Across a number of sign languages, temporal and spatial characteristics of
dominant hand articulation are used to express semantic and grammatical
features. In this study of Austrian Sign Language (\"Osterreichische
Geb\"ardensprache, or \"OGS), motion capture data of four Deaf signers is used
to quantitatively characterize the kinematic parameters of sign production in
verbs and adjectives. We investigate (1) the difference in production between
verbs involving a natural endpoint (telic verbs; e.g. arrive) and verbs lacking
an endpoint (atelic verbs; e.g. analyze), and (2) adjective signs in
intensified vs. non-intensified (plain) forms. Motion capture data analysis
using linear-mixed effects models (LME) indicates that both the endpoint
marking in verbs, as well as marking of intensification in adjectives, are
expressed by movement modulation in \"OGS. While the semantic distinction
between verb types (telic/atelic) is marked by higher peak velocity and shorter
duration for telic signs compared to atelic ones, the grammatical distinction
(intensification) in adjectives is expressed by longer duration for intensified
compared to non-intensified adjectives. The observed individual differences of
signers might be interpreted as personal signing style.

使用运动捕捉数据对奥地利手语（OGS）的动词和形容词产生的运动参数进行了定量表征，结果发现动词的种类（有终点和无终点）通过峰值速度和持续时间的差异来区分，而在形容词中的强调程度则通过持续时间的长短来表达。

奥地利手语动作捕捉中的动词和形容词类型分析

Motion Capture Analysis of Verb and Adjective Types in Austrian Sign  Language

We present an experiment in extracting adjectives which express a specific
semantic relation using word embeddings. The results of the experiment are then
thoroughly analysed and categorised into groups of adjectives exhibiting formal
or semantic similarity. The experiment and analysis are performed for English
and Croatian in the domain of karstology using data sets and methods developed
in the TermFrame project. The main original contributions of the article are
twofold: firstly, proposing a new and promising method of extracting
semantically related words relevant for terminology, and secondly, providing a
detailed evaluation of the output so that we gain a better understanding of the
domain-specific semantic structures on the one hand and the types of
similarities extracted by word embeddings on the other.

本文介绍一种使用词嵌入提取具有特定语义关系的形容词的实验，并对其进行了详细分析和分类。作者利用 TermFrame 项目中开发的数据集和方法，在岩溶学领域中使用英语和克罗地亚语进行了实验和分析。本文的两个主要原创贡献是：首先，提出了一种新的、有前景的提取与术语相关的语义词的方法；其次，通过对输出进行详细评估，让我们更好地了解特定领域的语义结构和词嵌入提取的相似性类型。

在喀斯特学领域中，通过词嵌入实现专业形容词的双语翻译

A bilingual approach to specialised adjectives through word embeddings in the karstology domain

We use large-scale corpora in six different gendered languages, along with
tools from NLP and information theory, to test whether there is a relationship
between the grammatical genders of inanimate nouns and the adjectives used to
describe those nouns. For all six languages, we find that there is a
statistically significant relationship. We also find that there are
statistically significant relationships between the grammatical genders of
inanimate nouns and the verbs that take those nouns as direct objects, as
indirect objects, and as subjects. We defer a deeper investigation of these
relationships for future work.

本文研究了六种不同性别的语言中，无生命名词的语法性别和形容词、动词的关系，并发现这些关系在所有语言中都具有统计学显著性。