Translator的問題，透過圖書和論文來找解法和答案更準確安心。 我們挖掘出下列價位、菜單、推薦和訂位總整理

Quantitative Literary Analysis of Aphra Behn’’s Works

為了解決Translator的問題，作者Runge, Laura L. 這樣論述：

Aphra Behn (1640-1689), prolific and popular playwright, poet, novelist, and translator, has a fascinating and extensive corpus of literature that plays a key role in literary history. The book offers an analysis of all of Behn’s literary output. It examines the author’s use of words in terms of

frequencies and distributions, and stacks the oeuvre in order to read Behn’s word usage synchronically. This experimental analysis of Behn’s literary corpus aims to provide a statistical overview of Behn’s writing and a study of her works according to the logic of the concordance. The analysis demon

strates the interpretive potential of digital corpus work, and it provides a fascinating reading of synchronic patterns in Behn’s writing. The book aims to augment the practice of close-reading by facilitating the rapid moves from full corpus to unique subsets, individual texts, and specific passage

s. It facilitates the connections among works that share verbal structures that would otherwise not register in diachronic reading. Each chapter focuses on one type of writing: poetry, drama, and prose. The chapters begin with an overview of the documents that make up the corpus for the genre (e.g.

the 80 published poems attributed to Behn in her lifetime; 18 plays and 12 prose works). A section on statistical commonplaces follows (length of texts, vocabulary density, and most frequent words). Interesting textual examples are explored in more detail for provocative close readings. The statisti

cs then are contextualized with the general language reference corpus for a discussion of keywords. Each chapter features a unique comparative study that illustrates Behn in a specific context. Each chapter analyzes a specific genre and comparative statistical experiments within the genre. The concl

usion compares all three genres to provide a study of Aphra Behn’s oeuvre as a whole. The discussion is focused through the lens of Behn’s most remarkable words. The keywords for her oeuvre as compared to the literary works in the general language reference (fifteen texts) when the proper names and

stage directions are removed to provide an index of Behn’s characteristic themes and qualities: oh, young, lover, love, marry, charming, heart, gay, soft, goes. Each of these words opens a window on her corpus as a whole. A unique case study of a significant author using new literary methodologies,

this book provides an appealing snapshot of Behn’s whole career informed by deep knowledge of the Restoration era and developments in digital humanities and cultural analytics.

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基於原生架構設計與實現應用WebRTC的即時多媒體通訊

為了解決Translator的問題，作者陳哲偉 這樣論述：

自2020年起，全世界都飽受COVID-19所苦，新冠肺炎的高度傳染性對於現今社會造成極大的衝擊。公司員工每週定期面對面匯報工作進度的晨會被迫中止，遠端通訊媒體如雨後春筍般地湧現， Google Meet、Microsoft Teams 和 Zoom 等各種應用了 WebRTC 的通信應用如雨後春筍般湧現，皆旨在為疫情時代找出讓生活重回正軌的方法。WebRTC，全稱為Web Real-Time Connection，是一種藉由點對點的UDP來傳送串流資料的架構，它能夠通過應用程序介面來為行動裝置提供即時通信，並以具有相當低的延遲而聞名。而以原生的架構實現則可以讓其對裝置的控制力最大化。本論文

提出一種基於原生架構設計與實現應用WebRTC的即時多媒體通訊，冀望能為後疫情時代重建中的秩序盡一份心力。

Table for One: Stories

為了解決Translator的問題，作者Yun, Ko-Eun 這樣論述：

An office worker who has no one to eat lunch with enrolls in a course that builds confidence about eating alone. A man with a pathological fear of bedbugs offers up his body to save his building from infestation. A time capsule in Seoul is dug up hundreds of years before it was intended to be uneart

hed. A vending machine repairman finds himself trapped in a shrinking motel during a never-ending snowstorm. In these and other indelible short stories, contemporary South Korean author Yun Ko-eun conjures up slightly off-kilter worlds tucked away in the corners of everyday life. Her fiction is burs

ting with images that toe the line between realism and the fantastic. Throughout Table for One, comedy and an element of the surreal are interwoven with the hopelessness and loneliness that pervades the protagonists' decidedly mundane lives. Yun's stories focus on solitary city dwellers, and her ecc

entric, often dreamlike humor highlights their sense of isolation. Mixing quirky and melancholy commentary on densely packed urban life, she calls attention to the toll of rapid industrialization and the displacement of traditional culture. Acquainting the English-speaking audience with one of South

Korea's breakout young writers, Table for One presents a parade of misfortunes that speak to all readers in their unconventional universality. Yun Ko-eun is the award-winning author of three novels and three short story collections. Born in 1980, she lives in Seoul. Lizzie Buehler is a translator

from Korean and an MFA student in literary translation at the University of Iowa.

基於機器學習技術之別名分析

為了解決Translator的問題，作者鄭禔陽 這樣論述：

別名分析是編譯器中很重要的一部分，和程式碼後續的優化息息相關。目前大部分編譯器，如 GCC 或 LLVM 都是以基於規則的方式去進行別名分析。這種傳統的分析方法雖然擁有高度的準確度，但同時也相當耗時，特別是遇到大型程式的情況。於是本論文採用近年來較流行的自然語言處理相關的機器學習方法，嘗試去理解程式碼的「語意」，並直接分析程式碼本身。透過這種方法可以大幅減少計算量，藉此達到加速的效果。而且透過機器學習神經網路所得到的結果為一機率，相比傳統方法的分類，這種結果可以有更靈活的應用，例如在 Compiler speculation 中，可以更直接地計算期望值。透過實驗證明，和 LLVM 原始的分析

工具將比，本論文的模型預測準確率可達到 92.6%，並且有三倍的加速。