Chasing the Perfect Splitter: A Comparison of Different Compound Splitting Tools
This paper reports on the evaluation of two compound splitters for German. Compounding is a very frequent phenomenon in German and thus efficient ways of detecting and correctly splitting compound words are needed for natural language processing applications. This paper presents different strategies for compound splitting, focusing on German. Four compound splitters for German are presented. Two of them were used in Statistical Machine Translation (SMT) experiments, obtaining very similar qualitative scores in terms of BLEU and TER and therefore a thorough evaluation of both has been carried out.
Code (0)
등록된 구현이 없습니다.
Tasks
Machine TranslationTranslationSimilar Papers 제목 키워드 기반
Evaluating Compound Splitters Extrinsically with Textual Entailment
Traditionally, compound splitters are evaluated intrinsically on gold-standard data or extrinsically on the task of statistical machine translation. We explore a novel way for the extrinsic evaluation of compound splitte…
Information RetrievalMachine TranslationNatural Language InferenceSpeech Recognition+1Simple Compound Splitting for German
This paper presents a simple method for German compound splitting that combines a basic frequency-based approach with a form-to-lemma mapping to approximate morphological operations. With the exception of a small set of …
Information RetrievalLEMMAMachine TranslationTop a Splitter: Using Distributional Semantics for Improving Compound Splitting
A Novel Splitter Design for RSMA Networks
Rate splitting multiple access (RSMA) has firmly established itself as a powerful methodology for multiple access, interference management, and multi-user strategy for next-generation communication systems. In this paper…
ManagementA Joint Approach to Compound Splitting and Idiomatic Compound Detection
Applications such as machine translation, speech recognition, and information retrieval require efficient handling of noun compounds as they are one of the possible sources for out-of-vocabulary (OOV) words. In-depth pro…
Information RetrievalMachine TranslationRetrievalspeech-recognition+2