Fine-Grained Morpho-Syntactic Analysis for the Under-Resourced Language Chaghatay
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
TalkTag: Fine-Grained Morphosyntactic Error Annotation for Transcribed Speech
Fine-grained morphosyntactic error annotation is important in clinical and developmental language research, yet it is labour-intensive, expert-dependent, and difficult to scale. We present TalkTag, an LLM-based lightweig…
To Diverge or Not to Diverge: A Morphosyntactic Perspective on Machine Translation vs Human Translation
We conduct a large-scale fine-grained comparative analysis of machine translations (MT) against human translations (HT) through the lens of morphosyntactic divergence. Across three language pairs and two types of diverge…
AttributeDiversityMachine TranslationTranslationFine-grained Morphosyntactic Analysis and Generation Tools for More Than One Thousand Languages
Exploiting the broad translation of the Bible into the world{'}s languages, we train and distribute morphosyntactic tools for approximately one thousand languages, vastly outstripping previous distributions of tools devo…
RerankingTranslationDo Not Fire the Linguist: Grammatical Profiles Help Language Models Detect Semantic Change
Morphological and syntactic changes in word usage (as captured, e.g., by grammatical profiles) have been shown to be good predictors of a word's meaning change. In this work, we explore whether large pre-trained contextu…
Change DetectionLanguage ModelingLanguage ModellingXLM-RJoint Prediction of Morphosyntactic Categories for Fine-Grained Arabic Part-of-Speech Tagging Exploiting Tag Dictionary Information
Part-of-speech (POS) tagging for morphologically rich languages such as Arabic is a challenging problem because of their enormous tag sets. One reason for this is that in the tagging scheme for such languages, a complete…
Multi-Task LearningPart-Of-Speech TaggingPOSPOS Tagging+2