use a partitioning scheme such as k-means clustering, where k is the correct number of clusters, the background noise points are forced to join the clusters, thus biasing their statistics. This paper describes a preprocessing technique that gives each...
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 and Speech
سال: 2019
ISSN: 0023-8309,1756-6053
DOI: 10.1177/0023830918819573