Collocation or Free Combination? --- Applying Machine Translation Techniques to identify collocations in Japanese

2014-05-01 · LREC 2014 5 · Lis Pereira, Elga Strafella, Yuji Matsumoto

This work presents an initial investigation on how to distinguish collocations from free combinations. The assumption is that, while free combinations can be literally translated, the overall meaning of collocations is different from the sum of the translation of its parts. Based on that, we verify whether a machine translation system can help us perform such distinction. Results show that it improves the precision compared with standard methods of collocation identification through statistical association measures.

📄 PDF Abstract BibTeX

Code (0)

등록된 구현이 없습니다.

Tasks

Machine Translation Translation

Aggregation methods for efficient collocation detection

2014-05-01 · LREC 2014 5 · Anca Dinu, Liviu Dinu, Ionut Sorodoc

In this article we propose a rank aggregation method for the task of collocations detection. It consists of applying some well-known methods (e.g. Dice method, chi-square test, z-test and likelihood ratio) and then aggre…

Machine Translation Text Classification Text Generation Text Summarization+1

Parsing and MWE Detection: Fips at the PARSEME Shared Task

2017-04-01 · WS 2017 4 · Vasiliki Foufi, Luka Nerima, {\'E}ric Wehrli

Identifying multiword expressions (MWEs) in a sentence in order to ensure their proper processing in subsequent applications, like machine translation, and performing the syntactic analysis of the sentence are interrelat…

Lexical Analysis Machine Translation Sentence Translation

Example-based Acquisition of Fine-grained Collocation Resources

2016-05-01 · LREC 2016 5 · Sara Rodr{\'\i}guez-Fern{\'a}ndez, Roberto Carlini, Luis Espinosa Anke, Leo Wanner

Collocations such as {``}heavy rain{''} or {``}make [a] decision{''}, are combinations of two elements where one (the base) is freely chosen, while the choice of the other (collocate) is restricted, depending on the base…

Word Embeddings

CollFrEn: Rich Bilingual English–French Collocation Resource

2020-12-01 · COLING (MWE) 2020 12 · Beatriz Fisas, Luis Espinosa Anke, Joan Codina-Filbá, Leo Wanner

Collocations in the sense of idiosyncratic lexical co-occurrences of two syntactically bound words traditionally pose a challenge to language learners and many Natural Language Processing (NLP) applications alike. Reliab…

Machine Translation Relation Classification Text Generation Translation+1

Using bilingual word-embeddings for multilingual collocation extraction

2017-04-01 · WS 2017 4 · Marcos Garcia, Marcos Garc{\'\i}a-Salido, Margarita Alonso-Ramos

This paper presents a new strategy for multilingual collocation extraction which takes advantage of parallel corpora to learn bilingual word-embeddings. Monolingual collocation candidates are retrieved using Universal De…

Machine Translation Translation Word Embeddings